11545 lines
12 MiB
Plaintext
11545 lines
12 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Лаба 2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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
|
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"text/plain": [
|
|||
|
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"<Figure size 1500x800 with 6 Axes>"
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]
|
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},
|
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
|
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|
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"import numpy as np\n",
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"import cv2 as cv\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"img = cv.imread('img/1.jpg')\n",
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"\n",
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"average_blur = cv.filter2D(img, -1, np.ones((5, 5), np.float32) / 25) \n",
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"simple_blur = cv.blur(img, (5, 5))\n",
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"gaussian_blur = cv.GaussianBlur(img, (5, 5), 0) \n",
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"median_blur = cv.medianBlur(img, 5)\n",
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"bilateral_blur = cv.bilateralFilter(img, 9, 75, 75) \n",
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"\n",
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"images = [img, average_blur, simple_blur, gaussian_blur, median_blur, bilateral_blur]\n",
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"titles = ['Original Image', 'Averaging (filter2D)', 'Average Blur', 'Gaussian Blur', 'Median Blur', 'Bilateral Blur']\n",
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"\n",
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"plt.figure(figsize=(15, 8))\n",
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"\n",
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"for i in range(len(images)):\n",
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" plt.subplot(2, 3, i + 1)\n",
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" plt.imshow(cv.cvtColor(images[i], cv.COLOR_BGR2RGB))\n",
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" plt.title(titles[i])\n",
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" plt.xticks([]), plt.yticks([])\n",
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"\n",
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"plt.tight_layout()\n",
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"plt.show()\n"
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]
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},
|
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|
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{
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"cell_type": "code",
|
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|
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"execution_count": 27,
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"metadata": {},
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|||
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"outputs": [
|
|||
|
|
{
|
|||
|
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"data": {
|
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|
|
"image/png": "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
|
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|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 6 Axes>"
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|
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]
|
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|
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},
|
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|
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"metadata": {},
|
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|
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"output_type": "display_data"
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|
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}
|
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|
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],
|
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|
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"source": [
|
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|
|
"import cv2 as cv\n",
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|
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"import numpy as np\n",
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|
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"from matplotlib import pyplot as plt\n",
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|
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"img = cv.imread('img/gradient.png', cv.IMREAD_GRAYSCALE)\n",
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|
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"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
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|
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"ret,thresh1 = cv.threshold(img,127,255,cv.THRESH_BINARY)\n",
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"ret,thresh2 = cv.threshold(img,127,255,cv.THRESH_BINARY_INV)\n",
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|
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"ret,thresh3 = cv.threshold(img,127,255,cv.THRESH_TRUNC)\n",
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"ret,thresh4 = cv.threshold(img,127,255,cv.THRESH_TOZERO)\n",
|
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|
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"ret,thresh5 = cv.threshold(img,127,255,cv.THRESH_TOZERO_INV)\n",
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|
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"titles = ['Original Image','BINARY','BINARY_INV','TRUNC','TOZERO','TOZERO_INV']\n",
|
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|
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"images = [img, thresh1, thresh2, thresh3, thresh4, thresh5]\n",
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|
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"for i in range(6):\n",
|
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|
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" plt.subplot(2,3,i+1),plt.imshow(images[i],'gray',vmin=0,vmax=255)\n",
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|
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" plt.title(titles[i])\n",
|
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|
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" plt.xticks([]),plt.yticks([])\n",
|
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|
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"plt.show()"
|
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|
|
]
|
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|
|
},
|
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|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 29,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAh4AAAGbCAYAAACLVpm8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOx9d5xcVfn+M22nbk12U0kjoYQaeq/So0QUARGpCvYCNkSxfQVRFH8WBNEACojwBRRUQBAELKBAgBBKSCENNttmp8/uzNzfH/t9zjz37CyEMGSTzX0/n/3s7p1bzj33zH2f87zP+x6f4zgOPPPMM88888wzzzaB+Ue7AZ555plnnnnm2dZjHvDwzDPPPPPMM882mXnAwzPPPPPMM88822TmAQ/PPPPMM88882yTmQc8PPPMM88888yzTWYe8PDMM88888wzzzaZecDDM88888wzzzzbZOYBD88888wzzzzzbJOZBzw888wzzzzzzLNNZh7weIftG9/4Bnw+30Yde/3118Pn82HlypX1bZTYypUr4fP5cP31179j1/DMs5Hs7Xw/ZsyYgfnz59etLfX+LvB8P/jBD+pyvrdr70R73so7asaMGTjrrLPM/w8//DB8Ph8efvjhurXnrdoVV1yBHXbYAZVKZdTasDlaT08P4vE4/vznP78j5/eAxwj2/PPP40Mf+hCmTJmCcDiMyZMn4/TTT8fzzz8/2k0bFeNL4vbbbx/tpni2mduKFSvwyU9+Ettttx1isRhisRjmzp2LT3ziE3j22WdHu3lvy2bMmAGfz/emPx6Q3/wtlUrhe9/7Hr70pS/B79/8XOETTzyBj3/849hzzz0RCoVGBOirV6/GN7/5Teyzzz5obW3F+PHjcdhhh+GBBx4Ytu9hhx024pgNhUJmv3HjxuG8887D1772tXfk3oLvyFm3cLvjjjtw2mmnoa2tDeeeey5mzpyJlStX4le/+hVuv/12/O53v8N73/veDTrXJZdcgi9/+csb1Y4zzjgDp556KsLh8EYd75lnm9ruuecenHLKKQgGgzj99NOx2267we/348UXX8Qdd9yBq6++GitWrMD06dNHu6kbZVdddRUymYz5/89//jNuueUW/OhHP8L48ePN9gMOOGA0mrdF2SGHHIJ8Po+GhoZRuf6vf/1rlEolnHbaaaNy/TezP//5z7juuuuw6667YtasWXj55Zdr7veHP/wB3/ve97BgwQKceeaZKJVKuPHGG3HUUUfh17/+Nc4++2yz71e/+lWcd955ruOz2SwuuOACHH300a7tF1xwAf7f//t/+Nvf/oYjjjiirvfmAQ/Lli1bhjPOOAOzZs3CI488gvb2dvPZZz7zGRx88ME444wz8Oyzz2LWrFkjniebzSIejyMYDCIY3LhuDgQCCAQCG3WsZ55talu2bBlOPfVUTJ8+HQ8++CAmTZrk+vx73/sefv7zn2+Ws8sNtQULFrj+f/3113HLLbdgwYIFmDFjhuuztxsi5TtkrJrf70ckEhm16y9cuBDvec97RrUNb2Qf+9jH8KUvfQnRaBSf/OQnRwQehx9+OFatWuUCvhdccAF23313fP3rX3cBj6OOOmrY8b/97W8BAKeffrpr+4477oidd94Z119/fd2Bx5b7BniH7Pvf/z5yuRyuvfZaF+gAgPHjx+Oaa65BNpvFFVdcYbYzTr1kyRJ88IMfRGtrKw466CDXZ2r5fB6f/vSnMX78eDQ2NuI973kP1q5dC5/Ph2984xtmv1rxU8a1H3vsMeyzzz6IRCKYNWsWbrzxRtc1ent7cdFFF2GXXXZBIpFAU1MTjjvuODzzzDN16qnqvb388sv40Ic+hObmZrS3t+NrX/saHMfB6tWrceKJJ6KpqQkTJ07ElVde6Tp+YGAAX//617HnnnuiubkZ8XgcBx98MB566KFh1+rp6cEZZ5yBpqYmtLS04Mwzz8QzzzxTk9Z+8cUX8f73vx9tbW2IRCLYa6+98Mc//rFu9+1ZbbviiiuQzWaxcOHCYaADAILBID796U9jm222ecPzlEolfPvb38a2226LcDiMGTNm4OKLL0axWKy5//3334/dd98dkUgEc+fOxR133OH6fFN8F97Mrr32WnM/e++9N/7zn/+4Pj/rrLOQSCSwbNkyHH/88WhsbDSOoFKp4KqrrsJOO+2ESCSCCRMm4Pzzz0dfX5/rHP/9739xzDHHYPz48YhGo5g5cybOOeecjWoPAPztb3/DwQcfjHg8jpaWFpx44ol44YUX3vReHcfBd77zHUydOhWxWAyHH354zRB1LY3HYYcdhp133hlLlizB4YcfjlgshilTprjet7RXX30V73nPexCPx9HR0YHPfe5zuO+++zZIN7JixQo8++yzeNe73mW2DQ4Ooq2tzeWoaalUCpFIBBdddNGb3n+9bMKECYhGo2+630477eQCHQAQDodx/PHHY82aNUin0294/M0334x4PI4TTzxx2GdHHXUU7r77btR7EXuP8bDs7rvvxowZM3DwwQfX/PyQQw7BjBkz8Kc//WnYZyeffDLmzJmD7373u2/4oM466yz8/ve/xxlnnIH99tsPf//733HCCSdscBtfeeUVvP/978e5556LM888E7/+9a9x1llnYc8998ROO+0EAFi+fDnuuusunHzyyZg5cyY6OztxzTXX4NBDD8WSJUswefLkDb7em9kpp5yCHXfcEZdffjn+9Kc/4Tvf+Q7a2tpwzTXX4IgjjsD3vvc93HTTTbjooouw995745BDDgEw9GW+7rrrcNppp+EjH/kI0uk0fvWrX+GYY47BE088gd133x3A0Iv33e9+N5544gl87GMfww477IA//OEPOPPMM4e15fnnn8eBBx6IKVOm4Mtf/jLi8Th+//vfY8GCBfjf//3fDQ6RefbW7Z577sHs2bOx7777vq3znHfeebjhhhvw/ve/HxdeeCEef/xxXHbZZXjhhRdw5513uvZdunQpTjnlFFxwwQU488wzsXDhQpx88sm49957zexuU34XatnNN9+MdDqN888/Hz6fD1dccQVOOukkLF++3BVXL5VKOOaYY3DQQQfhBz/4AWKxGADg/PPPx/XXX4+zzz4bn/70p7FixQr89Kc/xdNPP41//OMfCIVCWL9+PY4++mi0t7fjy1/+MlpaWrBy5cphIGxD2/PAAw/guOOOw6xZs/CNb3wD+XweP/nJT3DggQfiqaeeGsbuqH3961/Hd77zHRx//PE4/vjj8dRTT+Hoo4/GwMDABvVXX18fjj32WJx00kn4wAc+gNtvvx1f+tKXsMsuu+C4444DMMQGHXHEEXjttdfwmc98BhMnTsTNN99cc9JSy/75z38CAPbYYw+zLRQK4b3vfS/uuOMOXHPNNa4Q0F133YVisYhTTz31Dc/b39+PwcHBN71+JBJBIpHYoLZurL3++utGYzWSdXV14a9//StOOeWUmuzannvuiR/96Ed4/vnnsfPOO9evcY5nxpLJpAPAOfHEE99wv/e85z0OACeVSjmO4ziXXnqpA8A57bTThu3Lz2hPPvmkA8D57Gc/69rvrLPOcgA4l156qdm2cOFCB4CzYsUKs2369OkOAOeRRx4x29avX++Ew2HnwgsvNNsKhYJTLpdd11ixYoUTDoedb33rW65tAJyFCxe+4T0/9NBDDgDntttuG3ZvH/3oR822UqnkTJ061fH5fM7ll19utvf19TnRaNQ588wzXfsWi0XXdfr6+pwJEyY455xzjtn2v//7vw4A56qrrjLbyuWyc8QRRwxr+5FHHunssssuTqFQMNsqlYpzwAEHOHPmzHnDe/Rs462/v98B4CxYsGDYZ319fU5XV5f5yeVy5jP7+7Fo0SIHgHPeeee5znHRRRc5AJy//e1vZhu/C//7v//rasekSZOcefPmmW31/i6off/73x/2HbXPN27cOKe3t9ds/8Mf/uAAcO6++26z7cwzz3QAOF/+8pdd53j00UcdAM5NN93k2n7vvfe6tt95550OAOc///nPiG19K+3ZfffdnY6ODqenp8dse+aZZxy/3+98+MMfNtvsd9T69eu
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"img = cv.imread('img/1.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"img = cv.medianBlur(img,5)\n",
|
|||
|
|
"ret,th1 = cv.threshold(img,127,255,cv.THRESH_BINARY)\n",
|
|||
|
|
"th2 = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C,\\\n",
|
|||
|
|
" cv.THRESH_BINARY,11,2)\n",
|
|||
|
|
"th3 = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C,\\\n",
|
|||
|
|
" cv.THRESH_BINARY,11,2)\n",
|
|||
|
|
"titles = ['Original Image', 'Global Thresholding (v = 127)',\n",
|
|||
|
|
" 'Adaptive Mean Thresholding', 'Adaptive Gaussian Thresholding']\n",
|
|||
|
|
"images = [img, th1, th2, th3]\n",
|
|||
|
|
"for i in range(4):\n",
|
|||
|
|
" plt.subplot(2,2,i+1),plt.imshow(images[i],'gray')\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.xticks([]),plt.yticks([])\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 35,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 9 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img = cv.imread('img/noisy2.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"# global thresholding\n",
|
|||
|
|
"ret1,th1 = cv.threshold(img,127,255,cv.THRESH_BINARY)\n",
|
|||
|
|
"# Otsu's thresholding\n",
|
|||
|
|
"ret2,th2 = cv.threshold(img,0,255,cv.THRESH_BINARY+cv.THRESH_OTSU)\n",
|
|||
|
|
"# Otsu's thresholding after Gaussian filtering\n",
|
|||
|
|
"blur = cv.GaussianBlur(img,(5,5),0)\n",
|
|||
|
|
"ret3,th3 = cv.threshold(blur,0,255,cv.THRESH_BINARY+cv.THRESH_OTSU)\n",
|
|||
|
|
"# plot all the images and their histograms\n",
|
|||
|
|
"images = [img, 0, th1,\n",
|
|||
|
|
" img, 0, th2,\n",
|
|||
|
|
" blur, 0, th3]\n",
|
|||
|
|
"titles = ['Original Noisy Image','Histogram','Global Thresholding (v=127)',\n",
|
|||
|
|
" 'Original Noisy Image','Histogram',\"Otsu's Thresholding\",\n",
|
|||
|
|
" 'Gaussian filtered Image','Histogram',\"Otsu's Thresholding\"]\n",
|
|||
|
|
"for i in range(3):\n",
|
|||
|
|
" plt.subplot(3,3,i*3+1),plt.imshow(images[i*3],'gray')\n",
|
|||
|
|
" plt.title(titles[i*3]), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
" plt.subplot(3,3,i*3+2),plt.hist(images[i*3].ravel(),256)\n",
|
|||
|
|
" plt.title(titles[i*3+1]), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
" plt.subplot(3,3,i*3+3),plt.imshow(images[i*3+2],'gray')\n",
|
|||
|
|
" plt.title(titles[i*3+2]), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 36,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"118 118.0\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"\n",
|
|||
|
|
"blur = cv.GaussianBlur(img,(5,5),0)\n",
|
|||
|
|
"# find normalized_histogram, and its cumulative distribution function\n",
|
|||
|
|
"hist = cv.calcHist([blur],[0],None,[256],[0,256])\n",
|
|||
|
|
"hist_norm = hist.ravel()/hist.sum()\n",
|
|||
|
|
"Q = hist_norm.cumsum()\n",
|
|||
|
|
"bins = np.arange(256)\n",
|
|||
|
|
"fn_min = np.inf\n",
|
|||
|
|
"thresh = -1\n",
|
|||
|
|
"for i in range(1,256):\n",
|
|||
|
|
" p1,p2 = np.hsplit(hist_norm,[i]) # probabilities\n",
|
|||
|
|
" q1,q2 = Q[i],Q[255]-Q[i] # cum sum of classes\n",
|
|||
|
|
" if q1 < 1.e-6 or q2 < 1.e-6:\n",
|
|||
|
|
" continue\n",
|
|||
|
|
" b1,b2 = np.hsplit(bins,[i]) # weights\n",
|
|||
|
|
" # finding means and variances\n",
|
|||
|
|
" m1,m2 = np.sum(p1*b1)/q1, np.sum(p2*b2)/q2\n",
|
|||
|
|
" v1,v2 = np.sum(((b1-m1)**2)*p1)/q1,np.sum(((b2-m2)**2)*p2)/q2\n",
|
|||
|
|
" # calculates the minimization function\n",
|
|||
|
|
" fn = v1*q1 + v2*q2\n",
|
|||
|
|
" if fn < fn_min:\n",
|
|||
|
|
" fn_min = fn\n",
|
|||
|
|
" thresh = i\n",
|
|||
|
|
"# find otsu's threshold value with OpenCV function\n",
|
|||
|
|
"ret, otsu = cv.threshold(blur,0,255,cv.THRESH_BINARY+cv.THRESH_OTSU)\n",
|
|||
|
|
"print( \"{} {}\".format(thresh,ret) )"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 44,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
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|
|
"text/plain": [
|
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"((array([[[178, 224]]], dtype=int32),\n",
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" array([[[ 58, 224]]], dtype=int32),\n",
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" array([[[ 47, 224]]], dtype=int32),\n",
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" array([[[176, 223]]], dtype=int32),\n",
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" array([[[ 83, 223]]], dtype=int32),\n",
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" array([[[ 74, 223]]], dtype=int32),\n",
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" [[209, 222]]], dtype=int32),\n",
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" array([[[191, 222]]], dtype=int32),\n",
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" [[188, 223]]], dtype=int32),\n",
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" array([[[ 61, 222]],\n",
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" \n",
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" [[ 61, 224]]], dtype=int32),\n",
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" [[178, 222]],\n",
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" [[179, 221]]], dtype=int32),\n",
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" array([[[180, 222]],\n",
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" [[181, 221]],\n",
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" [[181, 223]]], dtype=int32),\n",
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" array([[[ 86, 221]],\n",
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" \n",
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" [[ 85, 222]]], dtype=int32),\n",
|
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" array([[[176, 220]]], dtype=int32),\n",
|
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" array([[[ 94, 220]]], dtype=int32),\n",
|
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|
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" array([[[ 66, 220]]], dtype=int32),\n",
|
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|
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" array([[[ 48, 220]]], dtype=int32),\n",
|
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" array([[[ 60, 219]]], dtype=int32),\n",
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" array([[[ 55, 219]],\n",
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" \n",
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" [[ 55, 220]],\n",
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" [[ 56, 221]],\n",
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" \n",
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" [[ 56, 222]],\n",
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" \n",
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" [[ 56, 221]],\n",
|
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" \n",
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" [[ 55, 220]]], dtype=int32),\n",
|
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" array([[[212, 218]],\n",
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" \n",
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" [[211, 219]],\n",
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" [[211, 220]],\n",
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" [[211, 219]],\n",
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" \n",
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" [[212, 218]],\n",
|
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|
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" \n",
|
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|
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" [[213, 218]]], dtype=int32),\n",
|
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|
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" array([[[ 87, 218]]], dtype=int32),\n",
|
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|
|
" array([[[ 69, 218]]], dtype=int32),\n",
|
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|
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" array([[[179, 217]],\n",
|
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" \n",
|
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" [[180, 218]],\n",
|
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" \n",
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" [[180, 219]],\n",
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|
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" [[182, 219]],\n",
|
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" \n",
|
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" [[182, 218]],\n",
|
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" \n",
|
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" [[181, 219]]], dtype=int32),\n",
|
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|
|
" array([[[ 54, 217]]], dtype=int32),\n",
|
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" array([[[211, 216]]], dtype=int32),\n",
|
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" array([[[182, 216]]], dtype=int32),\n",
|
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|
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" array([[[213, 215]]], dtype=int32),\n",
|
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|
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" array([[[176, 215]]], dtype=int32),\n",
|
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|
|
" array([[[ 69, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
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" [[ 69, 216]]], dtype=int32),\n",
|
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|
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" array([[[ 29, 213]]], dtype=int32),\n",
|
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|
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" array([[[214, 212]]], dtype=int32),\n",
|
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|
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" array([[[169, 210]]], dtype=int32),\n",
|
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|
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" array([[[216, 209]],\n",
|
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" \n",
|
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" [[216, 210]]], dtype=int32),\n",
|
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" array([[[ 91, 209]]], dtype=int32),\n",
|
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|
|
" array([[[ 68, 209]],\n",
|
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" \n",
|
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" [[ 68, 210]],\n",
|
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" \n",
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" [[ 69, 210]],\n",
|
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" \n",
|
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" [[ 71, 212]]], dtype=int32),\n",
|
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|
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" array([[[ 94, 208]],\n",
|
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" \n",
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" [[ 93, 209]],\n",
|
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" \n",
|
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|
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" [[ 93, 210]],\n",
|
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|
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" \n",
|
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" [[ 92, 211]],\n",
|
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" \n",
|
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" [[ 91, 211]],\n",
|
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" \n",
|
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" [[ 92, 211]],\n",
|
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|
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" \n",
|
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|
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" [[ 93, 210]],\n",
|
|||
|
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" \n",
|
|||
|
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" [[ 93, 209]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 71, 206]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 29, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 29, 210]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 97, 205]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 94, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
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" [[ 93, 206]],\n",
|
|||
|
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" \n",
|
|||
|
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" [[ 95, 206]],\n",
|
|||
|
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" \n",
|
|||
|
|
" [[ 96, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 75, 204]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 64, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 208]],\n",
|
|||
|
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" \n",
|
|||
|
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" [[ 67, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 65, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 208]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 62, 202]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 203]]], dtype=int32),\n",
|
|||
|
|
" array([[[217, 199]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 65, 199]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 98, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 198]]], dtype=int32),\n",
|
|||
|
|
" array([[[216, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 69, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[211, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 84, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 81, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[204, 194]]], dtype=int32),\n",
|
|||
|
|
" array([[[212, 192]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 191]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 63, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 191]]], dtype=int32),\n",
|
|||
|
|
" array([[[221, 189]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 45, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 45, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 44, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 45, 191]]], dtype=int32),\n",
|
|||
|
|
" array([[[214, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 189]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 85, 188]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 63, 187]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 46, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 46, 187]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 183]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 183]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 64, 183]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 66, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 182]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 30, 181]]], dtype=int32),\n",
|
|||
|
|
" array([[[109, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 180]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 55, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 181]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 43, 179]]], dtype=int32),\n",
|
|||
|
|
" array([[[107, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 179]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 0, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 0, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 1, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 1, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 3, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 3, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 4, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 4, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 4, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 4, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 224]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 13, 224]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 13, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 12, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 12, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 11, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 12, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 11, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 11, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 10, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 10, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 9, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 10, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 10, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 9, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 10, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 10, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 9, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 9, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 8, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 9, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 8, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 5, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 4, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 3, 178]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 5, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 7, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 6, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 66, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 79, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 79, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 179]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 71, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 191]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 69, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 69, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 184]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 64, 177]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 2, 176]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 0, 176]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 175]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 46, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 46, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 45, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 46, 177]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 66, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 174]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 56, 174]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 33, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 33, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 31, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 31, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 31, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 33, 174]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 61, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 61, 172]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 58, 170]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 34, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 34, 171]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 50, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 53, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 53, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 54, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 53, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 53, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 169]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 166]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 32, 166]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 34, 163]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 163]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 61, 162]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 54, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 54, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 60, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 61, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 62, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 62, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 61, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 60, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 60, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 54, 162]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 53, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 61, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 61, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 60, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 61, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 62, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 61, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 40, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 40, 160]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 34, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 33, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 33, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 32, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 32, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 32, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 33, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 33, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 34, 158]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 60, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 54, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 51, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 158]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 37, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 37, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 35, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 37, 153]]], dtype=int32),\n",
|
|||
|
|
" array([[[102, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 152]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 60, 151]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 151]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 62, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 62, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 62, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 63, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 37, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 34, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 34, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 35, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 60, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 60, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 42, 148]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 37, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 36, 147]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 46, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 45, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 46, 146]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 65, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 145]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 71, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 142]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 53, 141]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 49, 141]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 43, 141]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 36, 140]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 69, 139]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 50, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 72, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 38, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 37, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 38, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 55, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 57, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 57, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 139]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 57, 135]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 53, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 53, 136]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 75, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 135]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 55, 134]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 32, 134]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 44, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 44, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 43, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 44, 134]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 48, 132]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 41, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 40, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 39, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 38, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 36, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 34, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 35, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 37, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 38, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 41, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 42, 132]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 38, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 38, 131]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 75, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 79, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 79, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 78, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 77, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 75, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 54, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 54, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 54, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 54, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 57, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 57, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 129]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 42, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 41, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 41, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 43, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 46, 127]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 39, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 38, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 37, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 36, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 37, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 39, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 74, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 127]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 69, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 56, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 38, 125]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 73, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 58, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 56, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 59, 121]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 92, 120]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 70, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 71, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 70, 122]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 34, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 35, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 34, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 35, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 34, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 35, 121]]], dtype=int32),\n",
|
|||
|
|
" array([[[105, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 72, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 72, 120]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 42, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 118]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 118]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 118]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 116]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 70, 116]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 72, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 115]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 68, 114]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 73, 113]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 35, 113]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 0, 111]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 9, 109]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 76, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 76, 110]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 50, 106]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 49, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 106]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 106]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 69, 105]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 56, 105]]], dtype=int32),\n",
|
|||
|
|
" array([[[181, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 55, 103]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 44, 103]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 41, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 40, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 66, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 101]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 52, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 104]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 53, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 102]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 101]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 96, 100]]], dtype=int32),\n",
|
|||
|
|
" array([[[99, 98]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 63, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 64, 99]]], dtype=int32),\n",
|
|||
|
|
" array([[[48, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[48, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[51, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 98]]], dtype=int32),\n",
|
|||
|
|
" array([[[99, 96]]], dtype=int32),\n",
|
|||
|
|
" array([[[50, 96]]], dtype=int32),\n",
|
|||
|
|
" array([[[49, 94]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 4, 94]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 1, 94]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 1, 92]]], dtype=int32),\n",
|
|||
|
|
" array([[[115, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 90]]], dtype=int32),\n",
|
|||
|
|
" array([[[47, 90]]], dtype=int32),\n",
|
|||
|
|
" array([[[42, 90]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 88]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 89]]], dtype=int32),\n",
|
|||
|
|
" array([[[97, 88]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 86]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 2, 85]]], dtype=int32),\n",
|
|||
|
|
" array([[[107, 83]]], dtype=int32),\n",
|
|||
|
|
" array([[[91, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 83]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[96, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 82]]], dtype=int32),\n",
|
|||
|
|
" array([[[67, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[40, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 80]]], dtype=int32),\n",
|
|||
|
|
" array([[[69, 80]]], dtype=int32),\n",
|
|||
|
|
" array([[[67, 78]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 3, 77]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 99, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 77]]], dtype=int32),\n",
|
|||
|
|
" array([[[97, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 77]]], dtype=int32),\n",
|
|||
|
|
" array([[[46, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[44, 73]]], dtype=int32),\n",
|
|||
|
|
" array([[[67, 66]]], dtype=int32),\n",
|
|||
|
|
" array([[[76, 63]]], dtype=int32),\n",
|
|||
|
|
" array([[[48, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[47, 64]]], dtype=int32),\n",
|
|||
|
|
" array([[[36, 63]]], dtype=int32),\n",
|
|||
|
|
" array([[[68, 62]]], dtype=int32),\n",
|
|||
|
|
" array([[[63, 62]]], dtype=int32),\n",
|
|||
|
|
" array([[[38, 62]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 63]]], dtype=int32),\n",
|
|||
|
|
" array([[[36, 61]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 3, 61]]], dtype=int32),\n",
|
|||
|
|
" array([[[38, 60]]], dtype=int32),\n",
|
|||
|
|
" array([[[68, 59]]], dtype=int32),\n",
|
|||
|
|
" array([[[43, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[42, 60]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 58]]], dtype=int32),\n",
|
|||
|
|
" array([[[50, 58]]], dtype=int32),\n",
|
|||
|
|
" array([[[66, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[66, 58]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 56]]], dtype=int32),\n",
|
|||
|
|
" array([[[52, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[51, 56]]], dtype=int32),\n",
|
|||
|
|
" array([[[48, 54]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 54]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 55]]], dtype=int32),\n",
|
|||
|
|
" array([[[69, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 53]]], dtype=int32),\n",
|
|||
|
|
" array([[[61, 51]]], dtype=int32),\n",
|
|||
|
|
" array([[[50, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 52]]], dtype=int32),\n",
|
|||
|
|
" array([[[70, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[68, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[66, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[66, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[50, 49]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 48]]], dtype=int32),\n",
|
|||
|
|
" array([[[47, 48]]], dtype=int32),\n",
|
|||
|
|
" array([[[68, 47]]], dtype=int32),\n",
|
|||
|
|
" array([[[65, 47]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[54, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[65, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 45]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 42]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 42]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[68, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 0, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[69, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[62, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[56, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[54, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[54, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[55, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[55, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[54, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[52, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[52, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[49, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[70, 35]]], dtype=int32),\n",
|
|||
|
|
" array([[[144, 33]]], dtype=int32),\n",
|
|||
|
|
" array([[[140, 33]]], dtype=int32),\n",
|
|||
|
|
" array([[[131, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[74, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 34]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[137, 31]]], dtype=int32),\n",
|
|||
|
|
" array([[[40, 31]]], dtype=int32),\n",
|
|||
|
|
" array([[[144, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[73, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[56, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[56, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[56, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[53, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[53, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[51, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[49, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[46, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 28]]], dtype=int32),\n",
|
|||
|
|
" array([[[42, 28]]], dtype=int32),\n",
|
|||
|
|
" array([[[46, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[47, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[134, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[58, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[55, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[55, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[53, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[50, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[50, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[141, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[48, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[39, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[138, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[35, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[200, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[141, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[47, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[138, 20]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 20]]], dtype=int32),\n",
|
|||
|
|
" array([[[202, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[44, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[144, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[198, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[48, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[47, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[33, 16]]], dtype=int32),\n",
|
|||
|
|
" array([[[35, 15]]], dtype=int32),\n",
|
|||
|
|
" array([[[40, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[194, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 11]]], dtype=int32),\n",
|
|||
|
|
" array([[[137, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[140, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[203, 7]]], dtype=int32),\n",
|
|||
|
|
" array([[[139, 7]]], dtype=int32),\n",
|
|||
|
|
" array([[[47, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[45, 9]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 7]]], dtype=int32),\n",
|
|||
|
|
" array([[[51, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[52, 7]]], dtype=int32),\n",
|
|||
|
|
" array([[[138, 5]]], dtype=int32),\n",
|
|||
|
|
" array([[[53, 5]]], dtype=int32),\n",
|
|||
|
|
" array([[[210, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 3]]], dtype=int32),\n",
|
|||
|
|
" array([[[207, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 4]]], dtype=int32),\n",
|
|||
|
|
" array([[[200, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 3]]], dtype=int32),\n",
|
|||
|
|
" array([[[136, 3]]], dtype=int32),\n",
|
|||
|
|
" array([[[50, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[49, 3]]], dtype=int32),\n",
|
|||
|
|
" array([[[38, 2]]], dtype=int32),\n",
|
|||
|
|
" array([[[195, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 2]]], dtype=int32),\n",
|
|||
|
|
" array([[[191, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 3]]], dtype=int32),\n",
|
|||
|
|
" array([[[45, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[46, 1]]], dtype=int32),\n",
|
|||
|
|
" array([[[214, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[210, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[210, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[210, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[224, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[224, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 0]]], dtype=int32),\n",
|
|||
|
|
" array([[[204, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[210, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 7]]], dtype=int32),\n",
|
|||
|
|
" array([[[214, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 6]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 6]]], dtype=int32),\n",
|
|||
|
|
" array([[[216, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[219, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 2]]], dtype=int32),\n",
|
|||
|
|
" array([[[213, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 2]]], dtype=int32),\n",
|
|||
|
|
" array([[[209, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[210, 1]]], dtype=int32),\n",
|
|||
|
|
" array([[[203, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 3]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 2]]], dtype=int32),\n",
|
|||
|
|
" array([[[193, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 3]]], dtype=int32),\n",
|
|||
|
|
" array([[[137, 0]]], dtype=int32),\n",
|
|||
|
|
" array([[[131, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 5]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 4]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 1]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 0]]], dtype=int32),\n",
|
|||
|
|
" array([[[55, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[55, 1]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[54, 2]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" ...,\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 0]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[56, 1]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 224]]], dtype=int32),\n",
|
|||
|
|
" array([[[122, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 224]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 224]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 224]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 96, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 224]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 94, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 95, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 96, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 95, 224]]], dtype=int32),\n",
|
|||
|
|
" array([[[116, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[102, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 97, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 95, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 96, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 96, 223]]], dtype=int32),\n",
|
|||
|
|
" array([[[132, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 222]]], dtype=int32),\n",
|
|||
|
|
" array([[[115, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 222]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 222]]], dtype=int32),\n",
|
|||
|
|
" array([[[107, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 222]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 96, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 222]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 221]]], dtype=int32),\n",
|
|||
|
|
" array([[[104, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 222]]], dtype=int32),\n",
|
|||
|
|
" array([[[134, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 220]]], dtype=int32),\n",
|
|||
|
|
" array([[[102, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 220]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 220]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 219]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 219]]], dtype=int32),\n",
|
|||
|
|
" array([[[122, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 218]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 218]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 218]]], dtype=int32),\n",
|
|||
|
|
" array([[[109, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 219]]], dtype=int32),\n",
|
|||
|
|
" array([[[105, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 218]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 97, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 218]]], dtype=int32),\n",
|
|||
|
|
" array([[[139, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 217]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 217]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 217]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 217]]], dtype=int32),\n",
|
|||
|
|
" array([[[103, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 218]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 217]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 219]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 220]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 222]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 223]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 221]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 218]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 96, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 217]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 216]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 217]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 216]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 216]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 98, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 216]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 215]]], dtype=int32),\n",
|
|||
|
|
" array([[[115, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 215]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 215]]], dtype=int32),\n",
|
|||
|
|
" array([[[103, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 215]]], dtype=int32),\n",
|
|||
|
|
" array([[[129, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 215]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 214]]], dtype=int32),\n",
|
|||
|
|
" array([[[124, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 213]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 213]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 213]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 99, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 213]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 212]]], dtype=int32),\n",
|
|||
|
|
" array([[[104, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 213]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 214]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 213]]], dtype=int32),\n",
|
|||
|
|
" array([[[102, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 212]]], dtype=int32),\n",
|
|||
|
|
" array([[[125, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 212]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 211]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 211]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 211]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 211]]], dtype=int32),\n",
|
|||
|
|
" array([[[105, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 211]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 209]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 210]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 210]]], dtype=int32),\n",
|
|||
|
|
" array([[[131, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 209]]], dtype=int32),\n",
|
|||
|
|
" array([[[116, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 209]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 209]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 208]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 208]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 208]]], dtype=int32),\n",
|
|||
|
|
" array([[[134, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[124, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 207]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 208]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 207]]], dtype=int32),\n",
|
|||
|
|
" array([[[138, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 206]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 206]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 206]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 206]]], dtype=int32),\n",
|
|||
|
|
" array([[[135, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 205]]], dtype=int32),\n",
|
|||
|
|
" array([[[125, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 205]]], dtype=int32),\n",
|
|||
|
|
" array([[[122, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 205]]], dtype=int32),\n",
|
|||
|
|
" array([[[104, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 204]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 205]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 206]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 205]]], dtype=int32),\n",
|
|||
|
|
" array([[[189, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 204]]], dtype=int32),\n",
|
|||
|
|
" array([[[187, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 204]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 204]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 204]]], dtype=int32),\n",
|
|||
|
|
" array([[[119, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 203]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 203]]], dtype=int32),\n",
|
|||
|
|
" array([[[179, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 202]]], dtype=int32),\n",
|
|||
|
|
" array([[[134, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 202]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 203]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 202]]], dtype=int32),\n",
|
|||
|
|
" array([[[107, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 202]]], dtype=int32),\n",
|
|||
|
|
" array([[[188, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 201]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 201]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 201]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 201]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 201]]], dtype=int32),\n",
|
|||
|
|
" array([[[187, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 200]]], dtype=int32),\n",
|
|||
|
|
" array([[[182, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 200]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 200]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 200]]], dtype=int32),\n",
|
|||
|
|
" array([[[165, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 200]]], dtype=int32),\n",
|
|||
|
|
" array([[[186, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 199]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 199]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 199]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 201]]], dtype=int32),\n",
|
|||
|
|
" array([[[109, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 200]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 198]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 198]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 198]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[163, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[119, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[109, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 197]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 196]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 196]]], dtype=int32),\n",
|
|||
|
|
" array([[[186, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 194]]], dtype=int32),\n",
|
|||
|
|
" array([[[163, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 194]]], dtype=int32),\n",
|
|||
|
|
" array([[[116, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 194]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 194]]], dtype=int32),\n",
|
|||
|
|
" array([[[172, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 193]]], dtype=int32),\n",
|
|||
|
|
" array([[[166, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 193]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 193]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 195]]], dtype=int32),\n",
|
|||
|
|
" array([[[168, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 192]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 192]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 191]]], dtype=int32),\n",
|
|||
|
|
" array([[[109, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 191]]], dtype=int32),\n",
|
|||
|
|
" array([[[171, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[177, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 189]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 189]]], dtype=int32),\n",
|
|||
|
|
" array([[[165, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 188]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 188]]], dtype=int32),\n",
|
|||
|
|
" array([[[172, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 187]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 187]]], dtype=int32),\n",
|
|||
|
|
" array([[[164, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 186]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 186]]], dtype=int32),\n",
|
|||
|
|
" array([[[166, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 185]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 185]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 184]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 184]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 184]]], dtype=int32),\n",
|
|||
|
|
" array([[[119, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 182]]], dtype=int32),\n",
|
|||
|
|
" array([[[172, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 181]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 180]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 178]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 178]]], dtype=int32),\n",
|
|||
|
|
" array([[[171, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 177]]], dtype=int32),\n",
|
|||
|
|
" array([[[125, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 177]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 177]]], dtype=int32),\n",
|
|||
|
|
" array([[[172, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 176]]], dtype=int32),\n",
|
|||
|
|
" array([[[166, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 177]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 176]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 176]]], dtype=int32),\n",
|
|||
|
|
" array([[[125, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 174]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 175]]], dtype=int32),\n",
|
|||
|
|
" array([[[119, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 174]]], dtype=int32),\n",
|
|||
|
|
" array([[[115, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 175]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 173]]], dtype=int32),\n",
|
|||
|
|
" array([[[184, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 172]]], dtype=int32),\n",
|
|||
|
|
" array([[[115, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 172]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 172]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 171]]], dtype=int32),\n",
|
|||
|
|
" array([[[189, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 170]]], dtype=int32),\n",
|
|||
|
|
" array([[[187, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 170]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 170]]], dtype=int32),\n",
|
|||
|
|
" array([[[186, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 169]]], dtype=int32),\n",
|
|||
|
|
" array([[[173, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 169]]], dtype=int32),\n",
|
|||
|
|
" array([[[190, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 168]]], dtype=int32),\n",
|
|||
|
|
" array([[[172, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 167]]], dtype=int32),\n",
|
|||
|
|
" array([[[118, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 166]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 165]]], dtype=int32),\n",
|
|||
|
|
" array([[[190, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 191]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 183]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 180]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 176]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 166]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 164]]], dtype=int32),\n",
|
|||
|
|
" array([[[186, 190]]], dtype=int32),\n",
|
|||
|
|
" array([[[187, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 163]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 163]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 163]]], dtype=int32),\n",
|
|||
|
|
" array([[[192, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 162]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 162]]], dtype=int32),\n",
|
|||
|
|
" array([[[122, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 162]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 162]]], dtype=int32),\n",
|
|||
|
|
" array([[[188, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 161]]], dtype=int32),\n",
|
|||
|
|
" array([[[185, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 161]]], dtype=int32),\n",
|
|||
|
|
" array([[[177, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 161]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 161]]], dtype=int32),\n",
|
|||
|
|
" array([[[187, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 160]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 160]]], dtype=int32),\n",
|
|||
|
|
" array([[[133, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 160]]], dtype=int32),\n",
|
|||
|
|
" array([[[131, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 160]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 162]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[193, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[135, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[129, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[109, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 64, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 159]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 158]]], dtype=int32),\n",
|
|||
|
|
" array([[[195, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 158]]], dtype=int32),\n",
|
|||
|
|
" array([[[192, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 158]]], dtype=int32),\n",
|
|||
|
|
" array([[[190, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 157]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 157]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 68, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 69, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 68, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 67, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 65, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 66, 157]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 156]]], dtype=int32),\n",
|
|||
|
|
" array([[[165, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 156]]], dtype=int32),\n",
|
|||
|
|
" array([[[193, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 156]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 155]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 155]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 155]]], dtype=int32),\n",
|
|||
|
|
" array([[[195, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[191, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[187, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[167, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 154]]], dtype=int32),\n",
|
|||
|
|
" array([[[122, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 153]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[138, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[138, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 160]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 159]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 156]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 153]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 152]]], dtype=int32),\n",
|
|||
|
|
" array([[[194, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 152]]], dtype=int32),\n",
|
|||
|
|
" array([[[192, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 152]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 153]]], dtype=int32),\n",
|
|||
|
|
" array([[[141, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 151]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 152]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 151]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[189, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[182, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[179, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[124, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 150]]], dtype=int32),\n",
|
|||
|
|
" array([[[195, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[193, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[102, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 149]]], dtype=int32),\n",
|
|||
|
|
" array([[[188, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 148]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 148]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 72, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 74, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 73, 148]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 147]]], dtype=int32),\n",
|
|||
|
|
" array([[[192, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 147]]], dtype=int32),\n",
|
|||
|
|
" array([[[189, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 147]]], dtype=int32),\n",
|
|||
|
|
" array([[[194, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 146]]], dtype=int32),\n",
|
|||
|
|
" array([[[184, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 146]]], dtype=int32),\n",
|
|||
|
|
" array([[[142, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 146]]], dtype=int32),\n",
|
|||
|
|
" array([[[104, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 146]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 145]]], dtype=int32),\n",
|
|||
|
|
" array([[[189, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 145]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 145]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 144]]], dtype=int32),\n",
|
|||
|
|
" array([[[172, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 144]]], dtype=int32),\n",
|
|||
|
|
" array([[[105, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 144]]], dtype=int32),\n",
|
|||
|
|
" array([[[103, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 144]]], dtype=int32),\n",
|
|||
|
|
" array([[[145, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 143]]], dtype=int32),\n",
|
|||
|
|
" array([[[143, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 143]]], dtype=int32),\n",
|
|||
|
|
" array([[[198, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 143]]], dtype=int32),\n",
|
|||
|
|
" array([[[107, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 142]]], dtype=int32),\n",
|
|||
|
|
" array([[[195, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 141]]], dtype=int32),\n",
|
|||
|
|
" array([[[143, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 141]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 140]]], dtype=int32),\n",
|
|||
|
|
" array([[[146, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 140]]], dtype=int32),\n",
|
|||
|
|
" array([[[141, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 140]]], dtype=int32),\n",
|
|||
|
|
" array([[[194, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 139]]], dtype=int32),\n",
|
|||
|
|
" array([[[173, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 139]]], dtype=int32),\n",
|
|||
|
|
" array([[[140, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 139]]], dtype=int32),\n",
|
|||
|
|
" array([[[102, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 139]]], dtype=int32),\n",
|
|||
|
|
" array([[[145, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 143]]], dtype=int32),\n",
|
|||
|
|
" array([[[133, 140]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 141]]], dtype=int32),\n",
|
|||
|
|
" array([[[104, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 138]]], dtype=int32),\n",
|
|||
|
|
" array([[[201, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 137]]], dtype=int32),\n",
|
|||
|
|
" array([[[192, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 137]]], dtype=int32),\n",
|
|||
|
|
" array([[[190, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 137]]], dtype=int32),\n",
|
|||
|
|
" array([[[131, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 137]]], dtype=int32),\n",
|
|||
|
|
" array([[[129, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 137]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 137]]], dtype=int32),\n",
|
|||
|
|
" array([[[194, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 136]]], dtype=int32),\n",
|
|||
|
|
" array([[[182, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 136]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 136]]], dtype=int32),\n",
|
|||
|
|
" array([[[203, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 135]]], dtype=int32),\n",
|
|||
|
|
" array([[[194, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 134]]], dtype=int32),\n",
|
|||
|
|
" array([[[174, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 134]]], dtype=int32),\n",
|
|||
|
|
" array([[[198, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 133]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 133]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 132]]], dtype=int32),\n",
|
|||
|
|
" array([[[174, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 133]]], dtype=int32),\n",
|
|||
|
|
" array([[[129, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 132]]], dtype=int32),\n",
|
|||
|
|
" array([[[103, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 132]]], dtype=int32),\n",
|
|||
|
|
" array([[[200, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[200, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 131]]], dtype=int32),\n",
|
|||
|
|
" array([[[196, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 131]]], dtype=int32),\n",
|
|||
|
|
" array([[[191, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[184, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[144, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 130]]], dtype=int32),\n",
|
|||
|
|
" array([[[205, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 131]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 129]]], dtype=int32),\n",
|
|||
|
|
" array([[[202, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[181, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[144, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 127]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 128]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 127]]], dtype=int32),\n",
|
|||
|
|
" array([[[208, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[210, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[207, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[201, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[203, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[124, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 127]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 89, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 90, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 91, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 91, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 90, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 89, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[132, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 125]]], dtype=int32),\n",
|
|||
|
|
" array([[[207, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 124]]], dtype=int32),\n",
|
|||
|
|
" array([[[188, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 124]]], dtype=int32),\n",
|
|||
|
|
" array([[[142, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 124]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 124]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 90, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 91, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 92, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 92, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 91, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 90, 124]]], dtype=int32),\n",
|
|||
|
|
" array([[[208, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[210, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[177, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[119, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 123]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 122]]], dtype=int32),\n",
|
|||
|
|
" array([[[214, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 121]]], dtype=int32),\n",
|
|||
|
|
" array([[[206, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 121]]], dtype=int32),\n",
|
|||
|
|
" array([[[211, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 120]]], dtype=int32),\n",
|
|||
|
|
" array([[[183, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 120]]], dtype=int32),\n",
|
|||
|
|
" array([[[216, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[219, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[212, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[210, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[212, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[211, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[179, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 47, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 48, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 49, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 49, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 48, 119]]], dtype=int32),\n",
|
|||
|
|
" array([[[222, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 118]]], dtype=int32),\n",
|
|||
|
|
" array([[[200, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[202, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[201, 118]]], dtype=int32),\n",
|
|||
|
|
" array([[[218, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[219, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[219, 117]]], dtype=int32),\n",
|
|||
|
|
" array([[[216, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 117]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 49, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 50, 117]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 116]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 50, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 52, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 51, 116]]], dtype=int32),\n",
|
|||
|
|
" array([[[219, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 115]]], dtype=int32),\n",
|
|||
|
|
" array([[[215, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 115]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 95, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 96, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 114]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 96, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 95, 115]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 96, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 114]]], dtype=int32),\n",
|
|||
|
|
" array([[[220, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 113]]], dtype=int32),\n",
|
|||
|
|
" array([[[179, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 113]]], dtype=int32),\n",
|
|||
|
|
" array([[[181, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 112]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 97, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 113]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 112]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 54, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 56, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 55, 112]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 98, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 111]]], dtype=int32),\n",
|
|||
|
|
" array([[[220, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 110]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 110]]], dtype=int32),\n",
|
|||
|
|
" array([[[216, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 109]]], dtype=int32),\n",
|
|||
|
|
" array([[[222, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 106]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[224, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 108]]], dtype=int32),\n",
|
|||
|
|
" array([[[101, 106]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 108]]], dtype=int32),\n",
|
|||
|
|
" array([[[215, 106]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 105]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 105]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 106]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[217, 107]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[216, 107]]], dtype=int32),\n",
|
|||
|
|
" array([[[212, 105]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 104]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 105]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 106]]], dtype=int32),\n",
|
|||
|
|
" array([[[203, 104]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 104]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 105]]], dtype=int32),\n",
|
|||
|
|
" array([[[221, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[188, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[103, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 105]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 57, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 104]]], dtype=int32),\n",
|
|||
|
|
" array([[[185, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 105]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 104]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 103]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 58, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 60, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 103]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 57, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 59, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 58, 102]]], dtype=int32),\n",
|
|||
|
|
" array([[[221, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 101]]], dtype=int32),\n",
|
|||
|
|
" array([[[195, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[197, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[196, 101]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 101]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 100]]], dtype=int32),\n",
|
|||
|
|
" array([[[219, 96]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 96]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 97]]], dtype=int32),\n",
|
|||
|
|
" array([[[207, 96]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 96]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 97]]], dtype=int32),\n",
|
|||
|
|
" array([[[188, 94]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[189, 97]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 100]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 96]]], dtype=int32),\n",
|
|||
|
|
" array([[[73, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 94]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 96]]], dtype=int32),\n",
|
|||
|
|
" array([[[68, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 94]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 94]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 95]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 96]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 97]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 97]]], dtype=int32),\n",
|
|||
|
|
" array([[[70, 92]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 92]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 93]]], dtype=int32),\n",
|
|||
|
|
" array([[[62, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 92]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 91]]], dtype=int32),\n",
|
|||
|
|
" array([[[190, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 88]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[193, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 90]]], dtype=int32),\n",
|
|||
|
|
" array([[[189, 88]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 88]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[190, 89]]], dtype=int32),\n",
|
|||
|
|
" array([[[221, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 86]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 88]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 86]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 88]]], dtype=int32),\n",
|
|||
|
|
" array([[[77, 86]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 88]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 88]]], dtype=int32),\n",
|
|||
|
|
" array([[[121, 86]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 86]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 87]]], dtype=int32),\n",
|
|||
|
|
" array([[[222, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[224, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 86]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 86]]], dtype=int32),\n",
|
|||
|
|
" array([[[63, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 86]]], dtype=int32),\n",
|
|||
|
|
" array([[[61, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 86]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 85]]], dtype=int32),\n",
|
|||
|
|
" array([[[69, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 85]]], dtype=int32),\n",
|
|||
|
|
" array([[[59, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 85]]], dtype=int32),\n",
|
|||
|
|
" array([[[125, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 84]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 84]]], dtype=int32),\n",
|
|||
|
|
" array([[[79, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 84]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 84]]], dtype=int32),\n",
|
|||
|
|
" array([[[62, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 83]]], dtype=int32),\n",
|
|||
|
|
" array([[[126, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 82]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[79, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 81]]], dtype=int32),\n",
|
|||
|
|
" array([[[193, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[195, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[194, 80]]], dtype=int32),\n",
|
|||
|
|
" array([[[87, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 80]]], dtype=int32),\n",
|
|||
|
|
" array([[[78, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 80]]], dtype=int32),\n",
|
|||
|
|
" array([[[59, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 80]]], dtype=int32),\n",
|
|||
|
|
" array([[[207, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 79]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 79]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 79]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 79]]], dtype=int32),\n",
|
|||
|
|
" array([[[62, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 79]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 78]]], dtype=int32),\n",
|
|||
|
|
" array([[[81, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 78]]], dtype=int32),\n",
|
|||
|
|
" array([[[115, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 77]]], dtype=int32),\n",
|
|||
|
|
" array([[[76, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 77]]], dtype=int32),\n",
|
|||
|
|
" array([[[220, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 76]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 76]]], dtype=int32),\n",
|
|||
|
|
" array([[[205, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[207, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[197, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[199, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[198, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[173, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 82]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 92]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 93]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 92]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 86]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 87]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 93]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 94]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 99]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 101]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[162, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[162, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 137]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 151]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 164]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 178]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 179]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 194]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 195]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[162, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 198]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[162, 202]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 201]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 200]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 199]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 197]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 196]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 193]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 192]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 190]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 189]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 188]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 187]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 186]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 185]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 184]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 182]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 181]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 177]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 175]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 174]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 173]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[138, 172]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 171]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 170]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 169]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 168]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 167]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 165]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 163]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[137, 161]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 158]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[140, 157]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 155]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 154]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 153]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 150]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 149]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 148]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 147]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 146]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 145]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 144]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 143]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 142]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 141]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 139]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 138]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 136]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 133]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 135]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 134]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 130]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 129]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 127]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 126]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 124]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[145, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 123]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 115]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 116]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 118]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 122]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 119]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[142, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[141, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[139, 121]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[138, 120]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[138, 117]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 112]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[143, 111]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[144, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 110]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 109]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 108]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 103]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 102]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 98]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 97]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 93]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 92]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 91]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 90]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 89]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[146, 88]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 85]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[152, 84]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 83]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 81]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 80]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[162, 79]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 78]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 74]]], dtype=int32),\n",
|
|||
|
|
" array([[[150, 132]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 134]]], dtype=int32),\n",
|
|||
|
|
" array([[[151, 128]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 129]]], dtype=int32),\n",
|
|||
|
|
" array([[[149, 125]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 126]]], dtype=int32),\n",
|
|||
|
|
" array([[[145, 112]]], dtype=int32),\n",
|
|||
|
|
" array([[[151, 111]]], dtype=int32),\n",
|
|||
|
|
" array([[[152, 91]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 77]]], dtype=int32),\n",
|
|||
|
|
" array([[[89, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[78, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 76]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 75]]], dtype=int32),\n",
|
|||
|
|
" array([[[207, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[209, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[208, 74]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 74]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 74]]], dtype=int32),\n",
|
|||
|
|
" array([[[69, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 74]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 73]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 73]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 74]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 73]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 72]]], dtype=int32),\n",
|
|||
|
|
" array([[[94, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 72]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 72]]], dtype=int32),\n",
|
|||
|
|
" array([[[73, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 73]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 72]]], dtype=int32),\n",
|
|||
|
|
" array([[[59, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 72]]], dtype=int32),\n",
|
|||
|
|
" array([[[174, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 71]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 71]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 71]]], dtype=int32),\n",
|
|||
|
|
" array([[[91, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 70]]], dtype=int32),\n",
|
|||
|
|
" array([[[87, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 70]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 71]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 77]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 75]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 72]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 71]]], dtype=int32),\n",
|
|||
|
|
" array([[[74, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 70]]], dtype=int32),\n",
|
|||
|
|
" array([[[60, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 70]]], dtype=int32),\n",
|
|||
|
|
" array([[[81, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 69]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 70]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 69]]], dtype=int32),\n",
|
|||
|
|
" array([[[57, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 69]]], dtype=int32),\n",
|
|||
|
|
" array([[[89, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 68]]], dtype=int32),\n",
|
|||
|
|
" array([[[87, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 68]]], dtype=int32),\n",
|
|||
|
|
" array([[[59, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 68]]], dtype=int32),\n",
|
|||
|
|
" array([[[90, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 67]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 68]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 67]]], dtype=int32),\n",
|
|||
|
|
" array([[[58, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 67]]], dtype=int32),\n",
|
|||
|
|
" array([[[105, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 66]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 66]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 67]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 66]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 65]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 66]]], dtype=int32),\n",
|
|||
|
|
" array([[[217, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[219, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[218, 65]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 65]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 64]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 65]]], dtype=int32),\n",
|
|||
|
|
" array([[[219, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[221, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[220, 64]]], dtype=int32),\n",
|
|||
|
|
" array([[[203, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[206, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[205, 63]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[204, 63]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 63]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 62]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 63]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 60]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 62]]], dtype=int32),\n",
|
|||
|
|
" array([[[150, 60]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[152, 60]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 61]]], dtype=int32),\n",
|
|||
|
|
" array([[[87, 60]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 60]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 61]]], dtype=int32),\n",
|
|||
|
|
" array([[[156, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 60]]], dtype=int32),\n",
|
|||
|
|
" array([[[153, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 59]]], dtype=int32),\n",
|
|||
|
|
" array([[[89, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 59]]], dtype=int32),\n",
|
|||
|
|
" array([[[148, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 58]]], dtype=int32),\n",
|
|||
|
|
" array([[[77, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 57]]], dtype=int32),\n",
|
|||
|
|
" array([[[79, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 53]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 54]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 54]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 61]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 60]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 53]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 52]]], dtype=int32),\n",
|
|||
|
|
" array([[[76, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 53]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 51]]], dtype=int32),\n",
|
|||
|
|
" array([[[77, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 51]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 51]]], dtype=int32),\n",
|
|||
|
|
" array([[[212, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[215, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[214, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[213, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[74, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 50]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 49]]], dtype=int32),\n",
|
|||
|
|
" array([[[91, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 54]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 54]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 55]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 53]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 51]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 50]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 49]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 53]]], dtype=int32),\n",
|
|||
|
|
" array([[[89, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 49]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 49]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 48]]], dtype=int32),\n",
|
|||
|
|
" array([[[95, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 48]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 48]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 48]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 47]]], dtype=int32),\n",
|
|||
|
|
" array([[[147, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 47]]], dtype=int32),\n",
|
|||
|
|
" array([[[90, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 47]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[157, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[153, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[151, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[152, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[153, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[152, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[96, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[98, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[99, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[99, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[98, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 46]]], dtype=int32),\n",
|
|||
|
|
" array([[[170, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 45]]], dtype=int32),\n",
|
|||
|
|
" array([[[92, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 47]]], dtype=int32),\n",
|
|||
|
|
" array([[[179, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 44]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 44]]], dtype=int32),\n",
|
|||
|
|
" array([[[155, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 44]]], dtype=int32),\n",
|
|||
|
|
" array([[[93, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 44]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 45]]], dtype=int32),\n",
|
|||
|
|
" array([[[171, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 43]]], dtype=int32),\n",
|
|||
|
|
" array([[[148, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 43]]], dtype=int32),\n",
|
|||
|
|
" array([[[222, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[224, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 41]]], dtype=int32),\n",
|
|||
|
|
" array([[[90, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 41]]], dtype=int32),\n",
|
|||
|
|
" array([[[221, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[222, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[148, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[92, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[87, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 40]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 39]]], dtype=int32),\n",
|
|||
|
|
" array([[[177, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[174, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[93, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 38]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[171, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[149, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[150, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[147, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[222, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[224, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[223, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[185, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[182, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 37]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[166, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[146, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[90, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[84, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 35]]], dtype=int32),\n",
|
|||
|
|
" array([[[173, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 35]]], dtype=int32),\n",
|
|||
|
|
" array([[[92, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 35]]], dtype=int32),\n",
|
|||
|
|
" array([[[89, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 35]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 36]]], dtype=int32),\n",
|
|||
|
|
" array([[[183, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 34]]], dtype=int32),\n",
|
|||
|
|
" array([[[93, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 34]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 34]]], dtype=int32),\n",
|
|||
|
|
" array([[[190, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[192, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[191, 33]]], dtype=int32),\n",
|
|||
|
|
" array([[[181, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 33]]], dtype=int32),\n",
|
|||
|
|
" array([[[183, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[167, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[163, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[160, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[163, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 45]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[171, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 46]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 47]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[169, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[162, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[161, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 59]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 58]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 57]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 56]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 49]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 48]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 44]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 43]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 42]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 41]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 40]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 39]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 38]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 37]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 36]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 35]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 33]]], dtype=int32),\n",
|
|||
|
|
" array([[[160, 52]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[160, 53]]], dtype=int32),\n",
|
|||
|
|
" array([[[89, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 34]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 33]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[63, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[66, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 32]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 31]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 31]]], dtype=int32),\n",
|
|||
|
|
" array([[[154, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 31]]], dtype=int32),\n",
|
|||
|
|
" array([[[90, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 31]]], dtype=int32),\n",
|
|||
|
|
" array([[[147, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[92, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[78, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 32]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[62, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 30]]], dtype=int32),\n",
|
|||
|
|
" array([[[180, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[169, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[170, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[165, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[150, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[152, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[146, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[147, 29]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 28]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 28]]], dtype=int32),\n",
|
|||
|
|
" array([[[186, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[188, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[171, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[173, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[172, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[165, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[62, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 27]]], dtype=int32),\n",
|
|||
|
|
" array([[[182, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[166, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[168, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[163, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[164, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[185, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[187, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[186, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 26]]], dtype=int32),\n",
|
|||
|
|
" array([[[165, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[167, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[157, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[159, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[158, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[155, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[157, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[156, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[74, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[73, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 25]]], dtype=int32),\n",
|
|||
|
|
" array([[[66, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[67, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[67, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[66, 31]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 30]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[66, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[64, 24]]], dtype=int32),\n",
|
|||
|
|
" array([[[176, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[178, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 24]]], dtype=int32),\n",
|
|||
|
|
" array([[[153, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[155, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[154, 24]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 24]]], dtype=int32),\n",
|
|||
|
|
" array([[[178, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[179, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[175, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[177, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[176, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[150, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[152, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[151, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 24]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[78, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 26]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 27]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 29]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 28]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 25]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[73, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 24]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 23]]], dtype=int32),\n",
|
|||
|
|
" array([[[86, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[80, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[74, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[164, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[166, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[165, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[132, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[129, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[127, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 21]]], dtype=int32),\n",
|
|||
|
|
" array([[[69, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[70, 23]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 22]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 20]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[92, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[98, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[94, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[93, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[88, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[91, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[92, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[90, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[89, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[87, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[67, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[69, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[68, 22]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[65, 19]]], dtype=int32),\n",
|
|||
|
|
" array([[[181, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[185, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[182, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[147, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[149, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[148, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[132, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[136, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[128, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[130, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[116, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[113, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[83, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[79, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 19]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 17]]], dtype=int32),\n",
|
|||
|
|
" array([[[76, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[182, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[184, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[183, 16]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 16]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 16]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 16]]], dtype=int32),\n",
|
|||
|
|
" array([[[125, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[127, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[126, 15]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 15]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 15]]], dtype=int32),\n",
|
|||
|
|
" array([[[53, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[54, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[55, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[54, 15]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[123, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[120, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[111, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 13]]], dtype=int32),\n",
|
|||
|
|
" array([[[107, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[95, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[98, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[97, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[96, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[95, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[79, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[81, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[78, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[80, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[173, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[175, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[174, 13]]], dtype=int32),\n",
|
|||
|
|
" array([[[131, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[135, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[134, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[129, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[128, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 14]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[71, 13]]], dtype=int32),\n",
|
|||
|
|
" array([[[61, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[63, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[62, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 13]]], dtype=int32),\n",
|
|||
|
|
" array([[[60, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[61, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[60, 21]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[57, 20]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[55, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[56, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[56, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[58, 13]]], dtype=int32),\n",
|
|||
|
|
" array([[[59, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[59, 18]]], dtype=int32),\n",
|
|||
|
|
" array([[[123, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[125, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[124, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[117, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 98, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 97, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 98, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[77, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[79, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[76, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[116, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 11]]], dtype=int32),\n",
|
|||
|
|
" array([[[106, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 11]]], dtype=int32),\n",
|
|||
|
|
" array([[[85, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[88, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[87, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[86, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 12]]], dtype=int32),\n",
|
|||
|
|
" array([[[76, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[78, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 11]]], dtype=int32),\n",
|
|||
|
|
" array([[[74, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[75, 11]]], dtype=int32),\n",
|
|||
|
|
" array([[[72, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[74, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 11]]], dtype=int32),\n",
|
|||
|
|
" array([[[179, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[181, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[180, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[130, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[133, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[132, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[131, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[120, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[121, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[122, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[119, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[112, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[110, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[112, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[97, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[98, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[99, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[98, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[82, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[84, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[85, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[83, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[82, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[75, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[77, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[76, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[71, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[73, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[72, 10]]], dtype=int32),\n",
|
|||
|
|
" array([[[114, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[118, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[117, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[116, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[115, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[113, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[114, 9]]], dtype=int32),\n",
|
|||
|
|
" array([[[108, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[111, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[110, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[109, 9]]], dtype=int32),\n",
|
|||
|
|
" array([[[104, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 12]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[108, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[107, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[106, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[105, 18]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 17]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 16]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 15]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[103, 14]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 13]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[104, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 11]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 10]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 9]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 8]]], dtype=int32),\n",
|
|||
|
|
" array([[[100, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[102, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[101, 9]]], dtype=int32),\n",
|
|||
|
|
" array([[[ 98, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 7]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[100, 8]],\n",
|
|||
|
|
" \n",
|
|||
|
|
" [[ 99, 9]]], dtype=int32),\n",
|
|||
|
|
" ...),\n",
|
|||
|
|
" array([[[ 1, -1, -1, -1],\n",
|
|||
|
|
" [ 2, 0, -1, -1],\n",
|
|||
|
|
" [ 3, 1, -1, -1],\n",
|
|||
|
|
" ...,\n",
|
|||
|
|
" [1073, 1071, -1, 1042],\n",
|
|||
|
|
" [1074, 1072, -1, 1042],\n",
|
|||
|
|
" [ -1, 1073, -1, 1042]]], dtype=int32))"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 44,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"im = cv.imread('img/noisy2.png')\n",
|
|||
|
|
"assert im is not None, \"Файл не может быть прочитан, проверьте путь к файлу\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"imgray = cv.cvtColor(im, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"\n",
|
|||
|
|
"ret, thresh = cv.threshold(imgray, 127, 255, 0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)\n",
|
|||
|
|
"contours, hierarchy"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x600 with 3 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/1.jpg')\n",
|
|||
|
|
"assert img is not None, \"Файл не может быть прочитан, проверьте путь к файлу\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"imgray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"\n",
|
|||
|
|
"ret, thresh = cv.threshold(imgray, 127, 255, 0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"contours_none, hierarchy_none = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_NONE)\n",
|
|||
|
|
"contours_simple, hierarchy_simple = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_contours_none = img.copy()\n",
|
|||
|
|
"img_contours_simple = img.copy()\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Рисование всех контуров с использованием CHAIN_APPROX_NONE\n",
|
|||
|
|
"cv.drawContours(img_contours_none, contours_none, -1, (0, 255, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Рисование всех контуров с использованием CHAIN_APPROX_SIMPLE\n",
|
|||
|
|
"cv.drawContours(img_contours_simple, contours_simple, -1, (255, 0, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(12, 6))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(1, 3, 1)\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title('Original Image')\n",
|
|||
|
|
"plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(1, 3, 2)\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img_contours_none, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title('Contours with CHAIN_APPROX_NONE')\n",
|
|||
|
|
"plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(1, 3, 3)\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img_contours_simple, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title('Contours with CHAIN_APPROX_SIMPLE')\n",
|
|||
|
|
"plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Moments: {'m00': 11797.5, 'm10': 1766968.5, 'm01': 1763745.3333333333, 'm20': 279121361.25, 'm11': 264210289.2083333, 'm02': 278416334.75, 'm30': 46143593146.75, 'm21': 41742651757.23333, 'm12': 41712935229.5, 'm03': 46029175623.700005, 'mu20': 14473963.073076874, 'mu11': 45640.255419522524, 'mu02': 14733554.427464604, 'mu30': 2569485.2580947876, 'mu21': -114771.74751901627, 'mu12': -469217.5203065872, 'mu03': 102780.40350341797, 'nu20': 0.10399380966594265, 'nu11': 0.000327920142620197, 'nu02': 0.10585894458184811, 'nu30': 0.00016996956593210872, 'nu21': -7.592066950226938e-06, 'nu12': -3.103839494817175e-05, 'nu03': 6.7988483353884626e-06}\n",
|
|||
|
|
"Centroid: (149, 149)\n",
|
|||
|
|
"Contour Area: 11797.5\n",
|
|||
|
|
"Contour Perimeter: 753.1097289323807\n",
|
|||
|
|
"Is Convex: False\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stderr",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"C:\\Users\\leonk\\AppData\\Local\\Temp\\ipykernel_22924\\1496569930.py:72: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
|
|||
|
|
" lefty = int((-x * vy / vx) + y)\n",
|
|||
|
|
"C:\\Users\\leonk\\AppData\\Local\\Temp\\ipykernel_22924\\1496569930.py:73: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
|
|||
|
|
" righty = int(((cols - x) * vy / vx) + y)\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAGbCAYAAAAr/4yjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACK10lEQVR4nO2dd3xU1fLAv7ubQiih916kiQKiKKAiForos6BgwV6eWJ+KPstPxa6PZ1dUsDx7QVQsYAUbIEpHEFCkSK8hQEjd+f0xW+7dkuwm25Kc737mk9x6zq1zz5kzMw4REQwGg8FgAJzJroDBYDAYUgejFAwGg8HgwygFg8FgMPgwSsFgMBgMPoxSMBgMBoMPoxQMBoPB4MMoBYPBYDD4MErBYDAYDD6MUjAYDAaDD6MUDAaDweDDKIVqyurVq/nnP/9Jhw4dqFGjBtnZ2QwYMICnnnqKAwcOxK3c5cuXM27cONauXRu3MiqCw+EIKc2aNYtLeXl5eYwbN47vvvsuLvs3GKIlLdkVMCSezz//nLPPPpvMzEwuvPBCevToQWFhIT/99BO33HILy5YtY+LEiXEpe/ny5dx7770cd9xxtGvXLi5lVJSTTjqJCy+80DYvKysrLmXl5eVx7733AnDcccfFpQyDIRqMUqhmrFmzhnPOOYe2bdsyY8YMmjdv7lt2zTXX8Oeff/L5558nsYbxJT8/n4yMDJzO8I3kzp07M3r06ATWKvYUFxfjdrvJyMhIdlUMlQ0xVCuuuuoqAWTWrFkRrV9UVCT33XefdOjQQTIyMqRt27Zy++23S35+vm29tm3byvDhw+XHH3+UI444QjIzM6V9+/by2muv+dZ59dVXBQiSmTNn+tZ57rnnpHv37pKRkSHNmzeXq6++Wnbv3h1U1kUXXRRU14EDB8rAgQN90zNnzhRA3nnnHbnzzjulRYsW4nA4gvZnBZBrrrmm1HOyYcMGueSSS6RJkyaSkZEh3bt3l5dfftm2TkFBgdx1111y2GGHSXZ2ttSsWVOOPvpomTFjhm+dNWvWhDwf99xzT8jj8XLRRRdJ27Ztg/Yzfvx4eeKJJ6RDhw7idDpl4cKFIiLy+++/y4gRI6R+/fqSmZkpffr0kalTp9r2WVhYKOPGjZNOnTpJZmamNGjQQAYMGCBfffVVqefCUPUwLYVqxqeffkqHDh3o379/ROtffvnlvPbaa5x11lncfPPNzJ07l4cffpjff/+djz76yLbun3/+yVlnncVll13GRRddxCuvvMLFF19Mnz59OPjggzn22GO5/vrrefrpp7njjjvo1q0bgO/vuHHjuPfeeznxxBMZM2YMK1eu5Pnnn+fXX39l1qxZpKenl+uY77//fjIyMhg7diwFBQVlfj3n5+ezY8cO27w6deqQmZnJ1q1bOeqoo3A4HFx77bU0btyY6dOnc9lll5Gbm8u//vUvAHJzc3nppZc499xzueKKK9i7dy8vv/wyQ4YM4ZdffqFXr140btyY559/njFjxnDGGWdw5plnAnDooYeW6zhfffVV8vPzufLKK8nMzKRBgwYsW7aMAQMG0LJlS2677TZq1arF+++/z+mnn86UKVM444wzAD33Dz/8MJdffjl9+/YlNzeXefPmsWDBAk466aRy1cdQSUm2VjIkjj179gggp512WkTrL1q0SAC5/PLLbfPHjh0rgO2rt23btgLIDz/84Ju3bds2yczMlJtvvtk3b/LkyUGtA++6GRkZMnjwYCkpKfHNf/bZZwWQV155xVZWNC2FDh06SF5eXkTHTIgvd0BeffVVERG57LLLpHnz5rJjxw7bduecc47UrVvXV05xcbEUFBTY1tm9e7c0bdpULr30Ut+87du321oHpR2Pl3AthezsbNm2bZtt3RNOOEEOOeQQW8vO7XZL//795aCDDvLN69mzpwwfPrzUc2OoHpjRR9WI3NxcQL96I2HatGkA3HTTTbb5N998M0CQ7aF79+4cc8wxvunGjRvTpUsX/vrrrzLL+uabbygsLORf//qXrb//iiuuIDs7u0J2josuuigqQ/Fpp53G119/bZMhQ4YgIkyZMoVTTz0VEWHHjh0+GTJkCHv27GHBggUAuFwuX4vE7Xaza9cuiouLOfzww33rxJoRI0bQuHFj3/SuXbuYMWMGI0eOZO/evb667ty5kyFDhvDHH3+wceNGAOrVq8eyZcv4448/4lI3Q+XBdB9VI7KzswHYu3dvROuvW7cOp9NJp06dbPObNWtGvXr1WLdunW1+mzZtgvZRv359du/eHVFZAF26dLHNz8jIoEOHDkFlRUP79u2jWr9Vq1aceOKJQfO3bdtGTk4OEydODDs6a9u2bb7/X3vtNR577DFWrFhBUVFRuesTKYH7/fPPPxER7rrrLu66666w9W3ZsiX33Xcfp512Gp07d6ZHjx4MHTqUCy64oNxdWYbKi1EK1Yjs7GxatGjBb7/9FtV2DocjovVcLlfI+RLjjK/h6lNSUhKyDrEaTup2uwEYPXo0F110Uch1vC/RN998k4svvpjTTz+dW265hSZNmuByuXj44YdZvXp1ROU5HI6Q566kpCTk+oHH6a3v2LFjGTJkSMhtvAr/2GOPZfXq1UydOpWvvvqKl156iSeeeIIXXniByy+/PKL6GqoGRilUM0455RQmTpzInDlz6NevX6nrtm3bFrfbzR9//OEzBgNs3bqVnJwc2rZtG3X54V7o3n2tXLmSDh06+OYXFhayZs0a25d7/fr1ycnJCdrHunXrbNvGmsaNG1OnTh1KSkpCtiSsfPDBB3To0IEPP/zQdsz33HOPbb3SFG79+vVDdr1F2mrynov09PQy6wvQoEEDLrnkEi655BL27dvHsccey7hx44xSqGYYm0I149Zbb6VWrVpcfvnlbN26NWj56tWreeqppwA4+eSTAXjyySdt6zz++OMADB8+POrya9WqBRD0Uj/xxBPJyMjg6aeftn0dv/zyy+zZs8dWVseOHfn5558pLCz0zfvss8/4+++/o65PNLhcLkaMGMGUKVNCtra2b99uWxfsraS5c+cyZ84c2zY1a9YEgs8H6HGuWLHCtt/Fixcza9asiOrbpEkTjjvuOF588UU2b95can137txpW1a7dm06depEQUFBRGUZqg6mpVDN6NixI2+//TajRo2iW7duNo/m2bNnM3nyZC6++GIAevbsyUUXXcTEiRPJyclh4MCB/PLLL7z22mucfvrpDBo0KOrye/Xqhcvl4tFHH2XPnj1kZmZy/PHH06RJE26//Xbuvfdehg4dyj/+8Q9WrlzJhAkTOOKII2zOZJdffjkffPABQ4cOZeTIkaxevZo333yTjh07xuo0heWRRx5h5syZHHnkkVxxxRV0796dXbt2sWDBAr755ht27doFaIvsww8/5IwzzmD48OGsWbOGF154ge7du7Nv3z7f/rKysujevTvvvfcenTt3pkGDBvTo0YMePXpw6aWX8vjjjzNkyBAuu+wytm3bxgsvvMDBBx/sGzRQFs899xxHH300hxxyCFdccQUdOnRg69atzJkzhw0bNrB48WJABwkcd9xx9OnThwYNGjBv3jw++OADrr322tifRENqk8SRT4YksmrVKrniiiukXbt2kpGRIXXq1JEBAwbIM888Yxu+WFRUJPfee6+0b99e0tPTpXXr1qU6rwUSaljlpEmTpEOHDuJyuYKGpz777LPStWtXSU9Pl6ZNm8qYMWNCOps99thj0rJlS8nMzJQBAwbIvHnzwg5JnTx5csTnhQic17Zu3SrXXHONtG7dWtLT06VZs2ZywgknyMSJE33ruN1ueeihh6Rt27aSmZkpvXv3ls8++yxoOKmIyOzZs6VPnz6SkZERNDz1zTff9DkO9urVS7788stSnddCsXr1arnwwgulWbNmkp6eLi1btpRTTjlFPvjgA986DzzwgPTt21fq1asnWVlZ0rVrV3nwwQelsLAw4nNnqBo4RGJsBTQYDAZDpcXYFAwGg8HgwygFg8FgMPgwSsFgMBgMPoxSMBgMBoMPoxQMBoPB4MMoBYPBYDD4iNh5LdL4NwaDwWBITSL
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/star3.png')\n",
|
|||
|
|
"assert img is not None, \"Файл не может быть прочитан, проверьте путь к файлу\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"\n",
|
|||
|
|
"ret, thresh = cv.threshold(gray, 127, 255, 0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)\n",
|
|||
|
|
"cnt = contours[0] \n",
|
|||
|
|
"\n",
|
|||
|
|
"# 1. Моменты\n",
|
|||
|
|
"M = cv.moments(cnt)\n",
|
|||
|
|
"print(\"Moments:\", M)\n",
|
|||
|
|
"# Центроид\n",
|
|||
|
|
"cx = int(M['m10'] / M['m00'])\n",
|
|||
|
|
"cy = int(M['m01'] / M['m00'])\n",
|
|||
|
|
"print(\"Centroid:\", (cx, cy))\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 2. Площадь контура\n",
|
|||
|
|
"area = cv.contourArea(cnt)\n",
|
|||
|
|
"print(\"Contour Area:\", area)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 3. Периметр контура\n",
|
|||
|
|
"perimeter = cv.arcLength(cnt, True)\n",
|
|||
|
|
"print(\"Contour Perimeter:\", perimeter)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 4. Аппроксимация контура\n",
|
|||
|
|
"epsilon = 0.02 * cv.arcLength(cnt, True)\n",
|
|||
|
|
"approx = cv.approxPolyDP(cnt, epsilon, True)\n",
|
|||
|
|
"cv.drawContours(img, [approx], -1, (0, 255, 0), 3)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 5. Выпуклая оболочка\n",
|
|||
|
|
"hull = cv.convexHull(cnt)\n",
|
|||
|
|
"cv.drawContours(img, [hull], -1, (255, 0, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 6. Проверка выпуклости\n",
|
|||
|
|
"is_convex = cv.isContourConvex(cnt)\n",
|
|||
|
|
"print(\"Is Convex:\", is_convex)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 7a. Прямоугольник, не учитывающий вращение\n",
|
|||
|
|
"x, y, w, h = cv.boundingRect(cnt)\n",
|
|||
|
|
"cv.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 7b. Вращающийся прямоугольник\n",
|
|||
|
|
"rect = cv.minAreaRect(cnt)\n",
|
|||
|
|
"box = cv.boxPoints(rect)\n",
|
|||
|
|
"box = np.intp(box)\n",
|
|||
|
|
"cv.drawContours(img, [box], 0, (0, 0, 255), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 8. Минимальная окружность, охватывающая объект\n",
|
|||
|
|
"(x, y), radius = cv.minEnclosingCircle(cnt)\n",
|
|||
|
|
"center = (int(x), int(y))\n",
|
|||
|
|
"radius = int(radius)\n",
|
|||
|
|
"cv.circle(img, center, radius, (0, 255, 255), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 9. Аппроксимация эллипса\n",
|
|||
|
|
"if len(cnt) >= 5: \n",
|
|||
|
|
" ellipse = cv.fitEllipse(cnt)\n",
|
|||
|
|
" cv.ellipse(img, ellipse, (255, 0, 255), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 10. Аппроксимация линии\n",
|
|||
|
|
"rows, cols = img.shape[:2]\n",
|
|||
|
|
"[vx, vy, x, y] = cv.fitLine(cnt, cv.DIST_L2, 0, 0.01, 0.01)\n",
|
|||
|
|
"lefty = int((-x * vy / vx) + y)\n",
|
|||
|
|
"righty = int(((cols - x) * vy / vx) + y)\n",
|
|||
|
|
"cv.line(img, (cols - 1, righty), (0, lefty), (0, 255, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title('Contour Features')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Aspect Ratio: 0.9479166666666666\n",
|
|||
|
|
"Extent: 0.33761160714285715\n",
|
|||
|
|
"Solidity: 0.49613103999327135\n",
|
|||
|
|
"Equivalent Diameter: 122.56036687695205\n",
|
|||
|
|
"Orientation: Angle = 92.29457092285156\n",
|
|||
|
|
"Major Axis Length: 153.76748657226562\n",
|
|||
|
|
"Minor Axis Length: 160.86753845214844\n",
|
|||
|
|
"Pixel Points: [[ 54 180]\n",
|
|||
|
|
" [ 55 179]\n",
|
|||
|
|
" [ 55 180]\n",
|
|||
|
|
" ...\n",
|
|||
|
|
" [244 179]\n",
|
|||
|
|
" [244 180]\n",
|
|||
|
|
" [245 180]]\n",
|
|||
|
|
"Min Value: 255.0 at (180, 54)\n",
|
|||
|
|
"Max Value: 255.0 at (180, 54)\n",
|
|||
|
|
"Mean Intensity: 254.99999999999997\n",
|
|||
|
|
"Leftmost Point: (np.int32(69), np.int32(91))\n",
|
|||
|
|
"Rightmost Point: (np.int32(250), np.int32(150))\n",
|
|||
|
|
"Topmost Point: (np.int32(180), np.int32(54))\n",
|
|||
|
|
"Bottommost Point: (np.int32(180), np.int32(245))\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"ename": "NameError",
|
|||
|
|
"evalue": "name 'plt' is not defined",
|
|||
|
|
"output_type": "error",
|
|||
|
|
"traceback": [
|
|||
|
|
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
|||
|
|
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
|||
|
|
"Cell \u001b[1;32mIn[6], line 78\u001b[0m\n\u001b[0;32m 75\u001b[0m cv\u001b[38;5;241m.\u001b[39mdrawContours(img, [cnt], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, (\u001b[38;5;241m255\u001b[39m, \u001b[38;5;241m255\u001b[39m, \u001b[38;5;241m255\u001b[39m), \u001b[38;5;241m2\u001b[39m) \u001b[38;5;66;03m# Отрисовка контура звезды\u001b[39;00m\n\u001b[0;32m 77\u001b[0m \u001b[38;5;66;03m# Отображение результата\u001b[39;00m\n\u001b[1;32m---> 78\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241m.\u001b[39mimshow(cv\u001b[38;5;241m.\u001b[39mcvtColor(img, cv\u001b[38;5;241m.\u001b[39mCOLOR_BGR2RGB))\n\u001b[0;32m 79\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mContour props\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 80\u001b[0m plt\u001b[38;5;241m.\u001b[39maxis(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124moff\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
|
|||
|
|
"\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/star3.png')\n",
|
|||
|
|
"assert img is not None, \"Файл не может быть прочитан, проверьте путь к файлу\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"imgray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"\n",
|
|||
|
|
"ret, thresh = cv.threshold(imgray, 127, 255, 0)\n",
|
|||
|
|
"contours, hierarchy = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)\n",
|
|||
|
|
"cnt = contours[0] \n",
|
|||
|
|
"\n",
|
|||
|
|
"# 1. Aspect Ratio (Соотношение сторон)\n",
|
|||
|
|
"x, y, w, h = cv.boundingRect(cnt)\n",
|
|||
|
|
"aspect_ratio = float(w) / h\n",
|
|||
|
|
"print(\"Aspect Ratio:\", aspect_ratio)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 2. Extent (Протяжённость)\n",
|
|||
|
|
"area = cv.contourArea(cnt)\n",
|
|||
|
|
"rect_area = w * h\n",
|
|||
|
|
"extent = float(area) / rect_area\n",
|
|||
|
|
"print(\"Extent:\", extent)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 3. Solidity (Солидность)\n",
|
|||
|
|
"hull = cv.convexHull(cnt)\n",
|
|||
|
|
"hull_area = cv.contourArea(hull)\n",
|
|||
|
|
"solidity = float(area) / hull_area\n",
|
|||
|
|
"print(\"Solidity:\", solidity)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 4. Equivalent Diameter (Эквивалентный диаметр)\n",
|
|||
|
|
"equi_diameter = np.sqrt(4 * area / np.pi)\n",
|
|||
|
|
"print(\"Equivalent Diameter:\", equi_diameter)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 5. Orientation (Ориентация)\n",
|
|||
|
|
"if len(cnt) >= 5: \n",
|
|||
|
|
" (x, y), (MA, ma), angle = cv.fitEllipse(cnt)\n",
|
|||
|
|
" print(\"Orientation: Angle =\", angle)\n",
|
|||
|
|
" print(\"Major Axis Length:\", MA)\n",
|
|||
|
|
" print(\"Minor Axis Length:\", ma)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 6. Mask and Pixel Points (Маска и пиксельные точки)\n",
|
|||
|
|
"mask = np.zeros(imgray.shape, np.uint8)\n",
|
|||
|
|
"cv.drawContours(mask, [cnt], 0, 255, -1)\n",
|
|||
|
|
"pixelpoints = np.transpose(np.nonzero(mask))\n",
|
|||
|
|
"print(\"Pixel Points:\", pixelpoints)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 7. Min/Max Value and Locations (Минимум/максимум значений и их местоположения)\n",
|
|||
|
|
"min_val, max_val, min_loc, max_loc = cv.minMaxLoc(imgray, mask=mask)\n",
|
|||
|
|
"print(\"Min Value:\", min_val, \"at\", min_loc)\n",
|
|||
|
|
"print(\"Max Value:\", max_val, \"at\", max_loc)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# 8. Mean Intensity (Средняя интенсивность)\n",
|
|||
|
|
"mean_val = cv.mean(imgray, mask=mask)\n",
|
|||
|
|
"print(\"Mean Intensity:\", mean_val[0]) \n",
|
|||
|
|
"\n",
|
|||
|
|
"# 9. Extreme Points (Экстремальные точки)\n",
|
|||
|
|
"leftmost = tuple(cnt[cnt[:, :, 0].argmin()][0])\n",
|
|||
|
|
"rightmost = tuple(cnt[cnt[:, :, 0].argmax()][0])\n",
|
|||
|
|
"topmost = tuple(cnt[cnt[:, :, 1].argmin()][0])\n",
|
|||
|
|
"bottommost = tuple(cnt[cnt[:, :, 1].argmax()][0])\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(\"Leftmost Point:\", leftmost)\n",
|
|||
|
|
"print(\"Rightmost Point:\", rightmost)\n",
|
|||
|
|
"print(\"Topmost Point:\", topmost)\n",
|
|||
|
|
"print(\"Bottommost Point:\", bottommost)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.circle(img, leftmost, 5, (255, 0, 0), -1)\n",
|
|||
|
|
"cv.circle(img, rightmost, 5, (0, 255, 0), -1)\n",
|
|||
|
|
"cv.circle(img, topmost, 5, (0, 0, 255), -1)\n",
|
|||
|
|
"cv.circle(img, bottommost, 5, (255, 255, 0), -1)\n",
|
|||
|
|
"cv.drawContours(img, [cnt], -1, (255, 255, 255), 2) \n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title('Contour props')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 7,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img = cv.imread('img/star3.png')\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"img_gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"ret,thresh = cv.threshold(img_gray, 127, 255,0)\n",
|
|||
|
|
"contours,hierarchy = cv.findContours(thresh,2,1)\n",
|
|||
|
|
"cnt = contours[0]\n",
|
|||
|
|
"hull = cv.convexHull(cnt,returnPoints = False)\n",
|
|||
|
|
"defects = cv.convexityDefects(cnt,hull)\n",
|
|||
|
|
"for i in range(defects.shape[0]):\n",
|
|||
|
|
" s,e,f,d = defects[i,0]\n",
|
|||
|
|
" start = tuple(cnt[s][0])\n",
|
|||
|
|
" end = tuple(cnt[e][0])\n",
|
|||
|
|
" far = tuple(cnt[f][0])\n",
|
|||
|
|
" cv.line(img,start,end,[0,255,0],2)\n",
|
|||
|
|
" cv.circle(img,far,5,[0,0,255],-1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title('Contour more')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 11,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"2.3433042460955864\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"img1 = cv.imread('img/star.jpg',0)\n",
|
|||
|
|
"img2 = cv.imread('img/star3.png',0)\n",
|
|||
|
|
"ret, thresh = cv.threshold(img1, 127, 255,0)\n",
|
|||
|
|
"ret, thresh2 = cv.threshold(img2, 127, 255,0)\n",
|
|||
|
|
"contours,hierarchy = cv.findContours(thresh,2,1)\n",
|
|||
|
|
"cnt1 = contours[0]\n",
|
|||
|
|
"contours,hierarchy = cv.findContours(thresh2,2,1)\n",
|
|||
|
|
"cnt2 = contours[0]\n",
|
|||
|
|
"ret = cv.matchShapes(cnt1,cnt2,1,0.0)\n",
|
|||
|
|
"print( ret )"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"\n",
|
|||
|
|
"Mode: RETR_LIST\n",
|
|||
|
|
"Hierarchy:\n",
|
|||
|
|
" [[ 1 -1 -1 -1]\n",
|
|||
|
|
" [ 2 0 -1 -1]\n",
|
|||
|
|
" [ 3 1 -1 -1]\n",
|
|||
|
|
" [ 4 2 -1 -1]\n",
|
|||
|
|
" [ 5 3 -1 -1]\n",
|
|||
|
|
" [ 6 4 -1 -1]\n",
|
|||
|
|
" [ 7 5 -1 -1]\n",
|
|||
|
|
" [ 8 6 -1 -1]\n",
|
|||
|
|
" [-1 7 -1 -1]]\n",
|
|||
|
|
"Contour 0: Next=1, Previous=-1, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 1: Next=2, Previous=0, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 2: Next=3, Previous=1, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 3: Next=4, Previous=2, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 4: Next=5, Previous=3, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 5: Next=6, Previous=4, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 6: Next=7, Previous=5, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 7: Next=8, Previous=6, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 8: Next=-1, Previous=7, First_Child=-1, Parent=-1\n",
|
|||
|
|
"\n",
|
|||
|
|
"Mode: RETR_EXTERNAL\n",
|
|||
|
|
"Hierarchy:\n",
|
|||
|
|
" [[ 1 -1 -1 -1]\n",
|
|||
|
|
" [ 2 0 -1 -1]\n",
|
|||
|
|
" [ 3 1 -1 -1]\n",
|
|||
|
|
" [ 4 2 -1 -1]\n",
|
|||
|
|
" [ 5 3 -1 -1]\n",
|
|||
|
|
" [-1 4 -1 -1]]\n",
|
|||
|
|
"Contour 0: Next=1, Previous=-1, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 1: Next=2, Previous=0, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 2: Next=3, Previous=1, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 3: Next=4, Previous=2, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 4: Next=5, Previous=3, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 5: Next=-1, Previous=4, First_Child=-1, Parent=-1\n",
|
|||
|
|
"\n",
|
|||
|
|
"Mode: RETR_CCOMP\n",
|
|||
|
|
"Hierarchy:\n",
|
|||
|
|
" [[ 1 -1 -1 -1]\n",
|
|||
|
|
" [ 4 0 2 -1]\n",
|
|||
|
|
" [ 3 -1 -1 1]\n",
|
|||
|
|
" [-1 2 -1 1]\n",
|
|||
|
|
" [ 6 1 5 -1]\n",
|
|||
|
|
" [-1 -1 -1 4]\n",
|
|||
|
|
" [ 7 4 -1 -1]\n",
|
|||
|
|
" [ 8 6 -1 -1]\n",
|
|||
|
|
" [-1 7 -1 -1]]\n",
|
|||
|
|
"Contour 0: Next=1, Previous=-1, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 1: Next=4, Previous=0, First_Child=2, Parent=-1\n",
|
|||
|
|
"Contour 2: Next=3, Previous=-1, First_Child=-1, Parent=1\n",
|
|||
|
|
"Contour 3: Next=-1, Previous=2, First_Child=-1, Parent=1\n",
|
|||
|
|
"Contour 4: Next=6, Previous=1, First_Child=5, Parent=-1\n",
|
|||
|
|
"Contour 5: Next=-1, Previous=-1, First_Child=-1, Parent=4\n",
|
|||
|
|
"Contour 6: Next=7, Previous=4, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 7: Next=8, Previous=6, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 8: Next=-1, Previous=7, First_Child=-1, Parent=-1\n",
|
|||
|
|
"\n",
|
|||
|
|
"Mode: RETR_TREE\n",
|
|||
|
|
"Hierarchy:\n",
|
|||
|
|
" [[ 1 -1 -1 -1]\n",
|
|||
|
|
" [ 4 0 2 -1]\n",
|
|||
|
|
" [ 3 -1 -1 1]\n",
|
|||
|
|
" [-1 2 -1 1]\n",
|
|||
|
|
" [ 6 1 5 -1]\n",
|
|||
|
|
" [-1 -1 -1 4]\n",
|
|||
|
|
" [ 7 4 -1 -1]\n",
|
|||
|
|
" [ 8 6 -1 -1]\n",
|
|||
|
|
" [-1 7 -1 -1]]\n",
|
|||
|
|
"Contour 0: Next=1, Previous=-1, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 1: Next=4, Previous=0, First_Child=2, Parent=-1\n",
|
|||
|
|
"Contour 2: Next=3, Previous=-1, First_Child=-1, Parent=1\n",
|
|||
|
|
"Contour 3: Next=-1, Previous=2, First_Child=-1, Parent=1\n",
|
|||
|
|
"Contour 4: Next=6, Previous=1, First_Child=5, Parent=-1\n",
|
|||
|
|
"Contour 5: Next=-1, Previous=-1, First_Child=-1, Parent=4\n",
|
|||
|
|
"Contour 6: Next=7, Previous=4, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 7: Next=8, Previous=6, First_Child=-1, Parent=-1\n",
|
|||
|
|
"Contour 8: Next=-1, Previous=7, First_Child=-1, Parent=-1\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/star.jpg')\n",
|
|||
|
|
"assert img is not None, \"Файл не может быть прочитан, проверьте путь к файлу\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"ret, thresh = cv.threshold(gray, 127, 255, 0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"contour_modes = [cv.RETR_LIST, cv.RETR_EXTERNAL, cv.RETR_CCOMP, cv.RETR_TREE]\n",
|
|||
|
|
"mode_names = [\"RETR_LIST\", \"RETR_EXTERNAL\", \"RETR_CCOMP\", \"RETR_TREE\"]\n",
|
|||
|
|
"\n",
|
|||
|
|
"for mode, name in zip(contour_modes, mode_names):\n",
|
|||
|
|
" contours, hierarchy = cv.findContours(thresh, mode, cv.CHAIN_APPROX_SIMPLE)\n",
|
|||
|
|
" hierarchy = hierarchy[0] if hierarchy is not None else [] \n",
|
|||
|
|
" \n",
|
|||
|
|
" print(f\"\\nMode: {name}\")\n",
|
|||
|
|
" print(\"Hierarchy:\\n\", hierarchy)\n",
|
|||
|
|
"\n",
|
|||
|
|
" img_copy = img.copy()\n",
|
|||
|
|
" \n",
|
|||
|
|
" for i, cnt in enumerate(contours):\n",
|
|||
|
|
" color = (0, 255, 0) \n",
|
|||
|
|
" cv.drawContours(img_copy, contours, i, color, 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
" next_contour, prev_contour, first_child, parent = hierarchy[i]\n",
|
|||
|
|
" print(f\"Contour {i}: Next={next_contour}, Previous={prev_contour}, First_Child={first_child}, Parent={parent}\")\n",
|
|||
|
|
" \n",
|
|||
|
|
" x, y, w, h = cv.boundingRect(cnt)\n",
|
|||
|
|
" cv.putText(img_copy, str(i), (x + w // 2, y + h // 2), cv.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 1)\n",
|
|||
|
|
"\n",
|
|||
|
|
" cv.imshow(f'Contours - {name}', img_copy)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.waitKey(0)\n",
|
|||
|
|
"cv.destroyAllWindows()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 3"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 2,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img = cv.imread('sudoku.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"laplacian = cv.Laplacian(img,cv.CV_64F)\n",
|
|||
|
|
"sobelx = cv.Sobel(img,cv.CV_64F,1,0,ksize=5)\n",
|
|||
|
|
"sobely = cv.Sobel(img,cv.CV_64F,0,1,ksize=5)\n",
|
|||
|
|
"plt.subplot(2,2,1),plt.imshow(img,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Original'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.subplot(2,2,2),plt.imshow(laplacian,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Laplacian'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.subplot(2,2,3),plt.imshow(sobelx,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Sobel X'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.subplot(2,2,4),plt.imshow(sobely,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Sobel Y'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 5,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 3 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img = cv.imread('images/mishka.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"# Output dtype = cv.CV_8U\n",
|
|||
|
|
"sobelx8u = cv.Sobel(img,cv.CV_8U,1,0,ksize=5)\n",
|
|||
|
|
"# Output dtype = cv.CV_64F. Then take its absolute and convert to cv.CV_8U\n",
|
|||
|
|
"sobelx64f = cv.Sobel(img,cv.CV_64F,1,0,ksize=5)\n",
|
|||
|
|
"abs_sobel64f = np.absolute(sobelx64f)\n",
|
|||
|
|
"sobel_8u = np.uint8(abs_sobel64f)\n",
|
|||
|
|
"plt.subplot(1,3,1),plt.imshow(img,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Original'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.subplot(1,3,2),plt.imshow(sobelx8u,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Sobel CV_8U'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.subplot(1,3,3),plt.imshow(sobel_8u,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Sobel abs(CV_64F)'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 6,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img = cv.imread('images/mishka.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"edges = cv.Canny(img,100,200)\n",
|
|||
|
|
"plt.subplot(121),plt.imshow(img,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Original Image'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.subplot(122),plt.imshow(edges,cmap = 'gray')\n",
|
|||
|
|
"plt.title('Edge Image'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 4"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 11,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
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"text/plain": [
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"metadata": {},
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{
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"text/plain": [
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"<Figure size 640x480 with 2 Axes>"
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]
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},
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"metadata": {},
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{
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"data": {
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"text/plain": [
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"<Figure size 640x480 with 2 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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|
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"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 2 Axes>"
|
|||
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]
|
|||
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},
|
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|
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"metadata": {},
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|||
|
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"output_type": "display_data"
|
|||
|
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},
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|||
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{
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"data": {
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|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img = cv.imread(r'images/roi.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"img2 = img.copy()\n",
|
|||
|
|
"template = cv.imread('images/messi_face.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert template is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"w, h = template.shape[::-1]\n",
|
|||
|
|
"# All the 6 methods for comparison in a list\n",
|
|||
|
|
"methods = ['cv.TM_CCOEFF', 'cv.TM_CCOEFF_NORMED', 'cv.TM_CCORR',\n",
|
|||
|
|
" 'cv.TM_CCORR_NORMED', 'cv.TM_SQDIFF', 'cv.TM_SQDIFF_NORMED']\n",
|
|||
|
|
"for meth in methods:\n",
|
|||
|
|
" img = img2.copy()\n",
|
|||
|
|
" method = eval(meth)\n",
|
|||
|
|
" # Apply template Matching\n",
|
|||
|
|
" res = cv.matchTemplate(img,template,method)\n",
|
|||
|
|
" min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res)\n",
|
|||
|
|
" # If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum\n",
|
|||
|
|
" if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]:\n",
|
|||
|
|
" top_left = min_loc\n",
|
|||
|
|
" else:\n",
|
|||
|
|
" top_left = max_loc\n",
|
|||
|
|
" bottom_right = (top_left[0] + w, top_left[1] + h)\n",
|
|||
|
|
" cv.rectangle(img,top_left, bottom_right, 255, 2)\n",
|
|||
|
|
" plt.subplot(121),plt.imshow(res,cmap = 'gray')\n",
|
|||
|
|
" plt.title('Matching Result'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
" plt.subplot(122),plt.imshow(img,cmap = 'gray')\n",
|
|||
|
|
" plt.title('Detected Point'), plt.xticks([]), plt.yticks([])\n",
|
|||
|
|
" plt.suptitle(meth)\n",
|
|||
|
|
" plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 15,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"img_rgb = cv.imread('images/mario.jpg')\n",
|
|||
|
|
"assert img_rgb is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"img_gray = cv.cvtColor(img_rgb, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"template = cv.imread('images/mario_template.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert template is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"w, h = template.shape[::-1]\n",
|
|||
|
|
"res = cv.matchTemplate(img_gray,template,cv.TM_CCOEFF_NORMED)\n",
|
|||
|
|
"threshold = 0.8\n",
|
|||
|
|
"loc = np.where( res >= threshold)\n",
|
|||
|
|
"for pt in zip(*loc[::-1]):\n",
|
|||
|
|
" cv.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2)\n",
|
|||
|
|
"cv.imwrite('res.png',img_rgb)\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img_rgb, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 5"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x800 with 8 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/d9/d61/tutorial_py_morphological_ops.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/j.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"kernel = np.ones((5, 5), np.uint8)\n",
|
|||
|
|
"\n",
|
|||
|
|
"erosion = cv.erode(img, kernel, iterations=1)\n",
|
|||
|
|
"dilation = cv.dilate(img, kernel, iterations=1)\n",
|
|||
|
|
"opening = cv.morphologyEx(img, cv.MORPH_OPEN, kernel)\n",
|
|||
|
|
"closing = cv.morphologyEx(img, cv.MORPH_CLOSE, kernel)\n",
|
|||
|
|
"gradient = cv.morphologyEx(img, cv.MORPH_GRADIENT, kernel)\n",
|
|||
|
|
"tophat = cv.morphologyEx(img, cv.MORPH_TOPHAT, kernel)\n",
|
|||
|
|
"blackhat = cv.morphologyEx(img, cv.MORPH_BLACKHAT, kernel)\n",
|
|||
|
|
"\n",
|
|||
|
|
"titles = ['Original Image', 'Erosion', 'Dilation', 'Opening', 'Closing', 'Gradient', 'Top Hat', 'Black Hat']\n",
|
|||
|
|
"images = [img, erosion, dilation, opening, closing, gradient, tophat, blackhat]\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(12, 8))\n",
|
|||
|
|
"for i in range(len(images)):\n",
|
|||
|
|
" plt.subplot(2, 4, i+1)\n",
|
|||
|
|
" plt.imshow(images[i], cmap='gray')\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 7,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x800 with 6 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"src = cv.imread('img/notes.png', cv.IMREAD_COLOR)\n",
|
|||
|
|
"assert src is not None, \"Error opening image!\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"if len(src.shape) != 2:\n",
|
|||
|
|
" gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"else:\n",
|
|||
|
|
" gray = src\n",
|
|||
|
|
"\n",
|
|||
|
|
"gray = cv.bitwise_not(gray)\n",
|
|||
|
|
"bw = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 15, -2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"horizontal = np.copy(bw)\n",
|
|||
|
|
"vertical = np.copy(bw)\n",
|
|||
|
|
"\n",
|
|||
|
|
"horizontal_size = horizontal.shape[1] // 30\n",
|
|||
|
|
"horizontalStructure = cv.getStructuringElement(cv.MORPH_RECT, (horizontal_size, 1))\n",
|
|||
|
|
"horizontal = cv.erode(horizontal, horizontalStructure)\n",
|
|||
|
|
"horizontal = cv.dilate(horizontal, horizontalStructure)\n",
|
|||
|
|
"\n",
|
|||
|
|
"vertical_size = vertical.shape[0] // 30\n",
|
|||
|
|
"verticalStructure = cv.getStructuringElement(cv.MORPH_RECT, (1, vertical_size))\n",
|
|||
|
|
"vertical = cv.erode(vertical, verticalStructure)\n",
|
|||
|
|
"vertical = cv.dilate(vertical, verticalStructure)\n",
|
|||
|
|
"\n",
|
|||
|
|
"vertical = cv.bitwise_not(vertical)\n",
|
|||
|
|
"edges = cv.adaptiveThreshold(vertical, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 3, -2)\n",
|
|||
|
|
"kernel = np.ones((2, 2), np.uint8)\n",
|
|||
|
|
"edges = cv.dilate(edges, kernel)\n",
|
|||
|
|
"smooth = np.copy(vertical)\n",
|
|||
|
|
"smooth = cv.blur(smooth, (2, 2))\n",
|
|||
|
|
"rows, cols = np.where(edges != 0)\n",
|
|||
|
|
"vertical[rows, cols] = smooth[rows, cols]\n",
|
|||
|
|
"\n",
|
|||
|
|
"titles = ['Original', 'Grayscale', 'Binary', 'Horizontal Lines', 'Vertical Lines', 'Smoothed Vertical']\n",
|
|||
|
|
"images = [src, gray, bw, horizontal, vertical, smooth]\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(12, 8))\n",
|
|||
|
|
"for i in range(len(images)):\n",
|
|||
|
|
" plt.subplot(2, 3, i + 1)\n",
|
|||
|
|
" plt.imshow(images[i], cmap='gray' if len(images[i].shape) == 2 else None)\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x1000 with 5 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"image_path = 'img/text.png'\n",
|
|||
|
|
"image = cv2.imread(image_path)\n",
|
|||
|
|
"\n",
|
|||
|
|
"assert image is not None, \"Invalid image file or path.\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
|
|||
|
|
"blur = cv2.GaussianBlur(gray, (3, 3), 0)\n",
|
|||
|
|
"bw = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]\n",
|
|||
|
|
"\n",
|
|||
|
|
"kernel_size = (15, 1)\n",
|
|||
|
|
"kernel = cv2.getStructuringElement(cv2.MORPH_RECT, kernel_size)\n",
|
|||
|
|
"\n",
|
|||
|
|
"bw_closed = cv2.morphologyEx(bw, cv2.MORPH_CLOSE, kernel)\n",
|
|||
|
|
"\n",
|
|||
|
|
"contours, _ = cv2.findContours(bw_closed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"filtered_contours = [cnt for cnt in contours if (cv2.boundingRect(cnt)[2] / cv2.boundingRect(cnt)[3]) >= 3.0]\n",
|
|||
|
|
"\n",
|
|||
|
|
"sorted_contours = sorted(filtered_contours, key=lambda contour: cv2.boundingRect(contour)[1])\n",
|
|||
|
|
"\n",
|
|||
|
|
"image_with_boxes = image.copy()\n",
|
|||
|
|
"padding = 3\n",
|
|||
|
|
"for contour in sorted_contours:\n",
|
|||
|
|
" x, y, w, h = cv2.boundingRect(contour)\n",
|
|||
|
|
" x, y, w, h = (x - padding, y - padding, w + padding, h + padding)\n",
|
|||
|
|
" cv2.rectangle(image_with_boxes, (x, y), (x + w, y + h), (0, 255, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"images = [image, gray, bw, bw_closed, image_with_boxes]\n",
|
|||
|
|
"titles = ['Original Image', 'Grayscale', 'Binary Image', 'Closed Image', 'Detected Text Lines']\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(12, 10))\n",
|
|||
|
|
"for i in range(len(images)):\n",
|
|||
|
|
" plt.subplot(2, 3, i + 1)\n",
|
|||
|
|
" cmap = 'gray' if len(images[i].shape) == 2 else None\n",
|
|||
|
|
" plt.imshow(cv2.cvtColor(images[i], cv2.COLOR_BGR2RGB) if cmap is None else images[i], cmap=cmap)\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 6"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x800 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"True"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 12,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"A = cv.imread('img/apple.png')\n",
|
|||
|
|
"B = cv.imread('img/orange.png')\n",
|
|||
|
|
"assert A is not None, \"Apple image could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"assert B is not None, \"Orange image could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"A = cv.resize(A, (512, 512))\n",
|
|||
|
|
"B = cv.resize(B, (512, 512))\n",
|
|||
|
|
"\n",
|
|||
|
|
"G = A.copy()\n",
|
|||
|
|
"gpA = [G]\n",
|
|||
|
|
"for i in range(6):\n",
|
|||
|
|
" G = cv.pyrDown(G)\n",
|
|||
|
|
" gpA.append(G)\n",
|
|||
|
|
"\n",
|
|||
|
|
"G = B.copy()\n",
|
|||
|
|
"gpB = [G]\n",
|
|||
|
|
"for i in range(6):\n",
|
|||
|
|
" G = cv.pyrDown(G)\n",
|
|||
|
|
" gpB.append(G)\n",
|
|||
|
|
"\n",
|
|||
|
|
"lpA = [gpA[5]]\n",
|
|||
|
|
"for i in range(5, 0, -1):\n",
|
|||
|
|
" GE = cv.pyrUp(gpA[i], dstsize=(gpA[i-1].shape[1], gpA[i-1].shape[0]))\n",
|
|||
|
|
" L = cv.subtract(gpA[i-1], GE)\n",
|
|||
|
|
" lpA.append(L)\n",
|
|||
|
|
"\n",
|
|||
|
|
"lpB = [gpB[5]]\n",
|
|||
|
|
"for i in range(5, 0, -1):\n",
|
|||
|
|
" GE = cv.pyrUp(gpB[i], dstsize=(gpB[i-1].shape[1], gpB[i-1].shape[0]))\n",
|
|||
|
|
" L = cv.subtract(gpB[i-1], GE)\n",
|
|||
|
|
" lpB.append(L)\n",
|
|||
|
|
"\n",
|
|||
|
|
"LS = []\n",
|
|||
|
|
"for la, lb in zip(lpA, lpB):\n",
|
|||
|
|
" rows, cols, dpt = la.shape\n",
|
|||
|
|
" ls = np.hstack((la[:, :cols // 2], lb[:, cols // 2:]))\n",
|
|||
|
|
" LS.append(ls)\n",
|
|||
|
|
"\n",
|
|||
|
|
"ls_ = LS[0]\n",
|
|||
|
|
"for i in range(1, 6):\n",
|
|||
|
|
" ls_ = cv.pyrUp(ls_, dstsize=(LS[i].shape[1], LS[i].shape[0]))\n",
|
|||
|
|
" ls_ = cv.add(ls_, LS[i])\n",
|
|||
|
|
"\n",
|
|||
|
|
"cols = A.shape[1]\n",
|
|||
|
|
"real = np.hstack((A[:, :cols // 2], B[:, cols // 2:]))\n",
|
|||
|
|
"\n",
|
|||
|
|
"images = [A, B, real, ls_]\n",
|
|||
|
|
"titles = ['Apple', 'Orange', 'Direct Blending', 'Pyramid Blending']\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 8))\n",
|
|||
|
|
"for i in range(len(images)):\n",
|
|||
|
|
" plt.subplot(2, 2, i + 1)\n",
|
|||
|
|
" plt.imshow(cv.cvtColor(images[i], cv.COLOR_BGR2RGB))\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.imwrite('Pyramid_blending.png', ls_)\n",
|
|||
|
|
"cv.imwrite('Direct_blending.png', real)\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAMHCAYAAADozuQgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5wkVbm/n3NOVXX3pA3sshGWsMAShUvQi2RUJAcRJUlGBEH9ieBVEQSVIFxATGBEuAYERJQg0QCCmRwXWQSEXXbZNDPdXVXnnN8fp6qne6ZndmZ2dmfDefg0M11d4a3QZ6u+877fV1hrLR6Px+PxeDwej8fj8Xg8Hs9KRI52AB6Px+PxeDwej8fj8Xg8nrUPL0p5PB6Px+PxeDwej8fj8XhWOl6U8ng8Ho/H4/F4PB6Px+PxrHS8KOXxeDwej8fj8Xg8Ho/H41npeFHK4/F4PB6Px+PxeDwej8ez0vGilMfj8Xg8Ho/H4/F4PB6PZ6XjRSmPx+PxeDwej8fj8Xg8Hs9Kx4tSHo/H4/F4PB6Px+PxeDyelY4XpTwej8fj8Xg8Ho/H4/F4PCsdL0qtxlxwwQUIIYa17I9+9COEEMyZM2dkg6pjzpw5CCH40Y9+tMK24fF4Vj1+97vfIYTg5ptvHu1QgBUTz1DGXyEEF1xwwYhtO9+f3/3udyO2To/Hs/rh77M8Hs9os8EGG3DAAQeMdhijxkjf462teFFqFHj66ac55phjmDZtGoVCgalTp3L00Ufz9NNPj3Zoo8Kq9gDr8Xj6IoQY1MsLJR6PZ03A36t5PJ4nn3ySww8/nBkzZlAsFpk2bRrvfe97ueaaa0Y7tAbyZIP617rrrsuee+7JXXfdNdrheTzLJBjtANY2br31Vo488kjGjx/PSSedxIYbbsicOXP4/ve/z80338zPfvYzDj300EGt6wtf+AKf/exnhxXHsccey4c//GEKhcKwlvd4PGsXN9xwQ8P7H//4x9x77719pm+++eY8++yzKzM0j8fjGVFG8l5tRTJjxgzK5TJhGI52KB7PGsef/vQn9txzT9Zff31OOeUUJk+ezKuvvsqjjz7K1VdfzZlnnjnaIfbhwgsvZMMNN8Ray9y5c/nRj37Efvvtx69//eu1OpvJs+rjRamVyEsvvcSxxx7LRhttxB/+8AcmTpxY++wTn/gEu+66K8ceeyxPPPEEG220Ub/r6erqorW1lSAICILhnUKlFEqpYS3r8XjWPo455piG948++ij33ntvn+nAcotS3d3dtLS0LNc6PB6PZziM1L3aykAIQbFYHNUYPJ41la985SuMGTOGv/71r4wdO7bhs3nz5o3YdvLnupFg3333ZYcddqi9P+mkk5g0aRI//elPV2tRaiSPkWfVxJfvrUS+9rWv0d3dzXXXXddwkwMwYcIErr32Wrq6urjssstq03PfkmeeeYajjjqKcePGscsuuzR8Vk+5XOass85iwoQJtLe3c9BBB/H666/3qXdt5imV1wQ/9NBD7LTTThSLRTbaaCN+/OMfN2zj7bff5uyzz2brrbemra2Njo4O9t13Xx5//PEROlI9+/bCCy9wzDHHMGbMGCZOnMh5552HtZZXX32Vgw8+mI6ODiZPnswVV1zRsHwcx3zxi19k++23Z8yYMbS2trLrrrvy4IMP9tnWggULOPbYY+no6GDs2LEcd9xxPP744019Gp577jkOP/xwxo8fT7FYZIcdduD2228fsf32eNYkjDF85StfYfr06RSLRfbee29mz57dMM8ee+zBVlttxd///nd22203Wlpa+NznPgdAtVrl/PPPZ+bMmRQKBdZbbz3OOeccqtVqwzruvfdedtllF8aOHUtbWxubbbZZbR1DjQfgF7/4Bdtvvz2lUokJEyZwzDHH8Prrry9zf6vVKp/61KeYOHFibfx97bXXms77+uuvc+KJJzJp0iQKhQJbbrklP/jBD/rM99prr3HIIYfQ2trKuuuuy6c+9ak+++/xeEaOod6r5fcrzz33HEcccQQdHR2ss846fOITn6BSqfRZ/4033lgbX8aPH8+HP/xhXn311YZ58nHxmWeeYc8996SlpYVp06Y13B9Cc0+p448/nra2Nl5//XUOOeQQ2tramDhxImeffTZa64blh3L/4/Gsbbz00ktsueWWfQQpgHXXXbf2+0Debr2fvwZ6roPBjQ9DYezYsZRKpT5JDJdffjk777wz66yzDqVSie23375fG5Ubb7yRnXbaiZaWFsaNG8duu+3GPffcM+B2r7/+eoIg4DOf+Uxt2mDHm3wMe+mll9hvv/1ob2/n6KOPBpw49elPf5r11luPQqHAZpttxuWXX461trb8cM7H7NmzOf744xk7dixjxozhhBNOoLu7u2HZodzjeYaOz5Raifz6179mgw02YNddd236+W677cYGG2zAHXfc0eezD37wg2yyySZ89atfbfji9eb444/npptu4thjj+Vd73oXv//979l///0HHePs2bM5/PDDOemkkzjuuOP4wQ9+wPHHH8/222/PlltuCcC//vUvbrvtNj74wQ+y4YYbMnfuXK699lp23313nnnmGaZOnTro7S2LD33oQ2y++eZccskl3HHHHXz5y19m/PjxXHvttey1115ceuml/N///R9nn302O+64I7vtthsAS5Ys4Xvf+x5HHnkkp5xyCkuXLuX73/8+++yzD3/5y1/YdtttAfeQeuCBB/KXv/yFj33sY8yaNYtf/epXHHfccX1iefrpp3n3u9/NtGnT+OxnP0trays33XQThxxyCLfccssqkcrv8axKXHLJJUgpOfvss1m8eDGXXXYZRx99NH/+858b5luwYAH77rsvH/7whznmmGOYNGkSxhgOOuggHnroIU499VQ233xznnzySa688kpeeOEFbrvtNsB9Lw844AC22WYbLrzwQgqFArNnz+bhhx8eVjw/+tGPOOGEE9hxxx25+OKLmTt3LldffTUPP/ww//znP5venOacfPLJ3HjjjRx11FHsvPPOPPDAA03H37lz5/Kud70LIQQf//jHmThxInfddRcnnXQSS5Ys4ZOf/CTg/siw99578+9//5uzzjqLqVOncsMNN/DAAw8M/WR4PJ5BMdx7tSOOOIINNtiAiy++mEcffZSvf/3rLFy4sOEPe1/5ylc477zzOOKIIzj55JN56623uOaaa9htt936jC8LFy7k/e9/P4cddhhHHHEEN998M+eeey5bb701++6774D7oLVmn3324Z3vfCeXX3459913H1dccQUbb7wxH/vYx4Ch3f94PGsjM2bM4JFHHuGpp55iq622GtF1N3uuG8r40B+LFy9m/vz5WGuZN28e11xzDZ2dnX2y2q+++moOOuggjj76aOI45mc/+xkf/OAH+c1vftNw3/KlL32JCy64gJ133pkLL7yQKIr485//zAMPPMD73ve+pjFcd911nHbaaXzuc5/jy1/+MjD08SZNU/bZZx922WUXLr/8clpaWrDWctBBB/Hggw9y0kknse222/Lb3/6Wz3zmM7z++utceeWVgzn0TTniiCPYcMMNufjii/nHP/7B9773PdZdd10uvfTS2jyDvcfzDBPrWSksWrTIAvbggw8ecL6DDjrIAnbJkiXWWmvPP/98C9gjjzyyz7z5Zzl///vfLWA/+clPNsx3/PHHW8Cef/75tWk//OEPLWBffvnl2rQZM2ZYwP7hD3+oTZs3b54tFAr205/+dG1apVKxWuuGbbz88su2UCjYCy+8sGEaYH/4wx8OuM8PPvigBewvfvGLPvt26qmn1qalaWqnT59uhRD2kksuqU1fuHChLZVK9rjjjmuYt1qtNmxn4cKFdtKkSfbEE0+sTbvlllssYK+66qraNK213WuvvfrEvvfee9utt97aViqV2jRjjN15553tJptsMuA+ejxrGmeccYbt75+Q/Du9+eabN3wPr776agvYJ598sjZt9913t4D9zne+07COG264wUop7R//+MeG6d/5zncsYB9++GFrrbVXXnmlBexbb73Vb6yDjSeOY7vuuuvarbbaypbL5dp8v/nNbyx
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x800 with 8 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/d3/db4/tutorial_py_watershed.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/coins.jpg')\n",
|
|||
|
|
"assert img is not None, \"Image could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"\n",
|
|||
|
|
"_, thresh = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU)\n",
|
|||
|
|
"\n",
|
|||
|
|
"kernel = np.ones((3, 3), np.uint8)\n",
|
|||
|
|
"opening = cv.morphologyEx(thresh, cv.MORPH_OPEN, kernel, iterations=2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"sure_bg = cv.dilate(opening, kernel, iterations=3)\n",
|
|||
|
|
"\n",
|
|||
|
|
"dist_transform = cv.distanceTransform(opening, cv.DIST_L2, 5)\n",
|
|||
|
|
"_, sure_fg = cv.threshold(dist_transform, 0.7 * dist_transform.max(), 255, 0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"sure_fg = np.uint8(sure_fg)\n",
|
|||
|
|
"\n",
|
|||
|
|
"unknown = cv.subtract(sure_bg, sure_fg)\n",
|
|||
|
|
"\n",
|
|||
|
|
"_, markers = cv.connectedComponents(sure_fg)\n",
|
|||
|
|
"\n",
|
|||
|
|
"markers = markers + 1\n",
|
|||
|
|
"\n",
|
|||
|
|
"markers[unknown == 255] = 0\n",
|
|||
|
|
"\n",
|
|||
|
|
"markers = cv.watershed(img, markers)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img[markers == -1] = [255, 0, 0]\n",
|
|||
|
|
"\n",
|
|||
|
|
"titles = ['Original Image', 'Thresholded', 'Opening', 'Sure Background', \n",
|
|||
|
|
" 'Distance Transform', 'Sure Foreground', 'Markers', 'Final Segmentation']\n",
|
|||
|
|
"images = [cv.cvtColor(img, cv.COLOR_BGR2RGB), thresh, opening, sure_bg, \n",
|
|||
|
|
" dist_transform, sure_fg, cv.applyColorMap(cv.convertScaleAbs(markers, alpha=255/markers.max()), cv.COLORMAP_JET), \n",
|
|||
|
|
" cv.cvtColor(img, cv.COLOR_BGR2RGB)]\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(12, 8))\n",
|
|||
|
|
"for i in range(len(images)):\n",
|
|||
|
|
" plt.subplot(2, 4, i + 1)\n",
|
|||
|
|
" cmap = 'gray' if len(images[i].shape) == 2 else None\n",
|
|||
|
|
" plt.imshow(images[i], cmap=cmap)\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x500 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/4.x/d8/d01/tutorial_discrete_fourier_transform.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"image_path = 'img/lena.png'\n",
|
|||
|
|
"I = cv.imread(image_path, cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert I is not None, \"Image could not be loaded, check the path.\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"rows, cols = I.shape\n",
|
|||
|
|
"m = cv.getOptimalDFTSize(rows)\n",
|
|||
|
|
"n = cv.getOptimalDFTSize(cols)\n",
|
|||
|
|
"padded = cv.copyMakeBorder(I, 0, m - rows, 0, n - cols, cv.BORDER_CONSTANT, value=0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"planes = [np.float32(padded), np.zeros(padded.shape, np.float32)]\n",
|
|||
|
|
"complexI = cv.merge(planes)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.dft(complexI, complexI)\n",
|
|||
|
|
"\n",
|
|||
|
|
"planes = cv.split(complexI)\n",
|
|||
|
|
"cv.magnitude(planes[0], planes[1], planes[0])\n",
|
|||
|
|
"magI = planes[0]\n",
|
|||
|
|
"\n",
|
|||
|
|
"matOfOnes = np.ones(magI.shape, dtype=magI.dtype)\n",
|
|||
|
|
"cv.add(matOfOnes, magI, magI)\n",
|
|||
|
|
"cv.log(magI, magI)\n",
|
|||
|
|
"\n",
|
|||
|
|
"magI_rows, magI_cols = magI.shape\n",
|
|||
|
|
"magI = magI[0:(magI_rows & -2), 0:(magI_cols & -2)]\n",
|
|||
|
|
"cx, cy = magI.shape[0] // 2, magI.shape[1] // 2\n",
|
|||
|
|
"\n",
|
|||
|
|
"q0 = magI[0:cx, 0:cy]\n",
|
|||
|
|
"q1 = magI[cx:cx+cx, 0:cy]\n",
|
|||
|
|
"q2 = magI[0:cx, cy:cy+cy]\n",
|
|||
|
|
"q3 = magI[cx:cx+cx, cy:cy+cy]\n",
|
|||
|
|
"\n",
|
|||
|
|
"tmp = np.copy(q0)\n",
|
|||
|
|
"magI[0:cx, 0:cy] = q3\n",
|
|||
|
|
"magI[cx:cx+cx, cy:cy+cy] = tmp\n",
|
|||
|
|
"\n",
|
|||
|
|
"tmp = np.copy(q1)\n",
|
|||
|
|
"magI[cx:cx+cx, 0:cy] = q2\n",
|
|||
|
|
"magI[0:cx, cy:cy+cy] = tmp\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.normalize(magI, magI, 0, 1, cv.NORM_MINMAX)\n",
|
|||
|
|
"\n",
|
|||
|
|
"images = [I, magI]\n",
|
|||
|
|
"titles = ['Input Image', 'Spectrum Magnitude']\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 5))\n",
|
|||
|
|
"for i in range(len(images)):\n",
|
|||
|
|
" plt.subplot(1, 2, i + 1)\n",
|
|||
|
|
" plt.imshow(images[i], cmap='gray')\n",
|
|||
|
|
" plt.title(titles[i])\n",
|
|||
|
|
" plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 7"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAx8AAAHDCAYAAABFx6fYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5Qc1ZX/v51zmOnJOWpGWUikAYNkg9CCHLDBthyQMLYXWAELrA3LGrM22GiNlzWsbcBevOAflnaX5IRIAgE2IBAICWVpRpNz6Omcu+v3h857rq6pTjM9oxHczzk6mq569eq9Ct33vpsUgiAIIAiCIAiCIAiCmGWUp3oABEEQBEEQBEF8PCDlgyAIgiAIgiCIOYGUD4IgCIIgCIIg5gRSPgiCIAiCIAiCmBNI+SAIgiAIgiAIYk4g5YMgCIIgCIIgiDmBlA+CIAiCIAiCIOYEUj4IgiAIgiAIgpgTSPkgCIIgCIIgCGJOIOWDIAiCIAgiB66++mrU1dWd0jEoFAr84Ac/OKVjIIjpQMoHQRAEQRBZ0dXVhRtuuAELFiyA0WiE0WjEokWLsHnzZuzfv/9UD++05Qc/+AEUCgXGx8dl99fV1eHTn/70jM+zbds2PPDAAzPuhyBmgvpUD4AgCIIgiPnPc889hy9/+ctQq9X42te+huXLl0OpVOLo0aN49tln8fDDD6Orqwu1tbWneqgfC4LBINTq3MS4bdu24eDBg7j55ptnZ1AEkQWkfBAEQRAEkZYTJ05gw4YNqK2txauvvory8vKk/T/5yU/w0EMPQalM71Dh9/thMplmc6gfG/R6/akeQs7Q/ScAcrsiCIIgCCID9913H/x+Px577LEpigcAqNVq3HTTTaiurubbrr76apjNZpw4cQKXXXYZLBYLvva1rwEA/vrXv+KLX/wiampqoNPpUF1djVtuuQXBYJAf/9hjj0GhUGDv3r1TznfvvfdCpVJhYGAAANDe3o4rrrgCZWVl0Ov1qKqqwoYNG+B2u5OO+93vfoezzz4bRqMRBQUFuPDCC/Hyyy/z/X/84x+xfv16VFRUQKfTobGxEffccw/i8XjGa5RIJPDAAw9g8eLF0Ov1KC0txbXXXovJycmMx04HacyH1+vFzTffjLq6Ouh0OpSUlGDt2rX44IMPAABr1qzB9u3b0dPTA4VCAYVCkRS3Mjo6im9+85soLS2FXq/H8uXL8dvf/nbKeScmJnDVVVfBarXCbrdj06ZN+PDDD6FQKPD444/zdjO9/+I+ent78elPfxpmsxmVlZX45S9/CQA4cOAAPvWpT8FkMqG2thbbtm3L09UlZhOyfBAEQRAEkZbnnnsOTU1NOOecc3I6LhaLYd26dfjEJz6Bf//3f4fRaAQAPPXUUwgEArj++uvhcDiwe/du/PznP0d/fz+eeuopAMCVV16JzZs3Y+vWrTjjjDOS+t26dSvWrFmDyspKRCIRrFu3DuFwGDfeeCPKysowMDCA5557Di6XCzabDQDwwx/+ED/4wQ9w3nnn4e6774ZWq8W7776LnTt34pJLLgEAPP744zCbzbj11lthNpuxc+dO3HXXXfB4PPjpT3+adq7XXnstHn/8cXzjG9/ATTfdhK6uLvziF7/A3r178dZbb0Gj0WS8Xk6nU3Z7IpHIeOx1112Hp59+GjfccAMWLVqEiYkJvPnmmzhy5AhWrlyJ733ve3C73ejv78fPfvYzAIDZbAZw0oVrzZo16OjowA033ID6+no89dRTuPrqq+FyufCP//iPfByf+cxnsHv3blx//fVobW3FH//4R2zatEl2TDO5/4x4PI5LL70UF154Ie677z5s3boVN9xwA0wmE773ve/ha1/7Gr7whS/gkUcewcaNG9HW1ob6+vqM14s4hQgEQRAEQRApcLvdAgDh8ssvn7JvcnJSGBsb4/8CgQDft2nTJgGA8M///M9TjhO3Y2zZskVQKBRCT08P3/aVr3xFqKioEOLxON/2wQcfCACExx57TBAEQdi7d68AQHjqqadSzqG9vV1QKpXC5z//+aS+BEEQEolE2nFde+21gtFoFEKhUNLcamtr+ee//vWvAgBh69atSce++OKLstul/Ou//qsAIO2/9evXJx0DQPjXf/1X/tlmswmbN29Oe57169cnjZvxwAMPCACE3/3ud3xbJBIR2traBLPZLHg8HkEQBOGZZ54RAAgPPPAAbxePx4VPfepTSfdEEPJz/1kf9957L982OTkpGAwGQaFQCP/7v//Ltx89enTKNSHmJ+R2RRAEQRBESjweD4C/rZKLWbNmDYqLi/k/5g4j5vrrr5+yzWAw8L/9fj/Gx8dx3nnnQRCEJDerjRs3YnBwEK+99hrftnXrVhgMBlxxxRUAwC0bL730EgKBgOwc/vCHPyCRSOCuu+6aEpeiUChkx+X1ejE+Po4LLrgAgUAAR48ele0bOLmSb7PZsHbtWoyPj/N/q1atgtlsThp/Op555hns2LFjyr/S0tKMx9rtdrz77rsYHBzM6lxinn/+eZSVleErX/kK36bRaHDTTTfB5/PhjTfeAAC8+OKL0Gg0+Pa3v83bKZVKbN68OWXfM7n/jG9961v8b7vdjpaWFphMJnzpS1/i21taWmC329HZ2ZnlrIlTBbldEQRBEASREovFAgDw+XxT9v3qV7+C1+vFyMgIvv71r0/Zr1arUVVVNWV7b28v7rrrLvzpT3+aEhMhjtNYu3YtysvLsXXrVlx00UVIJBL4n//5H3zuc5/j46qvr8ett96K//iP/8DWrVtxwQUX4LOf/Sy+/vWvc8XkxIkTUCqVWLRoUdq5Hjp0CHfeeSd27tzJlS65cUlpb2+H2+1GSUmJ7P7R0dG052VceOGFKCoqmrI9m+Dy++67D5s2bUJ1dTVWrVqFyy67DBs3bkRDQ0PGY3t6etDc3DxFMVu4cCHfz/4vLy/n7lOMpqYm2X5nev+Bk3MvLi5O2maz2VBVVZWkOLLtsxVjQ+QPUj4IgiAIgkiJzWZDeXk5Dh48OGUfiwHp7u6WPVan000RaOPxONauXQun04nbb78dra2tMJlMGBgYwNVXX50U36BSqfDVr34V//Vf/4WHHnoIb731FgYHB6coOvfffz+uvvpq/PGPf8TLL7+Mm266CVu2bME777wjK/zK4XK5sHr1alitVtx9991obGyEXq/HBx98gNtvvz1t3EUikUBJSQm2bt0qu18qPM8GX/rSl3DBBRfg97//PV5++WX89Kc/xU9+8hM8++yzuPTSS2f9/HLM9P4DJ58BOVJtFwQhP4MnZg1SPgiCIAiCSMv69evx6KOPYvfu3Tj77LNn1NeBAwdw/Phx/Pa3v8XGjRv59h07dsi237hxI+6//378+c9/xgsvvIDi4mKsW7duSrulS5di6dKluPPOO/H222/j/PPPxyOPPIIf/ehHaGxsRCKRwOHDh7FixQrZ87z++uuYmJjAs88+iwsvvJBv7+rqyjinxsZGvPLKKzj//POTXIrmmvLycvzDP/wD/uEf/gGjo6NYuXIlfvzjH3PlQ2opYNTW1mL//v1IJBJJygJzNWO1W2pra/Haa68hEAgkWT86OjqyHmOu95/46EExHwRBEARBpOW2226D0WjENddcg5GRkSn7c1ltZivW4mMEQcCDDz4o237ZsmVYtmwZHn30UTzzzDPYsGFDUnE9j8eDWCyWdMzSpUuhVCoRDocBAJdffjmUSiXuvvvuKSvrbBxy44pEInjooYcyzulLX/oS4vE47rnnnin7YrEYXC5Xxj5mQjwen+KuVFJSgoqKCn4NAMBkMsm6j1122WUYHh7G//3f//FtsVgMP//5z2E2m7F69WoAwLp16xCNRvFf//VfvF0ikZCN9UlFrvef+OhBlg+CIAiCINLS3NyMbdu24Stf+QpaWlp4hXNBENDV1YVt27ZBqVRm5eLU2tqKxsZGfOc738HAwACsViueeeaZtL76GzduxHe+8x0AmOJytXPnTtxwww344he/iAULFiAWi+GJJ56ASqXiQelNTU343ve+h3vuuQcXXHABvvCFL0Cn0+G9995DRUUFtmz
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x500 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x500 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAuQAAAHDCAYAAABs5Q92AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9d5xc13nfj7+n97oz2yt2F1gUggAoVomk1aWIkmzZklWs5hIncRLZkZ3Ecfy1LbfETmLFVlwSO7L1EiVZtC1Zlk3RFEWKpCgSYEHvwPY6szu9l/v7A79zdPfizuwsCIqAc96v1752984t55YFPue5n+d5LJqmaSgUCoVCoVAoFIpXBeurPQCFQqFQKBQKheL/ZZQgVygUCoVCoVAoXkWUIFcoFAqFQqFQKF5FlCBXKBQKhUKhUCheRZQgVygUCoVCoVAoXkWUIFcoFAqFQqFQKF5FlCBXKBQKhUKhUCheRZQgVygUCoVCoVAoXkWUIFcoFAqFQqFQKF5FbipB/qu/+qtYLJZr2vbP//zPsVgszMzMXN9B6ZiZmcFisfDnf/7nr9gx/inycu6rQqFQKP7f5oknnsBisfBXf/VXr/ZQFIpr5vsiyE+dOsWP/diPMTAwgMvlor+/nw996EOcOnXq+3H4G5a1tTX+43/8j9xyyy34/X7cbjcTExN8/OMf5+mnn361h3fTIiZfzz///Ks9FIVCofgnj/g312KxmP7fpWkaQ0NDWCwWHnjggVdhhArFjc8rLsj/5m/+hkOHDvHYY4/x8Y9/nD/8wz/kJ37iJ3j88cc5dOgQX/nKVzre13/+z/+ZUql0TeP48Ic/TKlUYmRk5Jq2v94cPnyYvXv38ulPf5rbbruN//pf/yuf+cxn+NEf/VEOHz7Mvffey5NPPvlqD1OhUCgUio5wu9184QtfuGr5t7/9bRYWFnC5XK/CqBSKmwP7K7nzS5cu8eEPf5gdO3bw5JNPEo/H5Wef+MQnuPfee/nwhz/M8ePH2bFjR8v9FAoFfD4fdrsdu/3ahmyz2bDZbNe07fUmlUrxgz/4g9jtdo4ePcrU1NSmz3/jN36DL33pS3g8nrb7EddFoVAoFIpXm3/2z/4ZDz30EL//+7+/6f/qL3zhC9x2220kk8lXcXQKxY3NKxoh/93f/V2KxSL/+3//701iHCAWi/Enf/InFAoFfud3fkcuF37i06dP88EPfpBIJMLrXve6TZ/pKZVK/Nt/+2+JxWIEAgHe9a53sbi4iMVi4Vd/9VflemYe8tHRUR544AGefvpp7rjjDtxuNzt27OBzn/vcpmNsbGzw8z//89JaEgwGefvb386xY8eu6br88R//McvLy3z605++SowDWCwWPvCBD3D77bd3dF2OHz/Oxz72MXbs2IHb7aa3t5cf//EfZ319XW7/+OOPY7FYTN9IfOELX8BisfDd734XgJWVFT7+8Y8zODiIy+Wir6+Pd7/73Vf57x9++GHuv/9+AoEAwWCQ22+/fVN05KmnnuK9730vw8PDuFwuhoaG+Lmf+7mO33J8/vOf57bbbsPj8RCNRnn/+9/P/Px8R9sa+djHPobf72dubo4HHngAv9/PwMAA/+t//S8ATpw4wRve8AZ8Ph8jIyNXRXm28wzMzs7yrne9C5/PR3d3Nz/3cz/HI488gsVi4Yknnti07nPPPcfb3vY2QqEQXq+X+++/n+985zvXdI4KhULxavKBD3yA9fV1Hn30UbmsWq3yV3/1V3zwgx+8av3/9t/+G/fccw9dXV14PB5uu+02Ux/4o48+yute9zrC4TB+v59du3bxn/7Tf2o7lkqlwgMPPEAoFOKZZ555+SenULzCvKIR8r/7u79jdHSUe++91/Tz++67j9HRUf7+7//+qs/e+973Mjk5yW/91m+haVrLY3zsYx/jy1/+Mh/+8Ie56667+Pa3v8073vGOjsd48eJFfuRHfoSf+Imf4KMf/Sj/9//+Xz72sY9x2223sXfvXgAuX77MV7/6Vd773vcyNjbG6uoqf/Inf8L999/P6dOn6e/v7/h4cOW6eDwe3vOe92xrOzC/Lo8++iiXL1/m4x//OL29vZw6dYr//b//N6dOneLZZ5/FYrHwAz/wAwwNDfHggw/yQz/0Q5v2+eCDDzI+Ps7dd98NwA//8A9z6tQp/s2/+TeMjo6ytrbGo48+ytzcHKOjo8CVCc6P//iPs3fvXn7xF3+RcDjMSy+9xDe+8Q35D+9DDz1EsVjkX/7Lf0lXVxeHDx/mD/7gD1hYWOChhx5qe56/+Zu/yS//8i/zvve9j5/8yZ8kkUjwB3/wB9x333289NJLhMPhbV+7RqPB29/+du677z5+53d+hwcffJB//a//NT6fj1/6pV/iQx/6EO95z3v44z/+Yz7ykY9w9913MzY2BnT+DBQKBd7whjewvLzMJz7xCXp7e/nCF77A448/ftV4vvWtb/H2t7+d2267jV/5lV/BarXy2c9+lje84Q089dRT3HHHHds+R4VCoXi1GB0d5e677+aLX/wib3/724ErgZtMJsP73/9+fv/3f3/T+v/zf/5P3vWud/GhD32IarXKl770Jd773vfy9a9/Xf4/furUKR544AH279/Ppz71KVwuFxcvXmwbuCiVSrz73e/m+eef55vf/Oam4JZCccOivUKk02kN0N797ne3Xe9d73qXBmjZbFbTNE37lV/5FQ3QPvCBD1y1rvhM8MILL2iA9rM/+7Ob1vvYxz6mAdqv/MqvyGWf/exnNUCbnp6Wy0ZGRjRAe/LJJ+WytbU1zeVyaZ/85CflsnK5rDUajU3HmJ6e1lwul/apT31q0zJA++xnP9v2nCORiHbgwIGrlmezWS2RSMivfD5/1bmbXZdisXjVsi9+8YtXndsv/uIvai6XS0un05vO1263y2uVSqU0QPvd3/3dluNPp9NaIBDQ7rzzTq1UKm36rNlsth3Xb//2b2sWi0WbnZ296twEMzMzms1m037zN39z07YnTpzQ7Hb7VcuNiHt95MgRueyjH/2oBmi/9Vu/JZelUinN4/FoFotF+9KXviSXnz179qrnp9Nn4L//9/+uAdpXv/pVuaxUKmlTU1MaoD3++OOapl25TpOTk9pb3/rWq67Z2NiY9uY3v7ntOSoUCsWNgv7f3M985jNaIBCQ//6/973v1V7/+tdrmnbl/9x3vOMdcjvj/xHValXbt2+f9oY3vEEu+73f+z0N0BKJRMvjP/744xqgPfTQQ1oul9Puv/9+LRaLaS+99NJ1PEuF4pXlFbOs5HI5AAKBQNv1xOfZbHbT8n/xL/7Flsf4xje+AcC/+lf/atPyf/Nv/k3H49yzZ8+mCH48HmfXrl1cvnxZLnO5XFitVy5Vo9FgfX1dvjZ78cUXOz6WIJvN4vf7r1r+4Q9/mHg8Lr/+w3/4D1etY3Zd9F7zcrlMMpnkrrvuAtg0vo985CNUKpVNrwT/8i//knq9zo/92I/JfTmdTp544glSqZTp+B999FFyuRz/8T/+R9xu96bP9JYi/bgKhQLJZJJ77rkHTdN46aWXTPcNVxKBm80m73vf+0gmk/Krt7eXyclJ02hzp/zkT/6k/DkcDrNr1y58Ph/ve9/75PJdu3YRDoev6Rn4xje+wcDAAO9617vkMrfbzU/91E9tGsfRo0e5cOECH/zgB1lfX5fnWCgUeOMb38iTTz5Js9m85vNUKBSKV4P3ve99lEolvv71r5PL5fj6179ualeBzf9HpFIpMpkM995776Z/U8Xb0L/927/d8t/ETCbDW97yFs6ePcsTTzzBgQMHXvb5KBTfL14xQS6EthDmrWgl3IVVoB2zs7NYrdar1p2YmOh4nMPDw1cti0Qim8Ros9nk937v95icnMTlchGLxYjH4xw/fpxMJtPxsQSBQIB8Pn/V8k996lM8+uijm/x3Rsyuy8bGBp/4xCfo6enB4/EQj8flevrxTU1Ncfvtt/Pggw/KZQ8++CB33XWXvGYul4v/+l//Kw8//DA9PT3S3rGysiK3uXTpEgD79u1re55zc3N87GMfIxqN4vf7icfj3H///VeNy8iFCxf
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x500 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_gray = cv.imread('img/home.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img_gray is not None, \"Image could not be loaded, check the path.\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_color = cv.imread('img/home.jpg')\n",
|
|||
|
|
"assert img_color is not None, \"Image could not be loaded, check the path.\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"hist_gray = cv.calcHist([img_gray], [0], None, [256], [0, 256])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 5))\n",
|
|||
|
|
"plt.subplot(1, 2, 1)\n",
|
|||
|
|
"plt.imshow(img_gray, cmap='gray')\n",
|
|||
|
|
"plt.title(\"Grayscale Image\")\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(1, 2, 2)\n",
|
|||
|
|
"plt.plot(hist_gray, color='black')\n",
|
|||
|
|
"plt.title(\"Grayscale Histogram\")\n",
|
|||
|
|
"plt.xlim([0, 256])\n",
|
|||
|
|
"\n",
|
|||
|
|
"colors = ('b', 'g', 'r')\n",
|
|||
|
|
"plt.figure(figsize=(10, 5))\n",
|
|||
|
|
"for i, color in enumerate(colors):\n",
|
|||
|
|
" hist_color = cv.calcHist([img_color], [i], None, [256], [0, 256])\n",
|
|||
|
|
" plt.plot(hist_color, color=color)\n",
|
|||
|
|
" plt.xlim([0, 256])\n",
|
|||
|
|
"plt.title(\"Color Histogram\")\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"mask = np.zeros(img_gray.shape[:2], np.uint8)\n",
|
|||
|
|
"mask[100:300, 100:400] = 255\n",
|
|||
|
|
"masked_img = cv.bitwise_and(img_gray, img_gray, mask=mask)\n",
|
|||
|
|
"\n",
|
|||
|
|
"hist_full = cv.calcHist([img_gray], [0], None, [256], [0, 256])\n",
|
|||
|
|
"hist_mask = cv.calcHist([img_gray], [0], mask, [256], [0, 256])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 5))\n",
|
|||
|
|
"plt.subplot(2, 2, 1)\n",
|
|||
|
|
"plt.imshow(img_gray, cmap='gray')\n",
|
|||
|
|
"plt.title(\"Original Grayscale Image\")\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(2, 2, 2)\n",
|
|||
|
|
"plt.imshow(mask, cmap='gray')\n",
|
|||
|
|
"plt.title(\"Mask\")\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(2, 2, 3)\n",
|
|||
|
|
"plt.imshow(masked_img, cmap='gray')\n",
|
|||
|
|
"plt.title(\"Masked Image\")\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(2, 2, 4)\n",
|
|||
|
|
"plt.plot(hist_full, label='Full Image', color='blue')\n",
|
|||
|
|
"plt.plot(hist_mask, label='Masked Region', color='green')\n",
|
|||
|
|
"plt.xlim([0, 256])\n",
|
|||
|
|
"plt.title(\"Histogram Comparison\")\n",
|
|||
|
|
"plt.legend()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1200x600 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 600x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"True"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/d5/daf/tutorial_py_histogram_equalization.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/home.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"Image could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"hist, bins = np.histogram(img.flatten(), 256, [0, 256])\n",
|
|||
|
|
"cdf = hist.cumsum()\n",
|
|||
|
|
"cdf_normalized = cdf * float(hist.max()) / cdf.max()\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(12, 6))\n",
|
|||
|
|
"plt.subplot(2, 2, 1)\n",
|
|||
|
|
"plt.imshow(img, cmap='gray')\n",
|
|||
|
|
"plt.title('Original Image')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(2, 2, 2)\n",
|
|||
|
|
"plt.plot(cdf_normalized, color='b')\n",
|
|||
|
|
"plt.hist(img.flatten(), 256, [0, 256], color='r', alpha=0.6)\n",
|
|||
|
|
"plt.title('Original Histogram and CDF')\n",
|
|||
|
|
"plt.xlim([0, 256])\n",
|
|||
|
|
"\n",
|
|||
|
|
"cdf_m = np.ma.masked_equal(cdf, 0)\n",
|
|||
|
|
"cdf_m = (cdf_m - cdf_m.min()) * 255 / (cdf_m.max() - cdf_m.min())\n",
|
|||
|
|
"cdf = np.ma.filled(cdf_m, 0).astype('uint8')\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_eq_numpy = cdf[img]\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_eq_opencv = cv.equalizeHist(img)\n",
|
|||
|
|
"\n",
|
|||
|
|
"clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))\n",
|
|||
|
|
"img_clahe = clahe.apply(img)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(2, 2, 3)\n",
|
|||
|
|
"plt.imshow(img_eq_numpy, cmap='gray')\n",
|
|||
|
|
"plt.title('Histogram Equalized (Numpy)')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(2, 2, 4)\n",
|
|||
|
|
"plt.imshow(img_eq_opencv, cmap='gray')\n",
|
|||
|
|
"plt.title('Histogram Equalized (OpenCV)')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(6, 6))\n",
|
|||
|
|
"plt.imshow(img_clahe, cmap='gray')\n",
|
|||
|
|
"plt.title('CLAHE Result')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.imwrite('histogram_equalized_numpy.jpg', img_eq_numpy)\n",
|
|||
|
|
"cv.imwrite('histogram_equalized_opencv.jpg', img_eq_opencv)\n",
|
|||
|
|
"cv.imwrite('clahe_result.jpg', img_clahe)\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 18,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x600 with 4 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/dd/d0d/tutorial_py_2d_histogram.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/home.jpg')\n",
|
|||
|
|
"assert img is not None, \"Image could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)\n",
|
|||
|
|
"\n",
|
|||
|
|
"hist_cv = cv.calcHist([hsv], [0, 1], None, [180, 256], [0, 180, 0, 256])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 6))\n",
|
|||
|
|
"plt.subplot(1, 2, 1)\n",
|
|||
|
|
"plt.imshow(hist_cv, interpolation='nearest', extent=[0, 256, 0, 180], aspect='auto', cmap='hot')\n",
|
|||
|
|
"plt.title('2D Histogram (OpenCV)')\n",
|
|||
|
|
"plt.xlabel('Saturation')\n",
|
|||
|
|
"plt.ylabel('Hue')\n",
|
|||
|
|
"plt.colorbar()\n",
|
|||
|
|
"\n",
|
|||
|
|
"h, s, _ = cv.split(hsv)\n",
|
|||
|
|
"hist_np, xbins, ybins = np.histogram2d(h.ravel(), s.ravel(), bins=[180, 256], range=[[0, 180], [0, 256]])\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.subplot(1, 2, 2)\n",
|
|||
|
|
"plt.imshow(hist_np, interpolation='nearest', extent=[0, 256, 0, 180], aspect='auto', cmap='hot')\n",
|
|||
|
|
"plt.title('2D Histogram (Numpy)')\n",
|
|||
|
|
"plt.xlabel('Saturation')\n",
|
|||
|
|
"plt.ylabel('Hue')\n",
|
|||
|
|
"plt.colorbar()\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.tight_layout()\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 8"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 29,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 600x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"True"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 29,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/4.x/dc/da5/tutorial_py_drawing_functions.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = np.zeros((512, 512, 3), np.uint8)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.line(img, (0, 0), (511, 511), (255, 0, 0), 5)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.rectangle(img, (384, 0), (510, 128), (0, 255, 0), 3)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.circle(img, (447, 63), 63, (0, 0, 255), -1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.ellipse(img, (256, 256), (100, 50), 0, 0, 180, 255, -1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"pts = np.array([[10, 5], [20, 30], [70, 20], [50, 10]], np.int32)\n",
|
|||
|
|
"pts = pts.reshape((-1, 1, 2))\n",
|
|||
|
|
"cv.polylines(img, [pts], True, (0, 255, 255))\n",
|
|||
|
|
"\n",
|
|||
|
|
"font = cv.FONT_HERSHEY_SIMPLEX\n",
|
|||
|
|
"cv.putText(img, 'Leon', (10, 500), font, 4, (255, 255, 255), 2, cv.LINE_AA)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(6, 6))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Geometric Shapes\")\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.imwrite('img/geometric_shapes.jpg', img)\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 22,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Time with OpenCV: 0.262867 seconds\n",
|
|||
|
|
"Time with time module: 0.23663091659545898 seconds\n",
|
|||
|
|
"Time without optimization: 0.2363342 seconds\n",
|
|||
|
|
"Time with optimization: 0.2342073 seconds\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/dc/d71/tutorial_py_optimization.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import time\n",
|
|||
|
|
"\n",
|
|||
|
|
"img1 = cv.imread('img/home.jpg')\n",
|
|||
|
|
"assert img1 is not None, \"file could not be read, check with os.path.exists()\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"e1 = cv.getTickCount()\n",
|
|||
|
|
"for i in range(5, 49, 2):\n",
|
|||
|
|
" img1 = cv.medianBlur(img1, i)\n",
|
|||
|
|
"e2 = cv.getTickCount()\n",
|
|||
|
|
"t_opencv = (e2 - e1) / cv.getTickFrequency()\n",
|
|||
|
|
"\n",
|
|||
|
|
"start_time = time.time()\n",
|
|||
|
|
"for i in range(5, 49, 2):\n",
|
|||
|
|
" img1 = cv.medianBlur(img1, i)\n",
|
|||
|
|
"end_time = time.time()\n",
|
|||
|
|
"t_time_module = end_time - start_time\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(\"Time with OpenCV:\", t_opencv, \"seconds\")\n",
|
|||
|
|
"print(\"Time with time module:\", t_time_module, \"seconds\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.setUseOptimized(False)\n",
|
|||
|
|
"e1 = cv.getTickCount()\n",
|
|||
|
|
"for i in range(5, 49, 2):\n",
|
|||
|
|
" img1 = cv.medianBlur(img1, i)\n",
|
|||
|
|
"e2 = cv.getTickCount()\n",
|
|||
|
|
"t_no_opt = (e2 - e1) / cv.getTickFrequency()\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.setUseOptimized(True)\n",
|
|||
|
|
"e1 = cv.getTickCount()\n",
|
|||
|
|
"for i in range(5, 49, 2):\n",
|
|||
|
|
" img1 = cv.medianBlur(img1, i)\n",
|
|||
|
|
"e2 = cv.getTickCount()\n",
|
|||
|
|
"t_opt = (e2 - e1) / cv.getTickFrequency()\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(\"Time without optimization:\", t_no_opt, \"seconds\")\n",
|
|||
|
|
"print(\"Time with optimization:\", t_opt, \"seconds\")\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 28,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/4.x/dd/d43/tutorial_py_video_display.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"\n",
|
|||
|
|
"cap = cv.VideoCapture(0)\n",
|
|||
|
|
"fourcc = cv.VideoWriter_fourcc(*'XVID')\n",
|
|||
|
|
"out = cv.VideoWriter('/img/output.avi', fourcc, 20.0, (640, 480))\n",
|
|||
|
|
"\n",
|
|||
|
|
"while cap.isOpened():\n",
|
|||
|
|
" ret, frame = cap.read()\n",
|
|||
|
|
" if not ret:\n",
|
|||
|
|
" break\n",
|
|||
|
|
" out.write(frame)\n",
|
|||
|
|
" cv.imshow('frame', frame)\n",
|
|||
|
|
" if cv.waitKey(1) == ord('q'):\n",
|
|||
|
|
" break\n",
|
|||
|
|
"\n",
|
|||
|
|
"cap.release()\n",
|
|||
|
|
"out.release()\n",
|
|||
|
|
"cv.destroyAllWindows()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 9"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 43,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x800 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x800 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/dc/d0d/tutorial_py_features_harris.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_harris = cv.imread('img/chessboard.jpg')\n",
|
|||
|
|
"gray_harris = cv.cvtColor(img_harris, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"gray_harris = np.float32(gray_harris)\n",
|
|||
|
|
"dst_harris = cv.cornerHarris(gray_harris, 2, 3, 0.04)\n",
|
|||
|
|
"dst_harris = cv.dilate(dst_harris, None)\n",
|
|||
|
|
"img_harris[dst_harris > 0.01 * dst_harris.max()] = [0, 0, 255]\n",
|
|||
|
|
"cv.imwrite('img/harris_corners.png', img_harris)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(8, 8))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img_harris, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Harris Corners\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_subpixel = cv.imread('img/blox.jpg')\n",
|
|||
|
|
"gray_subpixel = cv.cvtColor(img_subpixel, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"gray_subpixel = np.float32(gray_subpixel)\n",
|
|||
|
|
"dst_subpixel = cv.cornerHarris(gray_subpixel, 2, 3, 0.04)\n",
|
|||
|
|
"dst_subpixel = cv.dilate(dst_subpixel, None)\n",
|
|||
|
|
"_, dst_subpixel = cv.threshold(dst_subpixel, 0.01 * dst_subpixel.max(), 255, 0)\n",
|
|||
|
|
"dst_subpixel = np.uint8(dst_subpixel)\n",
|
|||
|
|
"_, labels, stats, centroids = cv.connectedComponentsWithStats(dst_subpixel)\n",
|
|||
|
|
"criteria = (cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_MAX_ITER, 100, 0.001)\n",
|
|||
|
|
"corners = cv.cornerSubPix(gray_subpixel, np.float32(centroids), (5, 5), (-1, -1), criteria)\n",
|
|||
|
|
"res = np.hstack((centroids, corners))\n",
|
|||
|
|
"res = np.intp(res)\n",
|
|||
|
|
"img_subpixel[res[:, 1], res[:, 0]] = [0, 0, 255]\n",
|
|||
|
|
"img_subpixel[res[:, 3], res[:, 2]] = [0, 255, 0]\n",
|
|||
|
|
"cv.imwrite('img/harris_subpixel.png', img_subpixel)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(8, 8))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img_subpixel, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Harris Corners with SubPixel Accuracy\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 45,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x800 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/d4/d8c/tutorial_py_shi_tomasi.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/blox.jpg')\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"corners = cv.goodFeaturesToTrack(gray, 25, 0.01, 10)\n",
|
|||
|
|
"corners = np.intp(corners)\n",
|
|||
|
|
"\n",
|
|||
|
|
"for i in corners:\n",
|
|||
|
|
" x, y = i.ravel()\n",
|
|||
|
|
" cv.circle(img, (x, y), 3, (255, 0, 0), -1)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.imwrite('img/shi_tomasi_corners.png', img)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(8, 8))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Shi-Tomasi Corners\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 46,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x800 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/da/df5/tutorial_py_sift_intro.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/home.jpg')\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"\n",
|
|||
|
|
"sift = cv.SIFT_create()\n",
|
|||
|
|
"kp = sift.detect(gray, None)\n",
|
|||
|
|
"img_with_keypoints = cv.drawKeypoints(gray, kp, None, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cv.imwrite('img/sift_keypoints.jpg', img_with_keypoints)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(8, 8))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img_with_keypoints, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"SIFT Keypoints\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 10"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/coins.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"sift = cv.SIFT_create()\n",
|
|||
|
|
"\n",
|
|||
|
|
"kp, des = sift.detectAndCompute(img, None)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img2 = cv.drawKeypoints(img, kp, None, (255, 0, 0), 4)\n",
|
|||
|
|
"plt.imshow(img2)\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/df/d0c/tutorial_py_fast.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/blox.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"fast = cv.FastFeatureDetector_create()\n",
|
|||
|
|
"kp = fast.detect(img, None)\n",
|
|||
|
|
"img2 = cv.drawKeypoints(img, kp, None, color=(255, 0, 0))\n",
|
|||
|
|
"plt.imshow(img2)\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n",
|
|||
|
|
"fast.setNonmaxSuppression(0)\n",
|
|||
|
|
"kp = fast.detect(img, None)\n",
|
|||
|
|
"img3 = cv.drawKeypoints(img, kp, None, color=(255, 0, 0))\n",
|
|||
|
|
"plt.imshow(img3)\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 12,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"# https://docs.opencv.org/3.4/dc/d7d/tutorial_py_brief.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"def brief_descriptor(image, keypoints, patch_size=31, pairs=256):\n",
|
|||
|
|
" descriptors = []\n",
|
|||
|
|
" for kp in keypoints:\n",
|
|||
|
|
" x, y = int(kp.pt[0]), int(kp.pt[1])\n",
|
|||
|
|
" patch = image[y - patch_size // 2:y + patch_size // 2 + 1,\n",
|
|||
|
|
" x - patch_size // 2:x + patch_size // 2 + 1]\n",
|
|||
|
|
" if patch.shape != (patch_size, patch_size):\n",
|
|||
|
|
" continue\n",
|
|||
|
|
" patch = cv.GaussianBlur(patch, (5, 5), 0)\n",
|
|||
|
|
" desc = []\n",
|
|||
|
|
" for _ in range(pairs):\n",
|
|||
|
|
" p1 = np.random.randint(0, patch_size, 2)\n",
|
|||
|
|
" p2 = np.random.randint(0, patch_size, 2)\n",
|
|||
|
|
" desc.append(1 if patch[p1[0], p1[1]] < patch[p2[0], p2[1]] else 0)\n",
|
|||
|
|
" descriptors.append(desc)\n",
|
|||
|
|
" return np.array(descriptors, dtype=np.uint8)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/blox.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"fast = cv.FastFeatureDetector_create()\n",
|
|||
|
|
"keypoints = fast.detect(img, None)\n",
|
|||
|
|
"descriptors = brief_descriptor(img, keypoints)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img_with_circles = img.copy()\n",
|
|||
|
|
"for kp in keypoints:\n",
|
|||
|
|
" x, y = int(kp.pt[0]), int(kp.pt[1])\n",
|
|||
|
|
" radius = int(kp.size / 2)\n",
|
|||
|
|
" cv.circle(img_with_circles, (x, y), radius, (255, 0, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.imshow(img_with_circles, cmap='gray')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 11"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 1,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"(290, 32)\n",
|
|||
|
|
"Descriptor size: 32 bytes (default for BRIEF)\n",
|
|||
|
|
"Descriptor shape: (290, 32)\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/d1/d89/tutorial_py_orb.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/blox.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"orb = cv.ORB_create()\n",
|
|||
|
|
"kp, des = orb.detectAndCompute(img, None)\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(des.shape)\n",
|
|||
|
|
"print(f\"Descriptor size: {des.shape[1]} bytes (default for BRIEF)\")\n",
|
|||
|
|
"print(f\"Descriptor shape: {des.shape}\")\n",
|
|||
|
|
"img_with_keypoints = cv.drawKeypoints(img, kp, None, color=(255, 0, 0))\n",
|
|||
|
|
"plt.imshow(img_with_keypoints)\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 13,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/dc/dc3/tutorial_py_matcher.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img1 = cv.imread('img/box.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"img2 = cv.imread('img/box_in_scene.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"orb = cv.ORB_create()\n",
|
|||
|
|
"kp1, des1 = orb.detectAndCompute(img1, None)\n",
|
|||
|
|
"kp2, des2 = orb.detectAndCompute(img2, None)\n",
|
|||
|
|
"\n",
|
|||
|
|
"bf = cv.BFMatcher(cv.NORM_HAMMING, crossCheck=True)\n",
|
|||
|
|
"matches = bf.match(des1, des2)\n",
|
|||
|
|
"matches = sorted(matches, key=lambda x: x.distance)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img3 = cv.drawMatches(img1, kp1, img2, kp2, matches[:10], None, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)\n",
|
|||
|
|
"plt.imshow(img3)\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 14,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img1 = cv.imread('img/box.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"img2 = cv.imread('img/box_in_scene.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"sift = cv.SIFT_create()\n",
|
|||
|
|
"kp1, des1 = sift.detectAndCompute(img1, None)\n",
|
|||
|
|
"kp2, des2 = sift.detectAndCompute(img2, None)\n",
|
|||
|
|
"\n",
|
|||
|
|
"bf = cv.BFMatcher()\n",
|
|||
|
|
"matches = bf.knnMatch(des1, des2, k=2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"good_matches = []\n",
|
|||
|
|
"for m, n in matches:\n",
|
|||
|
|
" if m.distance < 0.75 * n.distance:\n",
|
|||
|
|
" good_matches.append([m])\n",
|
|||
|
|
"\n",
|
|||
|
|
"img3 = cv.drawMatchesKnn(img1, kp1, img2, kp2, good_matches, None, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)\n",
|
|||
|
|
"plt.imshow(img3)\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 15,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img1 = cv.imread('img/box.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"img2 = cv.imread('img/box_in_scene.png', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"\n",
|
|||
|
|
"sift = cv.SIFT_create()\n",
|
|||
|
|
"kp1, des1 = sift.detectAndCompute(img1, None)\n",
|
|||
|
|
"kp2, des2 = sift.detectAndCompute(img2, None)\n",
|
|||
|
|
"\n",
|
|||
|
|
"FLANN_INDEX_KDTREE = 1\n",
|
|||
|
|
"index_params = dict(algorithm=FLANN_INDEX_KDTREE, trees=5)\n",
|
|||
|
|
"search_params = dict(checks=50)\n",
|
|||
|
|
"flann = cv.FlannBasedMatcher(index_params, search_params)\n",
|
|||
|
|
"\n",
|
|||
|
|
"matches = flann.knnMatch(des1, des2, k=2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"matchesMask = [[0, 0] for _ in range(len(matches))]\n",
|
|||
|
|
"for i, (m, n) in enumerate(matches):\n",
|
|||
|
|
" if m.distance < 0.7 * n.distance:\n",
|
|||
|
|
" matchesMask[i] = [1, 0]\n",
|
|||
|
|
"\n",
|
|||
|
|
"draw_params = dict(matchColor=(0, 255, 0),\n",
|
|||
|
|
" singlePointColor=(255, 0, 0),\n",
|
|||
|
|
" matchesMask=matchesMask,\n",
|
|||
|
|
" flags=cv.DrawMatchesFlags_DEFAULT)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img3 = cv.drawMatchesKnn(img1, kp1, img2, kp2, matches, None, **draw_params)\n",
|
|||
|
|
"plt.imshow(img3)\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Краткое описание методов:\n",
|
|||
|
|
"\n",
|
|||
|
|
" Brute-Force Matching с ORB:\n",
|
|||
|
|
" Используется Hamming Distance для бинарных дескрипторов.\n",
|
|||
|
|
" Подходит для ORB, BRIEF, BRISK.\n",
|
|||
|
|
"\n",
|
|||
|
|
" Brute-Force Matching с SIFT:\n",
|
|||
|
|
" Используется L2 расстояние для вещественных дескрипторов.\n",
|
|||
|
|
" Применяется knnMatch и тест отношения Дэвида Лоу (Ratio Test).\n",
|
|||
|
|
"\n",
|
|||
|
|
" FLANN Matcher:\n",
|
|||
|
|
" Быстрее для больших наборов данных.\n",
|
|||
|
|
" Использует K-D деревья для вещественных дескрипторов (например, SIFT, SURF).\n",
|
|||
|
|
" Использует LSH для бинарных дескрипторов (например, ORB)."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 16,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/d1/de0/tutorial_py_feature_homography.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"from matplotlib import pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"MIN_MATCH_COUNT = 10\n",
|
|||
|
|
"\n",
|
|||
|
|
"img1 = cv.imread('img/box.png', cv.IMREAD_GRAYSCALE) # queryImage\n",
|
|||
|
|
"img2 = cv.imread('img/box_in_scene.png', cv.IMREAD_GRAYSCALE) # trainImage\n",
|
|||
|
|
"\n",
|
|||
|
|
"sift = cv.SIFT_create()\n",
|
|||
|
|
"\n",
|
|||
|
|
"kp1, des1 = sift.detectAndCompute(img1, None)\n",
|
|||
|
|
"kp2, des2 = sift.detectAndCompute(img2, None)\n",
|
|||
|
|
"\n",
|
|||
|
|
"FLANN_INDEX_KDTREE = 1\n",
|
|||
|
|
"index_params = dict(algorithm=FLANN_INDEX_KDTREE, trees=5)\n",
|
|||
|
|
"search_params = dict(checks=50)\n",
|
|||
|
|
"\n",
|
|||
|
|
"flann = cv.FlannBasedMatcher(index_params, search_params)\n",
|
|||
|
|
"\n",
|
|||
|
|
"matches = flann.knnMatch(des1, des2, k=2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"good = []\n",
|
|||
|
|
"for m, n in matches:\n",
|
|||
|
|
" if m.distance < 0.7 * n.distance:\n",
|
|||
|
|
" good.append(m)\n",
|
|||
|
|
"\n",
|
|||
|
|
"if len(good) > MIN_MATCH_COUNT:\n",
|
|||
|
|
" src_pts = np.float32([kp1[m.queryIdx].pt for m in good]).reshape(-1, 1, 2)\n",
|
|||
|
|
" dst_pts = np.float32([kp2[m.trainIdx].pt for m in good]).reshape(-1, 1, 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
" M, mask = cv.findHomography(src_pts, dst_pts, cv.RANSAC, 5.0)\n",
|
|||
|
|
" matchesMask = mask.ravel().tolist()\n",
|
|||
|
|
"\n",
|
|||
|
|
" h, w = img1.shape\n",
|
|||
|
|
" pts = np.float32([[0, 0], [0, h - 1], [w - 1, h - 1], [w - 1, 0]]).reshape(-1, 1, 2)\n",
|
|||
|
|
" dst = cv.perspectiveTransform(pts, M)\n",
|
|||
|
|
"\n",
|
|||
|
|
" img2 = cv.polylines(img2, [np.int32(dst)], True, 255, 3, cv.LINE_AA)\n",
|
|||
|
|
"else:\n",
|
|||
|
|
" print(f\"Not enough matches are found - {len(good)}/{MIN_MATCH_COUNT}\")\n",
|
|||
|
|
" matchesMask = None\n",
|
|||
|
|
"\n",
|
|||
|
|
"draw_params = dict(matchColor=(0, 255, 0),\n",
|
|||
|
|
" singlePointColor=None,\n",
|
|||
|
|
" matchesMask=matchesMask,\n",
|
|||
|
|
" flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS)\n",
|
|||
|
|
"\n",
|
|||
|
|
"img3 = cv.drawMatches(img1, kp1, img2, kp2, good, None, **draw_params)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.imshow(img3, 'gray')\n",
|
|||
|
|
"plt.axis('off')\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Лаба 12"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 1,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"\n",
|
|||
|
|
"def detectAndDisplay(frame):\n",
|
|||
|
|
" frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
" frame_gray = cv.equalizeHist(frame_gray)\n",
|
|||
|
|
"\n",
|
|||
|
|
" faces = face_cascade.detectMultiScale(frame_gray)\n",
|
|||
|
|
" for (x, y, w, h) in faces:\n",
|
|||
|
|
" center = (x + w // 2, y + h // 2)\n",
|
|||
|
|
" frame = cv.ellipse(frame, center, (w // 2, h // 2), 0, 0, 360, (255, 0, 255), 4)\n",
|
|||
|
|
"\n",
|
|||
|
|
" faceROI = frame_gray[y:y + h, x:x + w]\n",
|
|||
|
|
" eyes = eyes_cascade.detectMultiScale(faceROI)\n",
|
|||
|
|
" for (x2, y2, w2, h2) in eyes:\n",
|
|||
|
|
" eye_center = (x + x2 + w2 // 2, y + y2 + h2 // 2)\n",
|
|||
|
|
" radius = int(round((w2 + h2) * 0.25))\n",
|
|||
|
|
" frame = cv.circle(frame, eye_center, radius, (255, 0, 0), 4)\n",
|
|||
|
|
"\n",
|
|||
|
|
" cv.imshow('Capture - Face detection', frame)\n",
|
|||
|
|
"\n",
|
|||
|
|
"face_cascade = cv.CascadeClassifier()\n",
|
|||
|
|
"eyes_cascade = cv.CascadeClassifier()\n",
|
|||
|
|
"\n",
|
|||
|
|
"face_cascade_name = 'data/haarcascade_frontalface_alt.xml'\n",
|
|||
|
|
"eyes_cascade_name = 'data/haarcascade_eye_tree_eyeglasses.xml'\n",
|
|||
|
|
"\n",
|
|||
|
|
"if not face_cascade.load(cv.samples.findFile(face_cascade_name)):\n",
|
|||
|
|
" print('--(!)Error loading face cascade')\n",
|
|||
|
|
" exit(0)\n",
|
|||
|
|
"if not eyes_cascade.load(cv.samples.findFile(eyes_cascade_name)):\n",
|
|||
|
|
" print('--(!)Error loading eyes cascade')\n",
|
|||
|
|
" exit(0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"cap = cv.VideoCapture(0)\n",
|
|||
|
|
"if not cap.isOpened():\n",
|
|||
|
|
" print('--(!)Error opening video capture')\n",
|
|||
|
|
" exit(0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"while True:\n",
|
|||
|
|
" ret, frame = cap.read()\n",
|
|||
|
|
" if frame is None:\n",
|
|||
|
|
" print('--(!) No captured frame -- Break!')\n",
|
|||
|
|
" break\n",
|
|||
|
|
"\n",
|
|||
|
|
" detectAndDisplay(frame)\n",
|
|||
|
|
"\n",
|
|||
|
|
" if cv.waitKey(1) & 0xFF == ord('q'): # Нажмите 'q' для выхода\n",
|
|||
|
|
" break\n",
|
|||
|
|
"\n",
|
|||
|
|
"cap.release()\n",
|
|||
|
|
"cv.destroyAllWindows()\n",
|
|||
|
|
"\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"attachments": {
|
|||
|
|
"image.png": {
|
|||
|
|
"image/png": "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
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
""
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x1000 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/d6/d10/tutorial_py_houghlines.html\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/sudoku.png')\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"edges = cv.Canny(gray, 50, 150, apertureSize=3)\n",
|
|||
|
|
"\n",
|
|||
|
|
"lines = cv.HoughLines(edges, 1, np.pi / 180, 200)\n",
|
|||
|
|
"for line in lines:\n",
|
|||
|
|
" rho, theta = line[0]\n",
|
|||
|
|
" a = np.cos(theta)\n",
|
|||
|
|
" b = np.sin(theta)\n",
|
|||
|
|
" x0 = a * rho\n",
|
|||
|
|
" y0 = b * rho\n",
|
|||
|
|
" x1 = int(x0 + 1000 * (-b))\n",
|
|||
|
|
" y1 = int(y0 + 1000 * (a))\n",
|
|||
|
|
" x2 = int(x0 - 1000 * (-b))\n",
|
|||
|
|
" y2 = int(y0 - 1000 * (a))\n",
|
|||
|
|
" cv.line(img, (x1, y1), (x2, y2), (0, 0, 255), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 10))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Hough Lines\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x1000 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/sudoku.png')\n",
|
|||
|
|
"gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)\n",
|
|||
|
|
"edges = cv.Canny(gray, 50, 150, apertureSize=3)\n",
|
|||
|
|
"\n",
|
|||
|
|
"lines = cv.HoughLinesP(edges, 1, np.pi / 180, 100, minLineLength=100, maxLineGap=10)\n",
|
|||
|
|
"for line in lines:\n",
|
|||
|
|
" x1, y1, x2, y2 = line[0]\n",
|
|||
|
|
" cv.line(img, (x1, y1), (x2, y2), (0, 255, 0), 2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(10, 10))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(img, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Probabilistic Hough Lines\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n",
|
|||
|
|
"\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 6,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAnwAAAKSCAYAAABIowakAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACVU0lEQVR4nOzdd5wkVbk38N+pqo6T88zmwC4L7LJLDgtLFhREkCCgKAYUhavgRX0FE2JGRUQviAG9IFevAgooKJcgBkCWzAZYdpeFDZN3QvfMdKg67x81p6a6p7unJ3Sc33c/89mu6uruMz3dXU+fc57zCCmlBBERERGVLa3QDSAiIiKi3GLAR0RERFTmGPARERERlTkGfERERERljgEfERERUZljwEdERERU5hjwEREREZU5BnxEREREZY4BHxEREVGZY8BHRATg+OOPx/HHHz+j9/nLX/4SQgi88cYbM3J/b7zxBoQQ+OUvfzkj90dEswcDPqJZQgUf6sfv92POnDk49dRT8cMf/hCDg4NTvu+NGzfiK1/5yowFNun861//wle+8hX09fXl9HEmYpombr/9dhx//PGor6+Hz+fDokWL8MEPfhDr168vaNuIiFJhwEc0y3z1q1/FHXfcgVtuuQX/8R//AQC48sorsWrVKrz00ktTus+NGzfiuuuuy0vAd9111xU04BseHsYZZ5yBD33oQ5BS4pprrsEtt9yC97///XjyySdx+OGHY+fOnQCAiy++GMPDw1i4cGHB2ktEBABGoRtARPn19re/HYceeqiz/fnPfx6PPvoozjjjDJx55pnYtGkTAoFAAVtY3D7zmc/goYcewo033ogrr7wy4bovf/nLuPHGG51tXdeh63rG+5NSYmRkhM85EeUUe/iICCeeeCK++MUvYseOHbjzzjsTrtu8eTPOPfdc1NfXw+/349BDD8V9993nXP/LX/4S5513HgDghBNOcIaMH3/8ceeYBx98EMceeywqKipQVVWF008/HRs2bBjXjs2bN+P8889HU1MTAoEA9t13X1x77bUAgK985Sv4zGc+AwBYvHix8zjuXsU777wThxxyCAKBAOrr63HBBRfgrbfeGvc4t912G5YuXYpAIIDDDz8cf//737N6nnbu3Imf/OQnOOWUU8YFe4Ad4F199dWYN2+e89wkt3HRokU444wz8Je//AWHHnooAoEAfvKTnwAA+vr6cNVVV2HRokXw+XyYN28e3v/+96O7uztjuyb6GwFALBbDddddh2XLlsHv96OhoQHHHHMMHn744ax+dyIqbQz4iAiAPfwIAH/961+dfRs2bMCRRx6JTZs24f/9v/+H733ve6ioqMBZZ52Fe++9FwCwbt06fPKTnwQAXHPNNbjjjjtwxx13YL/99gMA3HHHHTj99NNRWVmJb3/72/jiF7+IjRs34phjjkkIhF566SUcccQRePTRR3HppZfipptuwllnnYX7778fAPDud78bF154IQDgxhtvdB6nqakJAPD1r38d73//+7Fs2TJ8//vfx5VXXolHHnkE69atSxgC/vnPf46PfexjaG1txXe+8x2sXbsWZ555ZsrAMNmDDz6IeDzuPFdT9eqrr+LCCy/EKaecgptuuglr1qxBKBTCsccei5tvvhlve9vbcNNNN+Gyyy7D5s2bnSHiVLL5GwF2wHzdddfhhBNOwI9+9CNce+21WLBgAZ577rlp/S5EVCIkEc0Kt99+uwQgn3nmmbTH1NTUyIMOOsjZPumkk+SqVavkyMiIs8+yLHn00UfLZcuWOft+97vfSQDyscceS7i/wcFBWVtbKy+99NKE/e3t7bKmpiZh/7p162RVVZXcsWNHwrGWZTmXb7jhBglAbt++PeGYN954Q+q6Lr/+9a8n7H/55ZelYRjO/mg0Kpubm+WaNWtkJBJxjrvtttskAHncccelfW6klPKqq66SAOTzzz+f8ThFPefu9i5cuFACkA899FDCsV/60pckAHnPPfeMux/1HGzfvl0CkLfffrtzXbZ/o9WrV8vTTz89q3YTUflhDx8ROSorK51s3d7eXjz66KM4//zzMTg4iO7ubnR3d6OnpwennnoqtmzZgl27dmW8v4cffhh9fX248MILndt3d3dD13UcccQReOyxxwAAXV1deOKJJ/ChD30ICxYsSLgPIcSE7b7nnntgWRbOP//8hMdpbW3FsmXLnMdZv349Ojs7cdlll8Hr9Tq3v+SSS1BTUzPh4wwMDAAAqqqqJjw2k8WLF+PUU09N2Hf33Xdj9erVOPvss8cdn+45mMzfqLa2Fhs2bMCWLVum1XYiKk1M2iAiRygUQnNzMwDg9ddfh5QSX/ziF/HFL34x5fGdnZ2YO3du2vtTwcWJJ56Y8vrq6moAwLZt2wAAK1eunFK7t2zZAiklli1blvJ6j8cDANixYwcAjDvO4/FgyZIlEz6Oau90lrAB7IAv2datW3HOOedM6n4m8zf66le/ine9611Yvnw5Vq5cidNOOw0XX3wxDjzwwCn9DkRUWhjwEREAOyGhv78f++yzDwDAsiwAwNVXXz2uN0pRx6aj7uOOO+5Aa2vruOsNY2Y+gizLghACDz74YMqs2MrKyhl5nBUrVgAAXn75ZaxZs2bK9zNTGbmT+RutW7cOW7duxR//+Ef89a9/xc9+9jPceOONuPXWW/GRj3xkRtpDRMWLAR8RAbCDMgBO4KB6vDweD04++eSMt0035Lh06VIAQHNzc8b7UI/1yiuvTPlxpJRYvHgxli9fnvb2aj28LVu2JPQ6xmIxbN++HatXr874+G9/+9uh6zruvPPOaSduJFu6dOmEv3+yyfyNAKC+vh4f/OAH8cEPfhChUAjr1q3DV77yFQZ8RLMA5/ARER599FFcf/31WLx4Md773vcCsIO0448/Hj/5yU+wZ8+ecbfp6upyLldUVADAuAWRTz31VFRXV+Mb3/gGYrFY2vtoamrCunXr8Itf/AJvvvlmwjFSygkf593vfjd0Xcd1112XcLy6fU9PDwDg0EMPRVNTE2699VZEo1HnmF/+8pdZLeY8f/58XHrppfjrX/+Km2++edz1lmXhe9/7Xsas2nTOOeccvPjiiwmZte7fIZXJ/I3Uc6BUVlZin332QSQSmXRbiaj0sIePaJZ58MEHsXnzZsTjcXR0dODRRx/Fww8/jIULF+K+++6D3+93jv3xj3+MY445BqtWrcKll16KJUuWoKOjA08++SR27tyJF198EQCwZs0a6LqOb3/72+jv74fP58OJJ56I5uZm3HLLLbj44otx8MEH44ILLkBTUxPefPNN/OlPf8LatWvxox/9CADwwx/+EMcccwwOPvhgfPSjH8XixYvxxhtv4E9/+hNeeOEFAMAhhxwCALj22mtxwQUXwOPx4J3vfCeWLl2Kr33ta/j85z+PN954A2eddRaqqqqwfft23HvvvfjoRz+Kq6++Gh6PB1/72tfwsY99DCeeeCLe8573YPv27bj99tuzmsMHAN/73vewdetWfPKTn8Q999yDM844A3V1dXjzzTfxu9/9Dps3b8YFF1ww6b/LZz7zGfz+97/Heeedhw996EM45JBD0Nvbi/vuuw+33npr2t7HbP9G+++/P44//ngccsghqK+vx/r16/H73/8eV1xxxaTbSkQlqHAJwkSUT2qJEPXj9Xpla2urPOWUU+RNN90kBwYGUt5u69at8v3vf79sbW2VHo9Hzp07V55xxhny97//fcJxP/3pT+WSJUukruvjlmh57LHH5Kmnnipramqk3++XS5culZdccolcv359wn288sor8uyzz5a1tbXS7/fLfffdV37xi19MOOb666+Xc+fOlZqmjVvy5O6775bHHHOMrKiokBUVFXLFihXy8ssvl6+++mrCffzXf/2XXLx4sfT5fPLQQw+VTzzxhDzuuOMmXJZFicfj8mc/+5k89thjZU1NjfR4PHLhwoXygx/8YMKSLemWZUm3PEpPT4+84oor5Ny5c6XX65Xz5s2TH/jAB2R3d7eUMvWyLFJm9zf62te+Jg8//HBZW1srA4GAXLFihfz6178uo9FoVr8zEZU
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x800 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"#https://docs.opencv.org/3.4/da/d53/tutorial_py_houghcircles.html\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import cv2 as cv\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.imread('img/geometric_shapes.jpg', cv.IMREAD_GRAYSCALE)\n",
|
|||
|
|
"assert img is not None, \"Image could not be read. Check the file path.\"\n",
|
|||
|
|
"\n",
|
|||
|
|
"img = cv.medianBlur(img, 5)\n",
|
|||
|
|
"cimg = cv.cvtColor(img, cv.COLOR_GRAY2BGR)\n",
|
|||
|
|
"\n",
|
|||
|
|
"circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, 20,\n",
|
|||
|
|
" param1=50, param2=30, minRadius=0, maxRadius=0)\n",
|
|||
|
|
"\n",
|
|||
|
|
"if circles is not None:\n",
|
|||
|
|
" circles = np.uint16(np.around(circles))\n",
|
|||
|
|
" for i in circles[0, :]:\n",
|
|||
|
|
" cv.circle(cimg, (i[0], i[1]), i[2], (0, 255, 0), 2) # Draw the circle\n",
|
|||
|
|
" cv.circle(cimg, (i[0], i[1]), 2, (0, 0, 255), 3) # Draw the center\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(8, 8))\n",
|
|||
|
|
"plt.imshow(cv.cvtColor(cimg, cv.COLOR_BGR2RGB))\n",
|
|||
|
|
"plt.title(\"Detected Circles\")\n",
|
|||
|
|
"plt.axis(\"off\")\n",
|
|||
|
|
"plt.show()\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": ".venv",
|
|||
|
|
"language": "python",
|
|||
|
|
"name": "python3"
|
|||
|
|
},
|
|||
|
|
"language_info": {
|
|||
|
|
"codemirror_mode": {
|
|||
|
|
"name": "ipython",
|
|||
|
|
"version": 3
|
|||
|
|
},
|
|||
|
|
"file_extension": ".py",
|
|||
|
|
"mimetype": "text/x-python",
|
|||
|
|
"name": "python",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "ipython3",
|
|||
|
|
"version": "3.10.11"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 2
|
|||
|
|
}
|