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number-plate
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itqop 13898eda38 feat: add static-test.ipynb and img folder with test images 
- Added `static-test.ipynb`, a Jupyter Notebook for testing the license plate recognition system on static images. The notebook demonstrates:
  - Loading and preprocessing of test images.
  - Inference using the YOLO and CRNN models.
  - Visualization of detection results.

- Added the `img` folder containing test images of vehicles with license plates for validation and demonstration purposes.

These additions provide a comprehensive framework for testing and showcasing the system's capabilities on pre-captured images.
 		2025-01-15 05:46:33 +03:00
img feat: add static-test.ipynb and img folder with test images 2025-01-15 05:46:33 +03:00
models Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
.gitignore Initial commit 2025-01-15 02:43:04 +01:00
LICENSE Initial commit 2025-01-15 02:43:04 +01:00
README.md Initial commit 2025-01-15 02:43:04 +01:00
__init__.py Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
config.py Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
license_plate_recognizer.py Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
main.py Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
model.py Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
requirements.txt Initial commit: Add complete project files to the repository 2025-01-15 05:14:27 +03:00
static-test.ipynb feat: add static-test.ipynb and img folder with test images 2025-01-15 05:46:33 +03:00
train_crnn.ipynb feat: add train_crnn.ipynb for CRNN model training 2025-01-15 05:45:32 +03:00

README.md

number-plate

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