vehicle recognition

YOLO v3 를 사용한 차량, 번호판 인식

Contents

1. Background
2. Install
3. Maintainers
4. Contributing
5. License

Install

• windows
  • CUDA9, cuDNN
• python=3.6
  • keras=2.1.5
  • tensorflow=1.9
  • opencv
  • matplotlib
  • pillow
  • pydot
  • graphviz

1. Data setting
   1. Download keras-yolo3
   2. Add ./CarPlate_dataset
   3. Run voc_annotation.py
2. Train
   1. Add ./yolov3.weights YOLOv3-416 weights
   2. Run python convert.py yolov3.cfg yolov3.weights model_data/yolo.h5
   3. Run python train.py
   4. Move result ./logs -> ./model_data/yolo.h5
3. Run
   1. Run python yolo_video.py --image

Dependencies

GPU : (GTX 1060 3GB), 100 epoch, 230 train

Maintainers

@gotoERROR00111011.

Contributing

Contributors

License

MIT License