YOLOv3 and YOLOv4 implementation in TensorFlow 2.x, with support for training, transfer training, object tracking mAP and so on... Code was tested with following specs:
- R5 5600X CPU and Nvidia RTX 3080 GPU
- OS Windows 11
- CUDA 11.7
- cuDNN v11.8
- Tensorflow-GPU 2.9.2
- Code was tested on only Windows 11
- You need custom_dataset to train the code (it's not an open source sorry T.T)
First, clone or download this GitHub repository. Install requirements:
pip install -r ./requirements.txt
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