YOLOv4 的 Keras 实现（Tensorflow 后端）.zip

# keras-yolo4 [](LICENSE) # 请使用更完善的版本: # [https://github.com/miemie2013/Keras-YOLOv4](https://github.com/miemie2013/Keras-YOLOv4) # Please visit here for more complete model: # [https://github.com/miemie2013/Keras-YOLOv4](https://github.com/miemie2013/Keras-YOLOv4) ## Introduction A Keras implementation of YOLOv4 (Tensorflow backend) inspired by [https://github.com/AlexeyAB/darknet](https://github.com/AlexeyAB/darknet). Frame code from [https://github.com/qqwweee/keras-yolo3](https://github.com/qqwweee/keras-yolo3).  --- ## Quick Start 1. Download YOLOv4 weights from [yolov4.weights](https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT). 2. Convert the Darknet YOLOv4 model to a Keras model. 3. Run YOLOv4 detection. ``` python convert.py ``` Running convert.py will get keras yolov4 weight file yolo4_weight.h5. ### Usage Inference ``` python test.py ``` --- ### Todo Debug train code with CIoU loss. Loss code from [https://github.com/david8862/keras-YOLOv3-model-set](https://github.com/david8862/keras-YOLOv3-model-set).