A Keras implementation of YOLOv4 (Tensorflow backend) inspired by https://github.com/AlexeyAB/darknet.

Frame code from https://github.com/qqwweee/keras-yolo3.

1. Download YOLOv4 weights from yolov4.weights.
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.

Inference

python test.py

Debug train code with CIoU loss. Loss code from https://github.com/david8862/keras-YOLOv3-model-set.