Pytorch-YOLOv4

A minimal PyTorch implementation of YOLOv4.

• Paper Yolo v4: https://arxiv.org/abs/2004.10934

• Source code:https://github.com/AlexeyAB/darknet

• More details: http://pjreddie.com/darknet/yolo/

• Inference

• Train

Weight

• baidu(https://pan.baidu.com/s/1dAGEW8cm-dqK14TbhhVetA Extraction code:dm5b)
• google(https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT)

Inference

• download model weight https://drive.google.com/open?id=1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT

python demo.py cfgfile weightfile imgfile

• Convolution weight reshape
• Mish activation
• route number > 2
• Maxpooling
• yololayer

Reference:

• https://github.com/eriklindernoren/PyTorch-YOLOv3
• https://github.com/marvis/pytorch-caffe-darknet-convert
• https://github.com/marvis/pytorch-yolo3

@article{yolov4,
  title={YOLOv4: YOLOv4: Optimal Speed and Accuracy of Object Detection},
  author={Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao},
  journal = {arXiv},
  year={2020}
}