README.md

YOLOX

Input

(Image from https://pixabay.com/ja/photos/%E3%83%AD%E3%83%B3%E3%83%89%E3%83%B3%E5%B8%82-%E9%8A%80%E8%A1%8C-%E3%83%AD%E3%83%B3%E3%83%89%E3%83%B3-4481399/)

Ailia input shape: (1, 3, 416, 416), (1, 3, 640, 640)

Output

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 yolox.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 yolox.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 yolox.py --video VIDEO_PATH

The default setting is to use the optimized model and weights, but you can also switch to the normal model by using the --normal option.

Reference

YOLOX

Framework

Pytorch

Model Format

ONNX opset = 11

Netron

yolox_nano.opt.onnx.prototxt

yolox_tiny.opt.onnx.prototxt

yolox_s.opt.onnx.prototxt

yolox_m.opt.onnx.prototxt

yolox_l.opt.onnx.prototxt

yolox_darknet.opt.onnx.prototxt

yolox_x.opt.onnx.prototxt