bytetrack

ByteTrack

Input

(Video from https://vimeo.com/60139361)

Output

Requirements

This model requires additional module.

pip3 install lap

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 video,

$ python3 bytetrack.py

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

$ python3 bytetrack.py --video VIDEO_PATH --savepath SAVE_FILE_PATH

By adding the --model_type option, you can specify model type which is selected from below. (default is mot17_x)

• mot17_x (800x1440)
• mot17_s (608x1088)
• mot17_tiny (416x416)
• mot20_x (896x1600)
• yolox_s (640x640)
• yolox_tiny (416x416)

The values in parentheses represent the size of the image given to the model.
The models whose names start with "yolox" are pure models from yolox. On the other hand, the models starting with "mot" are fine-tuned models based on the yolox model.

$ python3 bytetrack.py --model_type mot17_x

Reference

• ByteTrack

Framework

Pytorch

Model Format

ONNX opset=11

Netron

bytetrack_x_mot17.onnx.prototxt
bytetrack_x_mot20.onnx.prototxt