README.md

Posenet

Input

(Image from https://pixabay.com/ja/photos/%E5%A5%B3%E3%81%AE%E5%AD%90-%E7%BE%8E%E3%81%97%E3%81%84-%E8%8B%A5%E3%81%84-%E3%83%9B%E3%83%AF%E3%82%A4%E3%83%88-5204299/)

Input shape : (1, 3, 240, 320)
Range : [0, 255]

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 posenet.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 posenet.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 posenet.py --video VIDEO_PATH

Also you can set detection threshold by adding the --threshold-pose and --threshold-part option. Default threshold-pose value is 0.15 , threshold-pose value 0.1.

$ python3 posenet.py --threshold-pose 0.15 --threshold-pose 0.1

You can select a pretrained model by specifying -a 50, 75 ,100 or 101(default).

Reference

PoseNet Pytorch

Framework

Pytorch 1.13

Model Format

ONNX opset=14

Netron

posenet_50.prototxt

posenet_75.prototxt

posenet_100.prototxt

posenet_101.prototxt