blazepalm

BlazePalm

Input

(Image from https://pixabay.com/photos/person-human-woman-young-body-3929040/)

• ailia input shape: (1, 3, 256, 256) RGB channel order
• Pixel value range: [0, 1]

Output

• ailia Predict API output:
  • Bounding boxes and keypoints
    • Shape: (1, 2944, 18)
  • Classification confidences
    • Shape: (1, 2944, 1)
• With helper functions, filtered detections with keypoints can be obtained.

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 blazepalm.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 blazepalm.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 blazepalm.py --video VIDEO_PATH --savepath SAVE_VIDEO_PATH

Reference

• MediaPipePyTorch
• MediaPipe Hands

Framework

PyTorch 1.7.1

Model Format

ONNX opset = 11

Netron

blazepalm.onnx.prototxt