blazeface

BlazeFace

input

(Image from https://search.creativecommons.org/photos/df3a19c2-47ca-4f58-8aed-0dc62e89e9e9)

Image credit: "Day 21 Occupy Wall Street October 6 2011 Shankbone 6" by david_shankbone is marked under CC PDM 1.0. To view the terms, visit https://creativecommons.org/publicdomain/mark/1.0/

Ailia input shape: (1, 3, 128, 128)
Range: [-1, 1]

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 blazeface.py 

If you want to use the blazefaceback model, add the --back or -b option.
You can find details in the reference.
To summarize, blazefaceback is the model that is trained to match the back-facing camera.

$ python3 blazeface.py --back

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 blazeface.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 blazeface.py --video VIDEO_PATH --savepath SAVE_VIDEO_PATH

Reference

BlazeFace-PyTorch

Framework

PyTorch 1.1

Model Format

ONNX opset = 10

Netron

blazeface.onnx.prototxt