l2cs_net

L2CS-Net : gaze estimation and tracking.

Input

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/

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 l2cs_net.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 l2cs_net.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 l2cs_net.py --video VIDEO_PATH

Reference

L2CS-Net

Framework

Pytorch = 1.9

Model Format

ONNX opset = 9

Netron

l2cs.opt.prototxt

retinaface_resnet50.onnx.prototxt