PixelLook

Multi platform gaze detector based on It's Written All Over Your Face [1] article.

Includes:

1. Drawing app - draw dots with your eyes
2. Data Collection - saves all pixels looked in a csv file
3. Screen capture - creates video of your screen with mark on the gazed area.
4. Library API - a simple API to use this project to make you own gaze-based app

Mac

Linux

Webcam requriements

1. at least 720p resolution
2. located in the top center of the screen

Using The API

The api made simple as possible. for example:

from PixeLook import PixeLook

def __main__():
# step 1: get parameters from config file
    configuration()
# step 2: create PixeLook
    my_px_gt = PixeLook_from_config(config['settings'])
# step 3: calibrate 
    my_px_gt.calibrate()
# step 4: use the app as defined mode
    if mode == "dots":
        my_px_gt.draw_live()
    elif mode == "screenshots":
        my_px_gt.start_screen_shots(post=post, webcam=webcam)
    elif mode == "none":
        my_px_gt.run_in_background(post=post)

Running the demo

1. Download repo

git clone https://github.com/araddor1/ReadHelper.git

2. Install requriements:

pip install -r requirements.txt

3. Edit the config.txt file (explenation inside)

4. Run demo.py

python Demo.py

5.Enjoy!

A hebrew manual can be found in https://tinyurl.com/yalnpf2u

References

• [1] Zhang, Xucong, Yusuke Sugano, Mario Fritz, and Andreas Bulling. "It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation." Proc. of the IEEE Conference on Computer Vision and Pattern Recognition Workshops(CVPRW), 2017. arXiv:1611.08860, Project Page
• [2] Zhang, Xucong, Yusuke Sugano, Mario Fritz, and Andreas Bulling. "MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation." IEEE transactions on pattern analysis and machine intelligence 41 (2017). arXiv:1711.09017
• [3] Full-Face net Implemention on with smaller net - https://github.com/glefundes/mobile-face-gaze