vijulshah/eyedentify
This project provides an end-to-end solution for pupil diameter estimation using accessible hardware (like webcams) and deep learning techniques.
This project helps researchers and scientists accurately measure pupil diameter from standard webcam videos. You provide video recordings of a person's eye, and it outputs precise pupil diameter measurements. This tool is ideal for neuroscientists, psychologists, and human-computer interaction researchers studying cognitive states or physiological responses.
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Use this if you need to analyze pupil diameter changes from readily available webcam footage for research into attention, cognitive load, or emotional responses.
Not ideal if you require real-time, high-precision clinical eye tracking data for medical diagnostics, which typically demands specialized hardware.
Stars
11
Forks
1
Language
Python
License
—
Category
Last pushed
Dec 09, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/vijulshah/eyedentify"
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