Skip to content

Latest commit

 

History

History
31 lines (25 loc) · 1.38 KB

README.md

File metadata and controls

31 lines (25 loc) · 1.38 KB
Raw

Real-time Emotion Monitor using Webcam

Monitoring your emotions in real-time using webcam and trigger alarm sounds when your stress level is high. It can be used con-currently with Zoom or Google Meet Video Conference.
Simple stress-management tool for WFH.

results

Prerequisites

Detect facial expression from live video

  1. Install all the above prerequisites and python packages listed in the requirements.txt file
  2. In the liveVideoFrameRead.py file, set variable path= to your project directory.
  3. run python liveVideoFrameRead.py , with the following optional tags.

Additional tags:
--save-video to save webcam video to the output folder
--save-csv to save expression predictions, their probability tensor to a csv file
--camera_id 1 to set the webcam id, default to 1 for MacBook
--low-fps to lower frame refresh rate to reduce the amount of real-time computation

Example:

  • python liveVideoFrameRead.py --save-csv --low-fps will run webcam at low fps rate and save the prediction results to a CSV file to the output folder.

Reference

https://github.com/jy6zheng/FacialExpressionRecognition