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.

Prerequisites

• Fast.ai library
  
• Dlib
  
• OpenCV
  
• python3.7+

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