--save to save the video with predictions and landmarking
--savedata to save CSV file with expression predictions, their probability tensor, and eye aspect ratio ## Detect facial expression from video file run "python videoFrameRead.py --video-file [your video file.mov]" where the video file needs to be in current directory ### Additional tags: --frame-step the frame rate at which predictions are made, default was set to 10 frames
--save to save video with predictions and landmarking
--savedata to save csv file with expression predictions, their probability tensor and eye aspect ratio ## environment virtualenv mirror mirror\Scripts\activate (windows) source mirror/bin/activate py -m pip install -r requirements.txt pip install -r requirements.txt # videoFeatures