An application that detects human facial emotions from a video. The application presents a time-series emotional analysis of the subject in the video. The emotions predicted by the application were 71% times accurate.
- Python3
- Numpy
- Pandas
- Matplotlib
- OpenCV
- Keras
Download or clone the repository. Extract the zip file into a folder of your choice. Then add the video to be evaluated in the folder VideoEmotionClassifier-master. In main.py replace 'Test1.mp4' with the name of your video in line 30. Then install all the dependecies using pip and in command prompt or terminal run the main.py file using the command "python3 main.py"