Skip to content

Latest commit

 

History

History
6 lines (4 loc) · 564 Bytes

README.md

File metadata and controls

6 lines (4 loc) · 564 Bytes

Emotion-Detector

Categorized emotion of person from webcam feed or video file input into seven different basic emotions using convolutional neural network. On the webcam feed, used Haar Cascade frontal face for face detection and then passed the bounding box into a ConvNet model for detection. Gave output as a video with detected emotion written below, using tkinter for GUI in selecting input method, and output file directory

Dataset used in this project can be obtained from the below link

https://www.kaggle.com/datasets/ananthu017/emotion-detection-fer