Emotion and Real-Time-Emotion-Detection-with-OpenCV-DeepFace
About Emotion
petercunha/Emotion
:smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.
This tool helps researchers, marketers, or anyone analyzing human behavior to automatically identify facial expressions and corresponding emotions from live video or recorded footage. You feed it a video stream (like a webcam or a pre-recorded file), and it tells you what emotions are being displayed by people in the frame. This is ideal for quickly gauging audience reactions or studying non-verbal cues.
About Real-Time-Emotion-Detection-with-OpenCV-DeepFace
Shayanthn/Real-Time-Emotion-Detection-with-OpenCV-DeepFace
This project is a real-time facial emotion recognition system using OpenCV, Mediapipe, and DeepFace. It captures video from a webcam, detects facial landmarks, and analyzes emotions in real-time using deep learning models.
This system helps professionals in fields like market research, UX design, or behavioral science to understand audience reactions by analyzing facial expressions in real-time. It takes live video from a webcam, processes facial movements, and displays detected emotions like happiness, sadness, or anger on-screen with probabilities. This is for researchers, analysts, or content creators who need immediate feedback on emotional responses.
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