Facial expression detection using PyCharm and Machine Learning
Facial Emotion Recognition Project
Overview This project aims to recognize facial emotions from images or videos using deep learning techniques. It utilizes computer vision methods to detect and classify emotions based on facial expressions.
Features Facial Detection: Detects faces in images or videos. Emotion Classification: Classifies emotions (e.g., happy, sad, angry) based on facial expressions. Real-time Processing: Capable of processing frames in real-time for live video analysis. Model Customization: Easily replace or fine-tune the emotion recognition model with your own data or architecture.
Requirements PyCharm Data
Install dependencies: Copy code pip install scikit-learn==1.4.0 pip install mediapipe==0.10.9 pip install opencv-python==4.9.0.80 pip install numpy==1.26.3
License This project is licensed under the MIT License - see the LICENSE file for details.