GitHub / ImanNoferesti / Emotion_AI_Python
Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ImanNoferesti%2FEmotion_AI_Python
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 56.9 MB
Dependencies parsed at: Pending
Created at: 8 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 21 days ago
Topics: automated-monitoring, computer-vision, convolutional-neural-networks, data-normalization, data-scaling, dataset-visualization, deep-learning, emotion-classification, emotion-detection, expression-recognition, facial-expressions, facial-key-point-detection, image-augmentation, image-processing, key-point-prediction, model-deployment, model-training, residual-blocks, resnet, tensorflow-serving