facial-expression-recognition-using-cnn and Facial_Expression_Recognition
These are competitors: both implement standalone CNN-based facial expression recognition systems using different frameworks (TensorFlow/OpenCV vs. Keras), targeting the same use case without meaningful integration points.
About facial-expression-recognition-using-cnn
amineHorseman/facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
Combines raw pixel data with dlib face landmarks and HOG features as CNN inputs, demonstrating that auxiliary features improve accuracy on the challenging FER2013 dataset. Implements two CNN architectures with batch normalization, achieving 75.1% on 5-expression classification and supporting hyperparameter optimization via Hyperopt. Includes preprocessing pipeline for face detection via OpenCV and real-time inference from video/camera streams.
About Facial_Expression_Recognition
XiaoSanchez/Facial_Expression_Recognition
Convolutional Neural Network in Keras Recognize Facial Expressions
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