Detects the following facial emotions - angry, disgust, fear, happy, sad, surprise, neutral - using fer2013 datasets with a keras CNN model and openCV. Accuracy: 66%
- python 3
- cv2
- Tensorflow 2
Download pre-trained emotion detection model, caffemodel and prototxt in models for model inferences.
To get results in images, use
facial_emotion.process(image_path)
To get results in real-time and in video feeds, use
facial_emotion.real_time_feed(video_path)
