Easy and Fast Facial Emotion Monitoring
Project description
Fast Facial Emotion Monitoring (FFEM)
This package provides a simple and efficient way to perform Facial Emotion Recognition (FER). It leverages advanced techniques and algorithms to detect and classify emotions from facial expressions.
Main Function
MonitorEmotion_From_Video(video_path: str | int, output_path:str) -> None
This function takes a video file or a webcam feed as input and performs FER. The results are saved to the specified output path.
Main Class
FaceEmotion_Detection()
This class is the backbone of the FER process. It performs face detection and emotion recognition using DeepFace and MediaPipe. TheMonitorEmotion_From_Video
function utilizes this class to carry out its operations.
This package is designed with user-friendliness in mind, making the complex task of FER accessible and straightforward for users. Whether you’re a researcher, a developer, or someone interested in FER, this package can be a valuable tool for your projects.
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FFEM-0.1.tar.gz
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FFEM-0.1-py3-none-any.whl
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