amineHorseman/facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
This project helps you automatically detect and categorize human facial expressions like 'angry,' 'happy,' or 'sad' from images or live video. It processes facial imagery to output the dominant emotion, making it useful for analyzing emotional responses. Anyone working with visual data that needs to understand emotional cues can use this.
511 stars. No commits in the last 6 months.
Use this if you need to automatically identify and classify emotional expressions from static images or real-time camera feeds.
Not ideal if you require highly nuanced or personalized emotion analysis beyond the seven basic categories.
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Language
Python
License
GPL-3.0
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Last pushed
Jun 10, 2023
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