justinshenk/fer
A Python package for detecting facial expressions and emotions in images and videos using a deep neural network.
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This repository provides a facial expression recognition library that uses deep neural networks to detect emotions from facial images and videos. It wraps TensorFlow and OpenCV to offer a simple API for emotion detection, returning bounding boxes and emotion probabilities (angry, disgust, fear, happy, neutral, sad, surprise). The package can be installed via pip and supports both static image analysis and video processing.
Frequently asked
- What is justinshenk/fer?
- A Python package for detecting facial expressions and emotions in images and videos using a deep neural network.
- Is fer open source?
- Yes — justinshenk/fer is open source, released under the MIT license.
- What language is fer written in?
- justinshenk/fer is primarily written in Jupyter Notebook.
- How popular is fer?
- justinshenk/fer has 427 stars on GitHub.
- Where can I find fer?
- justinshenk/fer is on GitHub at https://github.com/justinshenk/fer.