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https://github.com/waasiq/icare
A real time emotion detection python application.
https://github.com/waasiq/icare
computer-vision emotion-recognition mediapipe opencv python
Last synced: about 3 hours ago
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A real time emotion detection python application.
- Host: GitHub
- URL: https://github.com/waasiq/icare
- Owner: waasiq
- License: mit
- Created: 2021-11-04T14:07:03.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-17T10:52:00.000Z (over 2 years ago)
- Last Synced: 2024-05-02T06:00:07.191Z (7 months ago)
- Topics: computer-vision, emotion-recognition, mediapipe, opencv, python
- Language: Python
- Homepage: https://waasiq.github.io/icare/
- Size: 24.7 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# iCare
iCare is a python application which makes use of your webcam in order to detect the emotion on your face. iCare uses modules from [MediaPipe](https://google.github.io/mediapipe/) and [OpenCV](https://opencv.org/). Detection of emotions is done mathematically by calculating difference between various specific points for each emotion.
## Installation
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install OpenCV and MediaPipe.
```bash
pip install opencv-python
pip install mediapipe
```## Documentation
Please access the documentation at the link.
## Usage
Run the iCareProject\emotions.py for starting the detection.
Individual modules can also be run using the specific module name.## Future Plans
- The project was coded in basic OpenCV and Mediapipe without any deep learning libraries.
- Future implementation would be to add a Deep Learning module which would be able to detect the emotion using a pre-trained model.
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.