An awesome smile detection app made in python
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This project is a computer vision project and trained with pretrained models from official opencv-python githubs page. opencv-python is used all over the computer vision space and is the most used library, this project can be used anywhere the smile detection is needed such as one of the biggest example would be snapchats filters that uses smile, mouth, and face detection.
A list of commonly used resources that I find helpful are listed in the acknowledgements.
This computer vision project is made with the help of opencv-python to detect faces and smiles with pretrained models.
This is a computer vision project and requires basic programming knowledge such as for loops, while loops and python knowledge such as slicing, if you don't have these skills then learn these first.
Make sure to install python and and upgrade pip to the latest version.
- Pip
python -m pip install --upgrade pip setuptools wheel
- Clone the repo
git clone https://github.com/ShahabAthar25/Smile-Detector-Python.git
- Install NPM packages
pip install -r requirments.txt
This project is used in computer vision as it is designed for it, this project can be used to make filters that need face detection and smile detection. One of the most used and well known examples would be snapchats filters
For more examples, please refer to the Documentation
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Your Name - @MUnpoplur - shahabathar25@gmail.com
Project Link: https://github.com/ShahabAthar25/Smile-Detector-Python