Human Pose Detection Demo

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About The Project

This is a sample Human Pose Detection project developed using ml5.js PoseNet. Custom machine model is trained for the recognition of custom human poses. (Hands up, squat etc.)

Once the machine model is loaded, when predict button is pressed, it will start classifying human poses in Neutral, Hands Up, Squat, Leg Strecth (Regular Quadriceps stretch, standing heel to buttock.) Inspection Window has necessary informations about model loading process. If the model was not loaded load model button will load the model manually.

*In order to train a machine model, there should be raw data collected. When there is raw data ready, we can proceed to train a machine model from that data. Once the training is complete the machine model can be downloaded and consumed in any application. A PoseNet machine model can be trained with this repo.

Editing/Extending/Usage

1. Clone the repo

git clone https://github.com/ahmettekeli/HumanPoseDetection.git

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Ahmet Tekeli - @ahmettekeli3 - ahmettekeli1991@hotmail.com

Project Link: https://github.com/ahmettekeli/HumanPoseDetectionDemo