PrimID: Face Recognition for Primates in the Wild

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Prerequisites

This project uses Tensorflow.

Installation

Simply clone the repo

git clone https://github.com/ronny3050/PrimateFaceRecognition

Usage

For training on primate face images:

python train.py --config_file config.py

Configuration

The config.py file contains all the configurations required for training. To train on your own primate dataset, simply change the dataset_path parameter to the root directory name. The root directory should contain subdirectories of primate individuals.

The partitions are defined in splits directory. Sample files are provided with this repository.

Contributing

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

Debayan Deb - debdebay@msu.edu