pythorchtotflite

pythorch to tflite

Project Description

The "pythorchtotflite" project is aimed at converting face matching models originally implemented in PyTorch to TensorFlow Lite format. This enables the deployment of these models on resource-constrained devices such as mobile phones and edge devices. Additionally, the project includes a model evaluation component that uses the device camera to assess model performance.

Features

Model Conversion: This project focuses on the conversion of face matching models from PyTorch to TensorFlow Lite. The conversion process is essential for making models suitable for deployment on mobile and edge devices.
Model Evaluation: The project provides the capability to evaluate the performance of converted models by utilizing the device's camera. This allows you to assess the model's accuracy and effectiveness in real-world scenarios.

Prerequisites

Before you start, make sure you have the following prerequisites installed on your development environment:

PyTorch
TensorFlow
TensorFlow Lite Converter
Camera access libraries (e.g., OpenCV for camera access)

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

Thanks to the PyTorch and TensorFlow communities for their excellent deep learning frameworks.

Contact

For any questions or issues, please feel free to contact.

Enjoy working on your "pythorchtotflite" project!