PytorchWildlife 0.0.0.2

a PyTorch Collaborative Deep Learning Framework for Conservation.

PyTorchWildlife: An Animal Detection and Classification Package

PyTorchWildlife is a collaborative Deep Learning Framework for conservation that provides pre-trained models for animal detection and classification. This README will guide you through the steps to run a demo of the package using the Gradio interface.

Table of Contents

1. Prerequisites
2. Installation
3. Running the Demo
4. License

Prerequisites

1. Python 3.x
2. NVIDIA GPU (for CUDA support, although the demo can run on CPU)

Installation

1. Install through pip:

```bash pip install PyTorchWildlife ```

Running the Demo

Once the setup is complete, execute:

```bash python demo_gradio.py ```

This will launch a Gradio interface where you can:

• Perform Single Image Detection: Upload an image and set a confidence threshold to get detections.
• Perform Batch Image Detection: Upload a zip file containing multiple images to get detections in a JSON format.
• Perform Video Detection: Upload a video and get a processed video with detected animals.

License

This project is licensed under the MIT License. Refer to the LICENSE file for more details.

Copyright

Copyright (c) Microsoft Corporation. All rights reserved.