pumaguard 20.post87

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PumaGuard

Introduction

Please visit http://pumaguard.rtfd.io/ for more information.

Get PumaGuard

GitHub Codespaces

If you do not want to install any new software on your computer you can use GitHub Codespaces, which provide a development environment in your browser.

Local Development Environment

You can set up a local development environment using either uv (recommended for speed) or poetry.

Using uv (Recommended)

uv is an extremely fast Python package installer and resolver.

Install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh

Or on Windows:

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Create a virtual environment and install dependencies:

uv venv
source .venv/bin/activate  # On Linux/macOS
# or
.venv\Scripts\activate  # On Windows

# Install with development dependencies
uv pip install -e ".[dev,extra-dev]"

Or use uv sync for automatic environment management:

uv sync --extra dev --extra extra-dev

Using Poetry

Alternatively, you can use poetry:

sudo apt install python3-poetry
poetry install

Running the scripts on colab.research.google.com

Google Colab offers runtimes with GPUs and TPUs, which make training a model much faster. In order to run the training script in Google Colab, do the following from the terminal:

git clone https://github.com/PEEC-Nature-Youth-Group/pumaguard.git
cd pumaguard
scripts/train.py --help

For example, if you want to train the model from row 1 in the notebook,

scripts/train.py --notebook 1

Running the server

The pumaguard-server watches a folder and classifies new files as they are added to that folder. Run with

Using uv:

uv run pumaguard-server FOLDER

Using poetry:

poetry run pumaguard-server FOLDER

Where FOLDER is the folder to watch.

Training new models

For reproducibility, training new models should be done via the train script and all necessary data, i.e. images, and the resulting weights and history should be committed to the repository.

1. Get a TPU instance on Colab or run the script on your local machine.

2. Open a terminal and run

   git clone https://github.com/PEEC-Nature-Youth-Group/pumaguard.git
   cd pumaguard
   

3. Get help on how to use the script

   On Colab, run

   ./scripts/pumaguard --help
   ./scripts/pumaguard train --help
   

   On your local machine with uv:

   sudo apt install nvidia-cudnn
   uv sync --extra dev --extra extra-dev
   uv run pumaguard --help
   uv run pumaguard train --help
   

   Or with poetry:

   sudo apt install nvidia-cudnn
   poetry install
   poetry run pumaguard --help
   poetry run pumaguard train --help
   

4. Train the model from scratch

   ./scripts/pumaguard train --no-load --settings pumaguard-models/model_settings_6_pre-trained_512_512.yaml