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Livestock detection (DeepForest)

Continuous integration badge Binder doi notebook review

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How to run

Running on Binder

The notebook is designed to be launched from Binder.

Click the Launch Binder button at the top level of the repository.

Running locally

You may also download the notebook from GitHub to run it locally:

  1. Open your terminal

  2. Check your conda install with conda --version. If you don't have conda, install it by following these instructions (see here)

  3. Clone the repository

    git clone https://github.com/eds-book-gallery/95199651-9e81-4cae-a3a7-66398a9a5f62.git
  4. Move into the cloned repository

    cd 95199651-9e81-4cae-a3a7-66398a9a5f62
  5. Create and activate your environment from the .binder/environment.yml file

    conda env create -f .binder/environment.yml
    conda activate 95199651-9e81-4cae-a3a7-66398a9a5f62
  6. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

Troubleshooting

Following the guidelines in DeepForest documentation, for Mac M1 and M2 users, you may need to install the geopandas package via conda after the step 5. You can do this by running the following command:

conda install -c conda-forge geopandas

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Showcasing how to fine-tune a livestock detection model using DeepForest

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