Livestock detection using DeepForest (Jupyter Notebook) published in the Environmental Data Science book

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:

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

Clone the repository

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

Move into the cloned repository
```
cd 95199651-9e81-4cae-a3a7-66398a9a5f62
```

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

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

References¶

Appel, C., & This EDS book notebook contributors. (2024). Livestock detection using DeepForest (Jupyter Notebook) published in the Environmental Data Science book. Zenodo. 10.5281/ZENODO.14279235

Livestock detection (DeepForest)