eds-book-gallery / b34facfa-cea8-48f5-89f6-f11ce00812a9

Showcasing a deep learning model for detecting floating objects

Environmental Data Science Book

Detecting floating objects using deep learning and Sentinel-2 imagery

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/b34facfa-cea8-48f5-89f6-f11ce00812a9.git

4. Move into the cloned repository

   cd b34facfa-cea8-48f5-89f6-f11ce00812a9

5. Create and activate your environment from the .binder/environment.yml file

   conda env create -f .binder/environment.yml
   conda activate b34facfa-cea8-48f5-89f6-f11ce00812a9

6. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

Credits

The How to run section was adapted from the Project Pythia Cookbook project. The workflow actions were adapted from 2i2c’s hub-user-image-template released under BSD-3-Clause license.