This demo script was developed for the DL@MBL 2024 course by Eduardo Hirata-Miyasaki, Ziwen Liu and Shalin Mehta, with many inputs and bugfixes by Morgan Schwartz, Caroline Malin-Mayor, and Peter Park.
Make sure that you are inside of the image_translation folder by using the cd command to change directories if needed.
Make sure that you can use conda to switch environments.
conda initClose your shell, and login again.
Run the setup script to create the environment for this exercise and download the dataset.
sh setup.shActivate your environment
conda activate 06_image_translationInstall vscode, install jupyter extension inside vscode, and setup cell mode. Open solution.py and run the script interactively.
The matching exercise and solution notebooks can be found here on the course repository.
Launch a jupyter environment
jupyter notebook
...and continue with the instructions in the notebook.
If 06_image_translation is not available as a kernel in jupyter, run:
python -m ipykernel install --user --name=06_image_translation