-
Install Conda:
If Conda isn't installed, download it here.
Conda is required to manage dependencies and ensure a consistent environment.
-
Create Environment:
conda env create -f environment.yml
-
Activate Environment:
conda activate scope
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Configure Workspace:
To configure the workspace where the datasets and trained checkpoints are stored, update the
source/__init__.py
file with the desired path.For example:
from pathlib import Path workspace = Path("/your/path/to/workspace") workspace.mkdir(mode=0o770, parents=True, exist_ok=True)
You're all set to begin!