Embedding Scope

• Getting Started

1. Install Conda:

   If Conda isn't installed, download it here.

   Conda is required to manage dependencies and ensure a consistent environment.

2. Create Environment:

   conda env create -f environment.yml

3. Activate Environment:

   conda activate scope

4. 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!