TheVanadium/farm-ng-amiga-autonomous-navigation

AI Summary: Create a Python script that counts the lines of code within the project's Git repository, similar to the provided example script. The script should provide a summary of the lines of code in each directory and potentially the total lines of code across the entire repository.

AI Summary: Implement Git Large File Storage (LFS) to manage the large test data files located in `amiga-app/backend/tests/test_data`. This involves configuring Git LFS, adding the specified directory to the LFS tracking, and potentially migrating existing data.

AI Summary: Implement a 'sparse deployment' mode for the farm-ng Amiga application that excludes test code. This involves modifying the Amiga application code (`amiga-app/`) to conditionally compile or exclude test-related components, ensuring the final deployment is optimized for the Amiga's resource constraints and doesn't include unnecessary test code.

AI Summary: Modify the `amiga-app/` code to perform bounding box calculations on the point cloud generated from the ToF cameras during image capture. This will reduce storage needs and simplify the data analysis process by pre-processing the point cloud data before saving it.