Skip cropping for images with majority black pixels

[manoj-bhaskaran]

Requirement: Before cropping, analyze screenshots and skip processing if the image contains a majority of black pixels. This will optimize performance by avoiding unnecessary cropping operations.

Details:

• The check should be integrated into the screenshot analysis workflow.
• Define and document a threshold for "majority black" (e.g., >50% black pixels).
• Ensure the performance impact of this analysis is minimal.
• Log skipped images with their file names for audit purposes.

Acceptance Criteria:

1. Images with a majority of black pixels are identified and skipped before cropping.
2. Cropping is only performed on valid images.
3. Skipped images are logged for review.

Dependencies: Ensure compatibility with the current Python cropping script and overall screenshot workflow.

[manoj-bhaskaran]

This is an expensive approach as determine whether an image has a majority of black pixels requires scanning 50%-100% of the pixels. It is cheaper just to crop all the images regardless.