Dense Slides: Run Frontier AI at Home — Alex Cheema, EXO Labs
Source Video
Run Frontier AI at Home — Alex Cheema, EXO Labs
Method
This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.
Cropped Visible Slides
No slide-like frames are visible after AI slide classification. Rejected frames remain stored as evidence and are listed below.
Hidden Non-Slide Evidence
- `slide-001.jpg` —
otherconfidence0.0; missing batch classifier result - `slide-002.jpg` —
otherconfidence0.0; missing batch classifier result - `slide-003.jpg` —
otherconfidence0.0; missing batch classifier result - `slide-004.jpg` —
otherconfidence0.0; missing batch classifier result
Classification audit: raw/sources/slide-ai-classification/dense/ESbWpPT_9-o/audit.json