Reconstructed Slides: Making Codebases Agent Ready – Eno Reyes, Factory AI

Source Video

Making Codebases Agent Ready – Eno Reyes, Factory AI

Method

This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

Reconstructed Slides

• Source frame: slide-001.jpg
• Crop: full [0, 0, 960, 540] score 176.24

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 176.56

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 166.22

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 166.59

• Source frame: slide-005.jpg
• Crop: contour [0, 0, 960, 540] score 165.9

• Source frame: slide-006.jpg
• Crop: contour [0, 0, 960, 540] score 171.25

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 159.39

Dense Scene-Detected Slide Candidates

• youtube ShuJ_CN6zr4 dense slides