Reconstructed Slides: Architecting and Testing Controllable Agents: Lance Martin

Source Video

Architecting and Testing Controllable Agents: Lance Martin

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 158.21

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 165.24

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 175.55

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 176.42

• Source frame: slide-005.jpg
• Crop: contour [0, 0, 960, 540] score 176.7

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 176.51

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 177.28

Dense Scene-Detected Slide Candidates

• youtube ib wTAvCZqg dense slides