Reconstructed Slides: Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)

Source Video

Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)

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 160.13

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 174.23

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 169.76

• Source frame: slide-004.jpg
• Crop: contour [0, 0, 960, 540] score 176.37

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 166.81

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 176.37

• Source frame: slide-007.jpg
• Crop: contour [0, 0, 960, 540] score 159.52

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 171.55

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 170.51

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 170.26

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 165.61

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 163.43

Dense Scene-Detected Slide Candidates

• youtube E71YtNbCFXY dense slides