Reconstructed Slides: The 1,000x AI Engineer: Swyx

Source Video

The 1,000x AI Engineer: Swyx

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 153.62

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 159.78

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 178.12

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 167.04

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 165.87

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 162.23

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 175.9

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 166.18

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 166.05

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 166.19

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 166.12

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 166.19

• Source frame: slide-013.jpg
• Crop: full [0, 0, 960, 540] score 166.28

• Source frame: slide-014.jpg
• Crop: full [0, 0, 960, 540] score 164.98

• Source frame: slide-015.jpg
• Crop: full [0, 0, 960, 540] score 164.44

• Source frame: slide-016.jpg
• Crop: full [0, 0, 960, 540] score 166.49

• Source frame: slide-018.jpg
• Crop: full [0, 0, 960, 540] score 166.44

Dense Scene-Detected Slide Candidates

• youtube qaJXBMwUkoE dense slides