Reconstructed Slides: What if the network was the sandbox? — Remy Guercio, Tailscale

Source Video

What if the network was the sandbox? — Remy Guercio, Tailscale

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 157.81

• Source frame: slide-002.jpg
• Crop: contour [0, 0, 960, 540] score 176.37

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 166.06

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 170.58

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 166.44

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 162.76

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 176.15

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 176.24

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 162.54

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 162.77

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 172.36

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 160.2

Dense Scene-Detected Slide Candidates

• youtube BM2JX9hqsVQ dense slides