Reconstructed Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify

Source Video

The 2025 AI Engineering Report — Barr Yaron, Amplify

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 160.12

• 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 176.89

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

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 161.71

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 160.36

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 171.94

• 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 170.05

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 160.44

Dense Scene-Detected Slide Candidates

• youtube mQ7_Zje7WKE dense slides