Reconstructed Slides: Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind

Source Video

Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind

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 176.36

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 175.89

• Source frame: slide-004.jpg
• Crop: contour [0, 0, 960, 540] score 176.4

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 160.21

Dense Scene-Detected Slide Candidates

• youtube 3_gYbhABcAE dense slides