Reconstructed Slides: Building voice agents with OpenAI — Dominik Kundel, OpenAI

Source Video

Building voice agents with OpenAI — Dominik Kundel, OpenAI

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 160.07

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 176.13

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 176.43

• 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 163.95

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 175.92

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 156.75

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 175.95

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 164.52

Dense Scene-Detected Slide Candidates

• youtube iXhba366fQc dense slides