Reconstructed Slides: Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize

Source Video

Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize

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: full [0, 0, 960, 540] score 175.75

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 176.23

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 177.45

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 175.48

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 176.22

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 176.6

Dense Scene-Detected Slide Candidates

• youtube Xfl50508LZM dense slides