Reconstructed Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo

Source Video

Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo

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 175.82

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 170.87

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 175.8

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 175.87

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 172.3

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 175.8

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 175.67

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 176.13

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 174.08

Dense Scene-Detected Slide Candidates

• youtube dvft0Gp9sEE dense slides