Reconstructed Slides: Agents vs Workflows: Why Not Both? — Sam Bhagwat, Mastra.ai

Source Video

Agents vs Workflows: Why Not Both? — Sam Bhagwat, Mastra.ai

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 160.13

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 161.08

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 159.62

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 165.54

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 161.48

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 157.78

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 156.66

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 156.52

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 157.58

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 155.2

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 153.17

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 177.27

• Source frame: slide-013.jpg
• Crop: full [0, 0, 960, 540] score 159.16

• Source frame: slide-014.jpg
• Crop: full [0, 0, 960, 540] score 155.93

• Source frame: slide-015.jpg
• Crop: full [0, 0, 960, 540] score 157.61

• Source frame: slide-016.jpg
• Crop: full [0, 0, 960, 540] score 156.69

• Source frame: slide-017.jpg
• Crop: full [0, 0, 960, 540] score 161.73

• Source frame: slide-018.jpg
• Crop: full [0, 0, 960, 540] score 166.32

• Source frame: slide-019.jpg
• Crop: full [0, 0, 960, 540] score 156.91

• Source frame: slide-020.jpg
• Crop: full [0, 0, 960, 540] score 163.28

• Source frame: slide-021.jpg
• Crop: full [0, 0, 960, 540] score 163.11