Reconstructed Slides: Optimizing inference for voice models in production - Philip Kiely, Baseten

Source Video

Optimizing inference for voice models in production - Philip Kiely, Baseten

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 160.12

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 177.23

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 176.32

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 177.28

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 176.87

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 163.67

Dense Scene-Detected Slide Candidates

• youtube gmTHs5T_YAE dense slides