---
title: "Reconstructed Slides: Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)"
category: "slides"
video_id: "E71YtNbCFXY"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)

## Source Video
[Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)](https://www.youtube.com/watch?v=E71YtNbCFXY)

## 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
![[assets/reconstructed-slides/E71YtNbCFXY/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.13`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `174.23`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `169.76`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.37`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.81`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.37`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `159.52`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.55`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.51`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.26`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.61`
![[assets/reconstructed-slides/E71YtNbCFXY/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.43`
## Dense Scene-Detected Slide Candidates
- [[youtube-E71YtNbCFXY-dense-slides]]