---
title: "Reconstructed Slides: Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner"
category: "slides"
video_id: "1t-9-s1brcg"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner

## Source Video
[Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner](https://www.youtube.com/watch?v=1t-9-s1brcg)

## 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/1t-9-s1brcg/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.4`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.2`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.34`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.41`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.25`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.43`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.78`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.66`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.1`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.9`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.24`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.85`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.74`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.39`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `173.06`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `173.44`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.57`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.02`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.9`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.2`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.14`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.61`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.06`
![[assets/reconstructed-slides/1t-9-s1brcg/slide-024.jpg]]

- Source frame: `slide-024.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `172.42`
## Dense Scene-Detected Slide Candidates
- [[youtube-1t-9-s1brcg-dense-slides]]