---
title: "Reconstructed Slides: Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)"
category: "slides"
video_id: "PmZDupFP3UM"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

## Source Video
[Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)](https://www.youtube.com/watch?v=PmZDupFP3UM)

## 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/PmZDupFP3UM/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.59`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.24`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.2`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.84`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.51`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.78`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `163.95`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.11`
![[assets/reconstructed-slides/PmZDupFP3UM/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.72`
## Dense Scene-Detected Slide Candidates
- [[youtube-PmZDupFP3UM-dense-slides]]