---
title: "Reconstructed Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify"
category: "slides"
video_id: "mQ7_Zje7WKE"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: The 2025 AI Engineering Report — Barr Yaron, Amplify

## Source Video
[The 2025 AI Engineering Report — Barr Yaron, Amplify](https://www.youtube.com/watch?v=mQ7_Zje7WKE)

## 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/mQ7_Zje7WKE/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.12`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.56`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.89`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.42`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.71`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.36`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.94`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.24`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.05`
![[assets/reconstructed-slides/mQ7_Zje7WKE/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.44`
## Dense Scene-Detected Slide Candidates
- [[youtube-mQ7_Zje7WKE-dense-slides]]