---
title: "Reconstructed Slides: Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI"
category: "slides"
video_id: "ZRM_TfEZcIo"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI

## Source Video
[Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI](https://www.youtube.com/watch?v=ZRM_TfEZcIo)

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

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.65`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.74`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `169.95`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `172.59`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `174.89`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `169.07`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.24`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `168.88`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.92`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.9`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.48`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `172.12`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.24`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `170.7`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `172.21`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.16`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.66`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.51`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `173.56`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.04`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.99`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.83`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.95`
![[assets/reconstructed-slides/ZRM_TfEZcIo/slide-024.jpg]]

- Source frame: `slide-024.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `155.98`
## Dense Scene-Detected Slide Candidates
- [[youtube-ZRM_TfEZcIo-dense-slides]]