---
title: "Reconstructed Slides: Context Is the New Code — Patrick Debois, Tessl"
category: "slides"
video_id: "bSG9wUYaHWU"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Context Is the New Code — Patrick Debois, Tessl

## Source Video
[Context Is the New Code — Patrick Debois, Tessl](https://www.youtube.com/watch?v=bSG9wUYaHWU)

## 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/bSG9wUYaHWU/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.8`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.51`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.37`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.27`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.4`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.9`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.21`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.79`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.78`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.96`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.53`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.31`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.57`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.14`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.25`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-016.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.73`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-017.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.57`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-018.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.97`
![[assets/reconstructed-slides/bSG9wUYaHWU/slide-019.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.39`
## Dense Scene-Detected Slide Candidates
- [[youtube-bSG9wUYaHWU-dense-slides]]