---
title: "Reconstructed Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)"
category: "slides"
video_id: "jryZvCuA0Uc"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)

## Source Video
[How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)](https://www.youtube.com/watch?v=jryZvCuA0Uc)

## 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/jryZvCuA0Uc/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.13`
![[assets/reconstructed-slides/jryZvCuA0Uc/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.33`
![[assets/reconstructed-slides/jryZvCuA0Uc/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.85`
## Dense Scene-Detected Slide Candidates
- [[youtube-jryZvCuA0Uc-dense-slides]]