---
title: "Reconstructed Slides: The era of unbounded products: Designing for Multimodal IO: Ben Hylak"
category: "slides"
video_id: "5nOLb27hQ5w"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: The era of unbounded products: Designing for Multimodal IO: Ben Hylak

## Source Video
[The era of unbounded products: Designing for Multimodal IO: Ben Hylak](https://www.youtube.com/watch?v=5nOLb27hQ5w)

## 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/5nOLb27hQ5w/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.44`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `165.66`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.27`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.79`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.1`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.5`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.8`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.67`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.15`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `152.03`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.1`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `153.53`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.56`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.38`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.6`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-016.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.19`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-017.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.19`
![[assets/reconstructed-slides/5nOLb27hQ5w/slide-018.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.24`
## Dense Scene-Detected Slide Candidates
- [[youtube-5nOLb27hQ5w-dense-slides]]