---
title: "Reconstructed Slides: The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori"
category: "slides"
video_id: "BZtD0yYAgCQ"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori

## Source Video
[The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori](https://www.youtube.com/watch?v=BZtD0yYAgCQ)

## 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/BZtD0yYAgCQ/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.14`
![[assets/reconstructed-slides/BZtD0yYAgCQ/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `175.96`
![[assets/reconstructed-slides/BZtD0yYAgCQ/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.71`
![[assets/reconstructed-slides/BZtD0yYAgCQ/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `178.13`
![[assets/reconstructed-slides/BZtD0yYAgCQ/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.52`
## Dense Scene-Detected Slide Candidates
- [[youtube-BZtD0yYAgCQ-dense-slides]]