---
title: "Reconstructed Slides: MCP is all you need — Samuel Colvin, Pydantic"
category: "slides"
video_id: "bmWZk9vTze0"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: MCP is all you need — Samuel Colvin, Pydantic

## Source Video
[MCP is all you need — Samuel Colvin, Pydantic](https://www.youtube.com/watch?v=bmWZk9vTze0)

## 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/bmWZk9vTze0/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.12`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.02`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.15`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.9`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.42`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.56`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `153.68`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `151.22`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.41`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.14`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.92`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.48`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.94`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.74`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.77`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.62`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.44`
![[assets/reconstructed-slides/bmWZk9vTze0/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.94`
## Dense Scene-Detected Slide Candidates
- [[youtube-bmWZk9vTze0-dense-slides]]