---
title: "Reconstructed Slides: Building Cursor Composer – Lee Robinson, Cursor"
category: "slides"
video_id: "fL1iJHtl51Q"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Building Cursor Composer – Lee Robinson, Cursor

## Source Video
[Building Cursor Composer – Lee Robinson, Cursor](https://www.youtube.com/watch?v=fL1iJHtl51Q)

## 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/fL1iJHtl51Q/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `172.78`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.94`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.37`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.74`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.68`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `171.25`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `152.28`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.46`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.93`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.69`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `173.44`
![[assets/reconstructed-slides/fL1iJHtl51Q/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.52`
## Dense Scene-Detected Slide Candidates
- [[youtube-fL1iJHtl51Q-dense-slides]]