---
title: "Reconstructed Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS"
category: "slides"
video_id: "HT4l0DeP69I"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Ship it! Building Production Ready Agents — Mike Chambers, AWS

## Source Video
[Ship it! Building Production Ready Agents — Mike Chambers, AWS](https://www.youtube.com/watch?v=HT4l0DeP69I)

## 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/HT4l0DeP69I/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.13`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.86`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.33`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.74`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.19`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.17`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.07`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.13`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.97`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.69`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.63`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.71`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.75`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.99`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.65`
![[assets/reconstructed-slides/HT4l0DeP69I/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.61`
## Dense Scene-Detected Slide Candidates
- [[youtube-HT4l0DeP69I-dense-slides]]