# KoKuToru/de-pixelate_gaV-O6NPWrI

de-pixelate youtube video gaV-O6NPWrI

Repository: https://github.com/KoKuToru/de-pixelate_gaV-O6NPWrI
Canonical: https://ross.abutalabs.com/products/de-pixelate_gav-o6npwri
Language: Jupyter Notebook
License Family: other
Last push: 2025-07-10T15:04:01+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 31, release rhythm 35, longevity 37
- inputs: {"age_days": 529, "days_push": 419, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1506, forks 152 (observed 2026-08-28T04:04:55.017122+00:00)

## What it is
A Jupyter Notebook-based proof-of-concept that reconstructs pixelated (mosaic-censored) content from a YouTube video by combining information across frames as the pixelated window moves. It demonstrates a de-pixelation technique using frame extraction, edge detection, and grid alignment.

## Use cases
- de-pixelate a censored video
- recover content hidden behind a mosaic blur
- learn how mosaic removal from moving video works
- reconstruct pixelated screen content from multiple frames
- study a computer vision proof of concept for censor removal

## When to choose
- you want to understand or experiment with mosaic de-pixelation from video frames
- you have a video where the pixelated region moves relative to static underlying content
- you want a small educational example with notebooks to follow

## When to avoid
- you need a robust, production-ready de-pixelation tool
- you expect a general-purpose image restoration library with an API
- your target video has a static pixelated region with no movement to exploit
- you need a maintained project with a clear license for all files

## Facets
- artifact type: learning-resource
- maturity: experimental
- function: image-processing, computer-vision, video-processing
- domain: computer-vision, image-processing
- platform: python, cross-platform
- tags: de-pixelation, mosaic-reconstruction, jupyter-notebook, proof-of-concept, super-resolution, video

## Member repositories
- KoKuToru/de-pixelate_gaV-O6NPWrI (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:55.017122+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:32:38.295264+00:00, confidence not recorded.
  - readme: https://github.com/KoKuToru/de-pixelate_gaV-O6NPWrI (fetched 2026-08-28T04:04:55.017122+00:00, sha 56fd57ea24cb)
- Data as of 2026-08-30T08:39:29.467469+00:00.