# murtazahassan/Learn-OpenCV-in-3-hours

Repository: https://github.com/murtazahassan/Learn-OpenCV-in-3-hours
Canonical: https://ross.abutalabs.com/products/learn-opencv-in-3-hours
Language: Python
License Family: other
Last push: 2021-05-17T23:33:16+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2353, "days_push": 1934, "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 1149, forks 572 (observed 2026-08-28T04:03:46.445515+00:00)

## What it is
A companion code repository for a 3-hour YouTube course teaching OpenCV with Python, covering basics like reading images/video, edge detection, and face detection. It includes example projects such as a virtual painter, document scanner, and number plate detector.

## Use cases
- learn opencv with python from scratch
- beginner computer vision tutorial
- example code for face detection in python
- build a document scanner with opencv
- learn image processing basics
- number plate detection example

## When to choose
- you are a beginner wanting a structured video course with matching code
- you want small runnable example scripts for common OpenCV tasks
- you learn best by following project-based tutorials

## When to avoid
- you need production-ready, maintained computer vision code
- you want advanced or deep-learning-based vision techniques
- you need a supported library rather than educational examples

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, image-processing
- domain: computer-vision, education, tutorials
- platform: python, cross-platform
- tags: opencv, tutorial, video-course, beginner, example-projects

## Member repositories
- murtazahassan/Learn-OpenCV-in-3-hours (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.445515+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 2026-08-30T06:33:46.123010+00:00, confidence not recorded.
  - readme: https://github.com/murtazahassan/Learn-OpenCV-in-3-hours (fetched 2026-08-28T04:03:46.445515+00:00, sha e6c7b26af21e)
- Data as of 2026-08-30T08:39:29.467469+00:00.