# MasteringOpenCV/code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

Repository: https://github.com/MasteringOpenCV/code
Canonical: https://ross.abutalabs.com/products/masteringopencv-code
Language: C++
License: NOASSERTION
License Family: other
Last push: 2023-06-09T17:51:02+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": 5015, "days_push": 1181, "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 2804, forks 1643 (observed 2026-08-28T04:07:22.754530+00:00)

## What it is
Full source code for the Packt book 'Mastering OpenCV with Practical Computer Vision Projects' (2012), containing nine C++ computer vision projects. Projects include cartoonification, marker-based and marker-less augmented reality, structure from motion, number plate recognition, face tracking, head pose estimation, face recognition, and Kinect fluid interaction.

## Use cases
- learn computer vision with OpenCV through practical projects
- build marker-based augmented reality on iPhone or iPad
- implement number plate recognition with SVM and neural networks
- do face recognition using Eigenfaces or Fisherfaces
- estimate 3D head pose with AAM and POSIT
- explore structure from motion with OpenCV
- create a cartoonifier app for Android
- track non-rigid faces in video

## When to avoid
- you need modern OpenCV 3+ or 4.x support
- you want production-ready or maintained computer vision code
- you need up-to-date mobile build tooling for Android or iOS

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: computer-vision, image-processing, machine-learning, graphics
- domain: computer-vision, image-processing, education, tutorials
- platform: cross-platform, cpp
- tags: opencv, book-code, augmented-reality, face-recognition, structure-from-motion, kinect, cmake, android, ios, desktop

## Member repositories
- MasteringOpenCV/code (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:22.754530+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 2026-08-30T08:14:30.024591+00:00, confidence not recorded.
  - readme: https://github.com/MasteringOpenCV/code (fetched 2026-08-28T04:07:22.754530+00:00, sha 3f8405ecc160)
- Data as of 2026-08-30T08:39:29.467469+00:00.