# jesolem/PCV

Open source Python module for computer vision

Repository: https://github.com/jesolem/PCV
Canonical: https://ross.abutalabs.com/products/pcv
Language: Python
License: BSD-2-Clause
License Family: permissive
Last push: 2020-12-28T00:44:46+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": 5269, "days_push": 2075, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1960, forks 677 (observed 2026-08-28T04:05:59.403088+00:00)

## What it is
PCV is a pure Python computer vision library containing the code from the book 'Programming Computer Vision with Python' by Jan Erik Solem. It implements classic vision algorithms (feature detection, matching, camera models, clustering, classification) using NumPy, SciPy, and Matplotlib.

## Use cases
- learn computer vision algorithms in python
- example code for programming computer vision with python book
- implement image feature detection and matching from scratch
- study sift features and homographies without opencv
- python code for camera calibration and 3d reconstruction
- teach a computer vision course with runnable examples

## When to choose
- you are reading the book and want its exact code
- you want simple, dependency-light implementations to learn from
- you need readable reference implementations of classic CV algorithms

## When to avoid
- you need a production computer vision system
- you require modern Python 3 support and active maintenance
- you need GPU-accelerated or deep-learning-based vision
- you want the performance and breadth of OpenCV

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing, data-visualization
- domain: computer-vision, image-processing, education, machine-learning
- platform: python, cross-platform
- tags: book-companion-code, numpy, matplotlib, opencv-alternative, educational

## Member repositories
- jesolem/PCV (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.403088+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 2026-08-30T03:05:47.812887+00:00, confidence not recorded.
  - readme: https://github.com/jesolem/PCV (fetched 2026-08-28T04:05:59.403088+00:00, sha a1e7a40f929d)
- Data as of 2026-08-30T08:39:29.467469+00:00.