# CodecWang/opencv-python-tutorial

📖 OpenCV-Python image processing tutorial for beginners

Repository: https://github.com/CodecWang/opencv-python-tutorial
Canonical: https://ross.abutalabs.com/products/codecwang-opencv-python-tutorial
Homepage: https://codec.wang/docs/opencv
Language: TypeScript
License Family: other
Topics: opencv, opencv-python, image-processing
Last push: 2023-07-11T11:22:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2892, "days_push": 1149, "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 3143, forks 949 (observed 2026-08-28T04:07:45.922395+00:00)

## What it is
A free, beginner-oriented OpenCV-Python tutorial published as a Docusaurus website (with a Docker-hosted version), covering image loading, colorspaces, thresholding, geometric transforms, filtering, edge detection, contours, histograms, template matching, and Hough transforms. It is a Chinese-language adaptation and expansion of the official OpenCV-Python tutorials, with source code and exercises per lesson.

## Use cases
- learn opencv with python from scratch
- beginner image processing tutorial
- how to read and display images with cv2
- opencv camera capture and video recording examples
- understand thresholding and edge detection in opencv
- find contours and template matching examples
- learn opencv in chinese

## When to choose
- you are a beginner wanting a structured, step-by-step OpenCV-Python course with runnable code and exercises
- you prefer Chinese-language explanations of OpenCV concepts
- you want quick practical recipes for common image-processing tasks like filtering, contours, and Hough transforms

## When to avoid
- you need advanced or deep-learning-focused computer vision content
- you require English-language documentation
- you need an actively maintained library rather than a static tutorial

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: image-processing, documentation
- domain: image-processing, computer-vision, tutorials, education
- platform: python, cross-platform
- tags: opencv, tutorial, docusaurus, chinese, beginner-friendly, computer-vision

## Member repositories
- CodecWang/opencv-python-tutorial (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:45.922395+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 2026-08-30T07:25:59.940473+00:00, confidence not recorded.
  - readme: https://github.com/CodecWang/opencv-python-tutorial (fetched 2026-08-28T04:07:45.922395+00:00, sha 2a9cf409390a)
  - homepage: https://codec.wang/docs/opencv (fetched 2026-08-29T09:41:14.427123+00:00, sha 9bc30cc32406)
  - site_page: https://codec.wang/docs/opencv/start/introduction-and-installation (fetched 2026-08-29T09:41:14.433722+00:00, sha 960dfd4b089f)
  - site_page: https://codec.wang/docs/opencv/start/extra-01-code-optimization (fetched 2026-08-29T09:41:14.436264+00:00, sha 24c17d9ad450)
  - site_page: https://codec.wang/docs/opencv/start/basic-element-image (fetched 2026-08-29T09:41:14.438858+00:00, sha 757b592002cf)
  - site_page: https://codec.wang/docs/opencv/start/extra-02-high-quality-save-and-matplotlib (fetched 2026-08-29T09:41:14.440941+00:00, sha ae99b2c1bc42)
  - site_page: https://codec.wang/docs/opencv/start/open-camera (fetched 2026-08-29T09:41:14.443202+00:00, sha 2639cce403a5)
  - site_page: https://codec.wang/docs/opencv/start/extra-03-trackbar (fetched 2026-08-29T09:41:14.445485+00:00, sha ba9bf8673654)
- Data as of 2026-08-30T08:39:29.467469+00:00.