# JimmyHHua/opencv_tutorials

Opencv4.0 with python (English&中文)， and will keep the update ! 👊

Repository: https://github.com/JimmyHHua/opencv_tutorials
Canonical: https://ross.abutalabs.com/products/opencv_tutorials
Homepage: https://zhuanlan.zhihu.com/c_1094607699664277504
Language: Python
License Family: other
Topics: opencv4, opencv-tutorials, opencv-python
Last push: 2022-06-08T15:56:00+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": 2672, "days_push": 1547, "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 1852, forks 438 (observed 2026-08-28T04:05:44.404917+00:00)

## What it is
A bilingual (English and Chinese) tutorial repository with Python source code examples for OpenCV 4.0, covering image loading, pixel operations, filtering, histograms, and more. It is organized as a structured learning road with numbered, annotated example programs.

## Use cases
- learn opencv with python
- opencv 4 tutorial examples
- image processing examples in python
- learn image filtering and histograms
- opencv tutorials in chinese and english
- beginner computer vision code samples

## When to choose
- you are learning OpenCV 4 with Python from scratch
- you want runnable example code for common image processing tasks
- you prefer bilingual English/Chinese explanations

## When to avoid
- you need production computer vision code or a maintained library
- you need OpenCV 5 or the latest API coverage
- you need a license-clear codebase for commercial reuse

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: image-processing, computer-vision
- domain: computer-vision, image-processing, tutorials
- platform: python, cross-platform
- tags: opencv, opencv4, tutorials, python-examples, bilingual

## Member repositories
- JimmyHHua/opencv_tutorials (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:44.404917+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 2026-08-30T03:16:51.830985+00:00, confidence not recorded.
  - readme: https://github.com/JimmyHHua/opencv_tutorials (fetched 2026-08-28T04:05:44.404917+00:00, sha 4ed25f16e3a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.