# Charmve/computer-vision-in-action

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/   👇项目主页

Repository: https://github.com/Charmve/computer-vision-in-action
Canonical: https://ross.abutalabs.com/products/computer-vision-in-action
Homepage: https://charmve.github.io/L0CV-web
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: tutorial, charmve, machine-learning, computer-vision, deep-learning, deep-learning-tutorial, books, handbook, computer-vision-algorithms, in-action, pytorch, transformer, ipynb, jupyter-notebook, colab-notebook, notebook, neural-network
Last push: 2024-05-27T02:44:35+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": 1952, "days_push": 828, "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 2856, forks 404 (observed 2026-08-28T04:07:25.871614+00:00)

## What it is
L0CV (Computer Vision in Action) is a free Chinese-language eBook and interactive learning platform for computer vision and deep learning, with runnable Jupyter/Colab notebooks and a companion L0CV package. It covers 21 chapters spanning neural network fundamentals, CNNs, Transformers, and practical visual recognition tasks like image classification and detection.

## Use cases
- learn computer vision from scratch with runnable code
- study deep learning architectures for image classification
- find a Chinese-language computer vision textbook
- run CNN and Transformer tutorials in Colab
- practice training neural networks on CIFAR-10
- prepare for computer vision interviews or coursework

## When to choose
- you want a structured, chapter-based CV curriculum with executable notebooks
- you prefer learning materials in Chinese
- you want free, browser-runnable examples without local setup

## When to avoid
- you need production-ready computer vision libraries rather than tutorials
- you require English-only documentation
- you need a permissively licensed codebase for commercial reuse (license is non-standard)

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, computer-vision, deep-learning, documentation
- domain: computer-vision, deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: ebook, jupyter-notebook, pytorch, chinese-language, tutorial, image-classification, transformer, colab, web

## Member repositories
- Charmve/computer-vision-in-action (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:25.871614+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 2026-08-30T07:36:30.761508+00:00, confidence not recorded.
  - readme: https://github.com/Charmve/computer-vision-in-action (fetched 2026-08-28T04:07:25.871614+00:00, sha 9166e2b92c27)
  - homepage: https://charmve.github.io/L0CV-web (fetched 2026-08-29T09:52:13.754653+00:00, sha 0025f2c3e293)
- Data as of 2026-08-30T08:39:29.467469+00:00.