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hybridgroup/gocv

by hybridgroup · Graphic Design & Creativity › Photo Enhancement
⭐ 7.5k stars🍴 900 forks 💻 GoCoding Knowledge Recommended 🕐 Updated 28 May 2026📊 Recommended score 71.8/100

Quick Overview — What is this tool?

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

Who Is This For?

This project is listed under Photo Enhancement in Graphic Design & Creativity, a category made for designers, creators, marketers and anyone who makes visuals.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

The source code is released under the NOASSERTION license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.

Is It Actively Maintained?

Activity level: Maintained · Last code update: 28 May 2026 · Created: 18 Sep 2017 · Open issues: 362

How to Get Started

  1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
  2. To download the full code, generate this repository's public link below and run the clone command in a terminal:
🔒 This repository's public link is protected. Click the button below to generate it.

Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 7518 stars · 🍴 900 forks · 🐛 362 open issues · 💻 Language: Go · 📄 License: NOASSERTION · Default branch: release

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