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Kronen/Qt-OpenCv

Simple webcam and pattern recognition(faces, eyes...) application built while I was learning Qt, OpenCv and Git

C++ ◇ face-detection GPL-3.0
★13STARS
⑂1FORKS
!0ISSUES
🏆#18,082GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,212

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

Qt-OpenCv gained 10 stars in the last 30 days, about 1 a day, and now has 13. It is about 17 years old and has averaged roughly 1 stars a year. It ranks #1,212 among C++ repositories and #18,082 across all languages on GitHubRepo.

Trending Record

Qt-OpenCv has maintained a continuous presence across global trending indexes, peaking at #16031. Below is the 30-day activity profile:

💡 Overview

Qt-OpenCv is an open-source project written in C++: Simple webcam and pattern recognition(faces, eyes...) application built while I was learning Qt, OpenCv and Git.

Engineered for speed, consistency, and developer ease, it solves common hurdles in face-detection, opencv, qt. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/Kronen/Qt-OpenCv.git
cd Qt-OpenCv

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Qt-OpenCv coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed Qt-OpenCv into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open GPL-3.0 license.

🚀 Getting Started

1

Install Qt-OpenCv using your package manager: `git clone https://github.com/Kronen/Qt-OpenCv.git`

2

Initialize your project workspace or configuration file for Qt-OpenCv.

3

Import Qt-OpenCv into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Qt-OpenCv --help` to verify successful setup.

👍 Strengths

Active community backing with 13 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Kronen/Qt-OpenCv is currently ranked #18,082 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,901 dbgrandi/ruby-aws Ruby ★ 14 Compare ↗
#17,901 kneath/greed Ruby ★ 14 Compare ↗
#17,901 mde/fleegix-js-javascript-toolkit JavaScript ★ 14 Compare ↗
#17,901 nesquena/semantic_form_builder Ruby ★ 14 Compare ↗
#17,901 joshsusser/migration_concordance Ruby ★ 14 Compare ↗
#18,082 Kronen/Qt-OpenCv This Project C++ ★ 13
#18,082 collectiveidea/random_finders Ruby ★ 13 Compare ↗
#18,082 nullstyle/ruby-satisfaction Ruby ★ 13 Compare ↗
#18,082 ozamosi/tomboy-blogposter C# ★ 13 Compare ↗
#18,082 sgala/gajim Python ★ 13 Compare ↗
#18,082 mattetti/ar-backup Ruby ★ 13 Compare ↗

Frequently Asked Questions

What does Qt-OpenCv do? +

Simple webcam and pattern recognition(faces, eyes...) application built while I was learning Qt, OpenCv and Git

What language is Qt-OpenCv written in? +

The primary language is C++. Topics include: face-detection, opencv, qt.

Is Qt-OpenCv actively maintained? +

Yes, the last recorded push was on Nov 15, 2017 with 0 open issues being tracked.

How many stars does Qt-OpenCv have? +

Qt-OpenCv has 13 stars and 1 forks on GitHub.

How does Qt-OpenCv rank among GitHub repositories? +

With 13 stars, Kronen/Qt-OpenCv is ranked #18,082 globally across all repositories tracked on GitHubRepo and #1,212 among C++ projects.

What license is Qt-OpenCv distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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