Melody-Zhou/tensorRT_Pro-Vision
This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference.
⚡ Executive Summary & Quick Facts
Authoritative SourcetensorRT_Pro-Vision is tensorRT_Pro-Vision is an open-source project written in C++: This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference..
| Repository | Melody-Zhou/tensorRT_Pro-Vision ↗ |
|---|---|
| Primary Category | bytetrack |
| Language & Stack | C++ |
| Software License | MIT |
| Community Traction | ★ 415 stars · ⑂ 74 forks · #11,129 globally |
| Maintenance | ● Active (Last commit: Oct 23, 2026) · 40 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#894
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
tensorRT_Pro-Vision gained 10 stars in the last 30 days, about 1 a day, and now has 415. It is about 3 years old and has averaged roughly 138 stars a year. It ranks #894 among C++ repositories and #11,129 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#11512
BEST RANK
Oct 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tensorRT_Pro-Vision has maintained a continuous presence across global trending indexes, peaking at #11512. Below is the 30-day activity profile:
💡 Overview
tensorRT_Pro-Vision is an open-source project written in C++: This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference.
Engineered for speed, consistency, and developer ease, it solves common hurdles in bytetrack, clrernet, clrnet. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/Melody-Zhou/tensorRT_Pro-Vision.git
cd tensorRT_Pro-Vision⚙ 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
tensorRT_Pro-Vision 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 tensorRT_Pro-Vision 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 MIT license.
🚀 Getting Started
Install tensorRT_Pro-Vision using your package manager: `git clone https://github.com/Melody-Zhou/tensorRT_Pro-Vision.git`
Initialize your project workspace or configuration file for tensorRT_Pro-Vision.
Import tensorRT_Pro-Vision into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tensorRT_Pro-Vision --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Melody-Zhou/tensorRT_Pro-Vision is currently ranked #11,129 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #11,117 | akiomik/mado | Rust | ★ 416 | Compare ↗ |
| #11,117 | ai-sdlc-framework/ai-sdlc | TypeScript | ★ 416 | Compare ↗ |
| #11,117 | benjaminasterA/antigravity-awesome-skills | Python | ★ 416 | Compare ↗ |
| #11,117 | rit3zh/expo-backdrop | Kotlin | ★ 416 | Compare ↗ |
| #11,117 | TeamGDB/Yakumo | C++ | ★ 416 | Compare ↗ |
| #11,129 | Melody-Zhou/tensorRT_Pro-Vision This Project | C++ | ★ 415 | |
| #11,129 | bryceco/GoMap | Swift | ★ 415 | Compare ↗ |
| #11,129 | apache/velocity-engine | Java | ★ 415 | Compare ↗ |
| #11,129 | linuxdeepin/dde-file-manager | C++ | ★ 415 | Compare ↗ |
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Frequently Asked Questions
What does tensorRT_Pro-Vision do? +
This repository is forked from shouxieai/tensorRT_Pro, extending it to support a wide range of vision models with high-performance TensorRT C++ inference.
What language is tensorRT_Pro-Vision written in? +
The primary language is C++. Topics include: bytetrack, clrernet, clrnet, depth-anything, laneatt.
Is tensorRT_Pro-Vision actively maintained? +
Yes, the last recorded push was on Oct 23, 2026 with 40 open issues being tracked.
How many stars does tensorRT_Pro-Vision have? +
tensorRT_Pro-Vision has 415 stars and 74 forks on GitHub.
How does tensorRT_Pro-Vision rank among GitHub repositories? +
With 415 stars, Melody-Zhou/tensorRT_Pro-Vision is ranked #11,129 globally across all repositories tracked on GitHubRepo and #894 among C++ projects.
What license is tensorRT_Pro-Vision distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
