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TensorRT-YOLO
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TensorRT-YOLO

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

by laugh12321 · GitHub
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computer-visionimage-classificationinstance-segmentationGPL-3.0C++
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Deploy YOLO models for tasks like object detection and image classification quickly on NVIDIA devices.

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1 8571 856
2026-07-202026-08-31
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📄 About

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

TensorRT-YOLO has 1.9k stars on GitHub. It has been forked 193 times. TensorRT-YOLO is written mainly in C++. It has been in active development since 2024. TensorRT-YOLO is available under the GPL-3.0 license. Its main topics are computer-vision, image-classification, instance-segmentation, object-detection.

Frequently asked questions

What is TensorRT-YOLO?

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

Is TensorRT-YOLO open source?

TensorRT-YOLO is an open-source project. It is released under the GPL-3.0 license.

Is TensorRT-YOLO free?

Yes. TensorRT-YOLO is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does TensorRT-YOLO use?

TensorRT-YOLO is available under the GPL-3.0 license.

What language is TensorRT-YOLO written in?

TensorRT-YOLO is written mainly in C++.

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