Deploy YOLO models for tasks like object detection and image classification quickly on NVIDIA devices.
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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.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
TensorRT-YOLO is an open-source project. It is released under the GPL-3.0 license.
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.
TensorRT-YOLO is available under the GPL-3.0 license.
TensorRT-YOLO is written mainly in C++.
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