shouxieai/tensorRT_Pro
C++/Python library providing high-performance inference using NVIDIA TensorRT for object detection models like YOLO variants.
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TensorRT_Pro is a framework for optimized model inference using NVIDIA TensorRT. It converts PyTorch models to TensorRT engines and provides simple C++ and Python APIs for deployment. The library supports YOLOv5, YOLOX, YOLOv7, and other object detection architectures, handling tasks such as model serialization, GPU inference, and post-processing with hardware decoding integration.
Frequently asked
- What is shouxieai/tensorRT_Pro?
- C++/Python library providing high-performance inference using NVIDIA TensorRT for object detection models like YOLO variants.
- Is tensorRT_Pro open source?
- Yes — shouxieai/tensorRT_Pro is open source, released under the MIT license.
- What language is tensorRT_Pro written in?
- shouxieai/tensorRT_Pro is primarily written in C++.
- How popular is tensorRT_Pro?
- shouxieai/tensorRT_Pro has 2.9k stars on GitHub.
- Where can I find tensorRT_Pro?
- shouxieai/tensorRT_Pro is on GitHub at https://github.com/shouxieai/tensorRT_Pro.