使用C++部署yolov9的tensorrt模型进行目标检测源码

<h1 align="center"><span>YOLOv9 TensorRT C++</span></h1> This repo hosts a C++ implementation of the [YOLOv9](https://github.com/WongKinYiu/yolov9) state of the art object detection model, leveraging the TensorRT API for efficient real-time inference. <p align="center" margin: 0 auto;> <img src="assets/demo.gif" width="360px" /> <img src="assets/result.jpg" width="375px" /> </p> ## 🚀 Usage ``` shell # infer an image yolov9-tensorrt.exe yolov9-c.engine test.jpg # infer a folder(images) yolov9-tensorrt.exe yolov9-c.engine data # infer a video yolov9-tensorrt.exe yolov9-c.engine test.mp4 # the video path ``` ## 🛠️ Setup We refer to our [docs/INSTALL.md](https://github.com/spacewalk01/tensorrt-yolov9/blob/main/docs/INSTALL.md) for detailed installation instructions. ## 👏 Acknowledgement This project is based on the following awesome projects: - [Yolov9](https://github.com/WongKinYiu/yolov9) - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information. - [TensorRT](https://github.com/NVIDIA/TensorRT/tree/release/8.6/samples) - TensorRT samples and api documentation.