yolov11张量模型_yolov11-trt.zip

# yolov11-trt [](https://developer.nvidia.com/cuda-downloads) [](https://developer.nvidia.com/tensorrt) This repository contains a C++ implementation of YOLOv11, optimized with TensorRT for fast and efficient real-time inference. ### Dependencies - **C++**: - OpenCV - TensorRT - **Python**: ```bash pip install --upgrade ultralytics ``` ### Installation #### Repository clone & build ```bash git clone https://github.com/fbasatemur/yolov11-trt.git cd yolov11-trt* ``` ```bash mkdir build && cd build cmake .. cmake --build . --config Release ``` ## Usage ### Exporting the Model Modify the export.py script for the desired model name, then run it to export the YOLOv11 model to ONNX. ```bash python export.py ``` ### Create a TRT Engine Convert the ONNX model to a TRT engine: ```bash ./yolov11-trt yolo11.onnx "yolov11.engine" ``` ### Running Inference Perform object detection on an image: ```bash ./yolov11-trt yolo11.engine "img1.jpg" ``` Perform object detection on a video: ```bash ./yolov11-trt yolo11.engine "vid1.mp4" ``` #### References - https://github.com/spacewalk01/yolov11-tensorrt