基于LibTorch C++API部署YOLOv5实现实时对象检测C++源码.zip

# YOLOv5-LibTorch Real time object detection with deployment of YOLOv5 through LibTorch C++ API ### Environment - Ubuntu 18.04 - OpenCV 3.2.0 - LibTorch 1.6.0 - CMake 3.10.2 ### Getting Started 1. Install OpenCV. ```shell sudo apt-get install libopencv-dev ``` 2. Install LibTorch. ```shell wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip unzip libtorch-shared-with-deps-latest.zip ``` 3. Edit "CMakeLists.txt" to configure OpenCV and LibTorch correctly. 4. Compile and run. ```shell cd build cmake .. make ./../bin/YOLOv5LibTorch ``` Note: COCO-pretrained YOLOv5s model has been provided. For more pretrained models, see [yolov5](https://github.com/ultralytics/yolov5).