yolov5

YOLOv5 PyTorch=>ONNX=>TensorRT

1.Reference

• yolov5: https://github.com/ultralytics/yolov5
• get yolov5 weights from here: yolov5s, yolov5m, yolov5l, yolov5x.

2.Export ONNX Model

git clone https://github.com/linghu8812/yolov5.git
python3 export.py ---weights weights/yolov5s.pt --batch-size 10 --imgsz 640 --include onnx --simplify

3.Build tensorrt_inference Project

cd ../  # in project directory
mkdir build && cd build
cmake ..
make -j

4.Run tensorrt_inference

• inference with yolov5s

cd ../../bin/
./tensorrt_inference yolov5 ../configs/yolov5/config.yaml ../samples/detection_segmentation

• inference with yolov5s6

cd ../../bin/
./tensorrt_inference yolov5 ../configs/yolov5/config_p6.yaml ../samples/detection_segmentation

• inference with yolov5-cls

cd ../../bin/
./tensorrt_inference yolov5_cls ../configs/yolov5/config_cls.yaml ../samples/classification

For more information, please refer this blog: https://blog.csdn.net/linghu8812/article/details/109322729

5.Results: