Yolov6+tensorrt+onnx: deployment based on win10+tensorrt8+yolov6+onnx

I heard last week v6 Come out , I don't think I will be with you v7 Same thing , Yes, it was introduced by meituan , Let's see for ourselves

YOLOv6 It is a target detection framework developed by meituan visual intelligence department , Dedicated to industrial applications . This framework focuses on both detection accuracy and reasoning efficiency , In the dimension model commonly used in industry ：YOLOv6-nano stay COCO The upper precision can reach 35.0% AP, stay T4 The reasoning speed can reach 1242 FPS;YOLOv6-s stay COCO The upper precision can reach 43.1% AP, stay T4 The reasoning speed can reach 520 FPS. In terms of deployment ,YOLOv6 Support GPU（TensorRT）、CPU（OPENVINO）、ARM（MNN、TNN、NCNN） And so on , It greatly simplifies the adaptation work during project deployment . at present , The project has been open source to Github, Welcome friends in need Star Collection , Available at any time .

Project address ：https://github.com/meituan/YOLOv6

The precision and speed are far beyond YOLOv5 and YOLOX New framework for

Object detection is a basic technology in the field of computer vision , It has been widely used in industry , among YOLO Because of its better comprehensive performance , It has gradually become the preferred framework for most industrial applications . so far , The industry has spawned many YOLO Detection framework , Among them YOLOv5[1]、YOLOX[2] and PP-YOLOE[3] be the leading example of , But in practice , We find that there is still much room for improvement in the speed and accuracy of the above framework . Based on this , By studying and