yolov5模型转onnx python export.py --weights yolov5s.pt --include onnx onnx模型推理(在原文的基础上修改了一些内容) #encoding=gbkimport os import cv2 import numpy as np import onnxruntime import timeCLASSES=['person','bicycle','car','motorcycle','airplane','bus','train','truck','boat'...
1.cv2读取图像并resize2.图像转BGR2RGB和HWC2CHW3.图像归一化4.图像增加维度5.onnx_session 推理 class YOLOV5():def __init__(self,onnxpath):self.onnx_session=onnxruntime.InferenceSession(onnxpath)self.input_name=self.get_input_name()self.output_name=self.get_output_name()#---# 获取输入...