python代码：
# -*- coding: utf-8 -*- import xml.etree.ElementTree as ET import os, cv2 import numpy as np xml_file = 'C:/Users/liuqian/Desktop/ceshi/annotation/G0000_0000_0450.xml' tree = ET.parse(xml_file) root = tree.getroot() imgfile = 'C:/Users/liuqian/Desktop/ceshi/images/G0000_0000_0450.png' im = cv2.imread(imgfile) for object in root.findall('object'): object_name = object.find('name').text #bndbox = object.find('bndbox').text X0 = float(object.find('bndbox').find('x0').text) Y0 = float(object.find('bndbox').find('y0').text) X1 = float(object.find('bndbox').find('x1').text) Y1 = float(object.find('bndbox').find('y1').text) X2 = float(object.find('bndbox').find('x2').text) Y2 = float(object.find('bndbox').find('y2').text) X3 = float(object.find('bndbox').find('x3').text) Y3 = float(object.find('bndbox').find('y3').text) X0 = int(X0) Y0 = int(Y0) X1 = int(X1) Y1 = int(Y1) X2 = int(X2) Y2 = int(Y2) X3 = int(X3) Y3 = int(Y3) #print(X0) #box = cv2.boxPoints(bndbox) newBox = [[X0, Y0], [X1, Y1], [X2, Y2], [X3, Y3]] color = (4, 250, 7) #img = np.zeros([120, 120], dtype=np.uint8) point = np.array(newBox).astype(int) box = np.int32(point) #cv2.line(img, tuple(point[0]), tuple(point[1]), color, 2) #cv2.line(img, tuple(point[1]), tuple(point[2]), color, 2) #cv2.line(img, tuple(point[2]), tuple(point[3]), color, 2) #v2.line(img, tuple(point[3]), tuple(point[0]), color, 2) #cv2.rectangle(im, (int(X0), int(Y0)), (int(X1), int(Y1)),(int(X2), int(Y2)),(int(X3), int(Y3)), color, 2) #image = np.expand_dims(img, axis=2) #image = np.concatenate((image, image, image), axis=-1) cv2.drawContours(im, [box], 0, (0, 0, 255), 3) font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(im, object_name, (X0, Y0 - 7), font, 0.5, (6, 230, 230), 2) cv2.imshow('01', im) cv2.imwrite('C:/Users/liuqian/Desktop/ceshi/02.png', im)可视化之后： 参考博客： https://www.bbsmax.com/A/WpdKygN1JV/ https://blog.csdn.net/gusui7202/article/details/83410188?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.channel_param&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.channel_param
