python目标检测给图画框，bbox画到图上并保存

import os
import xml.dom.minidom
import cv2 as cv

ImgPath = '/Users/ll/Desktop/PyTorch-YOLOv3/data/custom/images/' #图片地址
AnnoPath = '/Users/ll/Desktop/PyTorch-YOLOv3/data/custom/labels/' #xml文件地址
save_path = '/Users/ll/Desktop/shumei/Image'
def draw_anchor(ImgPath,AnnoPath,save_path):
imagelist = os.listdir(ImgPath)
for image in imagelist:

image_pre, ext = os.path.splitext(image)
imgfile = ImgPath + image
xmlfile = AnnoPath + image_pre + '.xml'
# print(image)
# 打开xml文档
DOMTree = xml.dom.minidom.parse(xmlfile)
# 得到文档元素对象
collection = DOMTree.documentElement
# 读取图片
img = cv.imread(imgfile)

filenamelist = collection.getElementsByTagName("filename")
filename = filenamelist[0].childNodes[0].data
print(filename)
# 得到标签名为object的信息
objectlist = collection.getElementsByTagName("object")

for objects in objectlist:
# 每个object中得到子标签名为name的信息
namelist = objects.getElementsByTagName('name')
# 通过此语句得到具体的某个name的值
objectname = namelist[0].childNodes[0].data

bndbox = objects.getElementsByTagName('bndbox')
# print(bndbox)
for box in bndbox:
x1_list = box.getElementsByTagName('xmin')
x1 = int(x1_list[0].childNodes[0].data)
y1_list = box.getElementsByTagName('ymin')
y1 = int(y1_list[0].childNodes[0].data)
x2_list = box.getElementsByTagName('xmax') #注意坐标，看是否需要转换
x2 = int(x2_list[0].childNodes[0].data)
y2_list = box.getElementsByTagName('ymax')
y2 = int(y2_list[0].childNodes[0].data)
cv.rectangle(img, (x1, y1), (x2, y2), (255, 255, 255), thickness=2)
cv.putText(img, objectname, (x1, y1), cv.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0),
thickness=2)
# cv.imshow('head', img)
cv.imwrite(save_path+'/'+image, img) #
if __name__ == "__main__":
draw_anchor(ImgPath,AnnoPath,save_path)