import os
import xml.dom.minidom
import cv2 as cv
ImgPath = '/home/newbee/CODEs/CSRNet-pytorch-master/train/images/'
AnnoPath = '/home/newbee/CODEs/CSRNet-pytorch-master/train/xmls/'
imagelist = os.listdir(ImgPath)
for image in imagelist:
image_pre, ext = os.path.splitext(image)
imgfile = ImgPath + image
xmlfile = AnnoPath + image_pre + '.xml'
#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')
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')
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("/home/newbee/CODEs/CSRNet-pytorch-master/havatry.jpg", img) #save picture
我的xml具体内容:
image
Unknown
1920
1080
3
0
head
Unspecified
0
0
1595
604
1710
755
head
Unspecified
1
0
1829
901
1920
1025