這篇文章將為大家詳細講解有關VOC格式如何轉換CSV,文章內容質量較高,因此小編分享給大家做個參考,希望大家閱讀完這篇文章后對相關知識有一定的了解。
import os
import xml.dom.minidom
path_img = "VOC2007/JPEGImages"
path_xml = "VOC2007/Annotations"
xml_list = []
for xml1 in os.listdir(path_xml):
if xml1.endswith(".xml"):
xml_list.append(xml1)
csv_labels = open("csv_labels.csv", "w")
for xml_file in xml_list:
image_id, _ = os.path.splitext(xml_file)
DomTree = xml.dom.minidom.parse(os.path.join(path_xml, xml_file))
annotation = DomTree.documentElement
objectlist = annotation.getElementsByTagName('object')
for objects in objectlist:
namelist = objects.getElementsByTagName('name')
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)
line = str(image_id) + "," + str(x1) + "," + str(y1) \
+ "," + str(x2) + "," + str(y2) + "," + objectname + "\n"
print(line)
csv_labels.write(line)
csv_labels.close()關于VOC格式如何轉換CSV就分享到這里了,希望以上內容可以對大家有一定的幫助,可以學到更多知識。如果覺得文章不錯,可以把它分享出去讓更多的人看到。
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