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DTxml_Parser.py
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DTxml_Parser.py
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import xml.etree.ElementTree as ET
from xml.dom.minidom import Document
import os
import cv2
import time
def ConvertVOCXml(file_path="",file_name=""):
tree = ET.parse(file_name)
root = tree.getroot()
# print(root.tag)
num=0 #计数
#读xml操作
frame_lists=[]
output_file_name=""
for child in root:
if(child.tag=="frame"):
# 创建dom文档
doc = Document()
# 创建根节点
annotation = doc.createElement('annotation')
# 根节点插入dom树
doc.appendChild(annotation)
#print(child.tag, child.attrib["num"])
pic_id= child.attrib["num"].zfill(5)
#print(pic_id)
output_file_name=root.attrib["name"]+"__img"+pic_id+".xml"
# print(output_file_name)
folder = doc.createElement("folder")
folder.appendChild(doc.createTextNode("VOC2007"))
annotation.appendChild(folder)
filename = doc.createElement("filename")
pic_name="img"+pic_id+".jpg"
filename.appendChild(doc.createTextNode(pic_name))
annotation.appendChild(filename)
sizeimage = doc.createElement("size")
imagewidth = doc.createElement("width")
imageheight = doc.createElement("height")
imagedepth = doc.createElement("depth")
imagewidth.appendChild(doc.createTextNode("960"))
imageheight.appendChild(doc.createTextNode("540"))
imagedepth.appendChild(doc.createTextNode("3"))
sizeimage.appendChild(imagedepth)
sizeimage.appendChild(imagewidth)
sizeimage.appendChild(imageheight)
annotation.appendChild(sizeimage)
target_list=child.getchildren()[0] #获取target_list
#print(target_list.tag)
object=None
for target in target_list:
if(target.tag=="target"):
#print(target.tag)
object = doc.createElement('object')
bndbox = doc.createElement("bndbox")
for target_child in target:
if(target_child.tag=="box"):
xmin = doc.createElement("xmin")
ymin = doc.createElement("ymin")
xmax = doc.createElement("xmax")
ymax = doc.createElement("ymax")
xmin_value=int(float(target_child.attrib["left"]))
ymin_value=int(float(target_child.attrib["top"]))
box_width_value=int(float(target_child.attrib["width"]))
box_height_value=int(float(target_child.attrib["height"]))
xmin.appendChild(doc.createTextNode(str(xmin_value)))
ymin.appendChild(doc.createTextNode(str(ymin_value)))
if(xmin_value+box_width_value>960):
xmax.appendChild(doc.createTextNode(str(960)))
else:
xmax.appendChild(doc.createTextNode(str(xmin_value+box_width_value)))
if(ymin_value+box_height_value>540):
ymax.appendChild(doc.createTextNode(str(540)))
else:
ymax.appendChild(doc.createTextNode(str(ymin_value+box_height_value)))
if(target_child.tag=="attribute"):
name = doc.createElement('name')
pose=doc.createElement('pose')
truncated=doc.createElement('truncated')
difficult=doc.createElement('difficult')
TYPE= target_child.attrib['vehicle_type']
name.appendChild(doc.createTextNode(TYPE))
pose.appendChild(doc.createTextNode("Left")) #随意指定
truncated.appendChild(doc.createTextNode("0")) #随意指定
difficult.appendChild(doc.createTextNode("0")) #随意指定
object.appendChild(name)
object.appendChild(pose)
object.appendChild(truncated)
object.appendChild(difficult)
bndbox.appendChild(xmin)
bndbox.appendChild(ymin)
bndbox.appendChild(xmax)
bndbox.appendChild(ymax)
object.appendChild(bndbox)
annotation.appendChild(object)
file_path_out=os.path.join(file_path,output_file_name)
f = open(file_path_out, 'w')
f.write(doc.toprettyxml(indent=' ' * 4))
f.close()
num=num+1
return num
'''''
画方框
'''
def bboxes_draw_on_img(img, bbox, color=[255, 0, 0], thickness=2):
# Draw bounding box...
print(bbox)
p1 = (int(float(bbox["xmin"])), int(float(bbox["ymin"])))
p2 = (int(float(bbox["xmax"])), int(float(bbox["ymax"])))
cv2.rectangle(img, p1, p2, color, thickness)
def visualization_image(image_name,xml_file_name):
tree = ET.parse(xml_file_name)
root = tree.getroot()
object_lists=[]
for child in root:
if(child.tag=="folder"):
print(child.tag, child.text)
elif (child.tag == "filename"):
print(child.tag, child.text)
elif (child.tag == "size"): #解析size
for size_child in child:
if(size_child.tag=="width"):
print(size_child.tag,size_child.text)
elif (size_child.tag == "height"):
print(size_child.tag, size_child.text)
elif (size_child.tag == "depth"):
print(size_child.tag, size_child.text)
elif (child.tag == "object"): #解析object
singleObject={}
for object_child in child:
if (object_child.tag == "name"):
# print(object_child.tag,object_child.text)
singleObject["name"] = object_child.text
elif (object_child.tag == "bndbox"):
for bndbox_child in object_child:
if (bndbox_child.tag == "xmin"):
singleObject["xmin"] = bndbox_child.text
# print(bndbox_child.tag, bndbox_child.text)
elif (bndbox_child.tag == "ymin"):
# print(bndbox_child.tag, bndbox_child.text)
singleObject["ymin"] = bndbox_child.text
elif (bndbox_child.tag == "xmax"):
singleObject["xmax"] = bndbox_child.text
elif (bndbox_child.tag == "ymax"):
singleObject["ymax"] = bndbox_child.text
object_length=len(singleObject)
if(object_length>0):
object_lists.append(singleObject)
img = cv2.imread(image_name)
for object_coordinate in object_lists:
bboxes_draw_on_img(img,object_coordinate)
cv2.imshow("capture", img)
cv2.waitKey (0)
cv2.destroyAllWindows()
if ( __name__ == "__main__"):
#print("main")
basePath="DETRAC-Train-Annotations-XML"
totalxml=os.listdir(basePath)
total_num=0
flag=False
print("正在转换")
saveBasePath="xml_test"
if os.path.exists(saveBasePath)==False: #判断文件夹是否存在
os.makedirs(saveBasePath)
#ConvertVOCXml(file_path="samplexml",file_name="000009.xml")
# Start time
start = time.time()
log=open("xml_statistical.txt","w") #分析日志，进行排错
for xml in totalxml:
file_name=os.path.join(basePath,xml)
print(file_name)
num=ConvertVOCXml(file_path=saveBasePath,file_name=file_name)
print(num)
total_num=total_num+num
log.write(file_name+" "+str(num)+"\n")
# End time
end = time.time()
seconds=end-start
print( "Time taken : {0} seconds".format(seconds))
print(total_num)
log.write(str(total_num)+"\n")
visualization_image("Insight-MVT_Annotation_Train/MVI_40212/img00396.jpg","xml_test/MVI_40212__img00396.xml")