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Python讀取VOC中的xml目標(biāo)框?qū)嵗?/h1>

更新時(shí)間：2020年03月10日 10:06:50 作者：Peanut_范

這篇文章主要介紹了Python讀取VOC中的xml目標(biāo)框?qū)嵗?，具有很好的參考價(jià)值，希望對大家有所幫助。一起跟隨小編過來看看吧

代碼：

#!/usr/bin/python
# -*- coding: UTF-8 -*-
# get annotation object bndbox location
import os
import cv2
try:
  import xml.etree.cElementTree as ET #解析xml的c語言版的模塊
except ImportError:
  import xml.etree.ElementTree as ET
											     
##get object annotation bndbox loc start 
def GetAnnotBoxLoc(AnotPath):#AnotPath VOC標(biāo)注文件路徑
  tree = ET.ElementTree(file=AnotPath) #打開文件，解析成一棵樹型結(jié)構(gòu)
  root = tree.getroot()#獲取樹型結(jié)構(gòu)的根
  ObjectSet=root.findall('object')#找到文件中所有含有object關(guān)鍵字的地方，這些地方含有標(biāo)注目標(biāo)
  ObjBndBoxSet={} #以目標(biāo)類別為關(guān)鍵字，目標(biāo)框?yàn)橹到M成的字典結(jié)構(gòu)
  for Object in ObjectSet:
    ObjName=Object.find('name').text
    BndBox=Object.find('bndbox')
    x1 = int(BndBox.find('xmin').text)#-1 #-1是因?yàn)槌绦蚴前?作為起始位置的
    y1 = int(BndBox.find('ymin').text)#-1
    x2 = int(BndBox.find('xmax').text)#-1
    y2 = int(BndBox.find('ymax').text)#-1
    BndBoxLoc=[x1,y1,x2,y2]
    if ObjName in ObjBndBoxSet:
    	ObjBndBoxSet[ObjName].append(BndBoxLoc)#如果字典結(jié)構(gòu)中含有這個(gè)類別了，那么這個(gè)目標(biāo)框要追加到其值的末尾
    else:
    	ObjBndBoxSet[ObjName]=[BndBoxLoc]#如果字典結(jié)構(gòu)中沒有這個(gè)類別，那么這個(gè)目標(biāo)框就直接賦值給其值吧
  return ObjBndBoxSet
##get object annotation bndbox loc end

def display(objBox,pic):
  img = cv2.imread(pic)
  
  for key in objBox.keys():
    for i in range(len(objBox[key])):
      cv2.rectangle(img, (objBox[key][i][0],objBox[key][i][1]), (objBox[key][i][2], objBox[key][i][3]), (0, 0, 255), 2)    
      cv2.putText(img, key, (objBox[key][i][0],objBox[key][i][1]), cv2.FONT_HERSHEY_COMPLEX, 1, (255,0,0), 1)
  cv2.imshow('img',img)
  cv2.imwrite('display.jpg',img)
  cv2.waitKey(0)


if __name__== '__main__':
  pic = r"./VOCdevkit/VOC2007/JPEGImages/000282.jpg"
  ObjBndBoxSet=GetAnnotBoxLoc(r"./VOCdevkit/VOC2007/Annotations/000282.xml")
  print(ObjBndBoxSet)
  display(ObjBndBoxSet,pic)

輸出結(jié)果：

{'chair': [[335, 263, 484, 373]], 'person': [[327, 104, 476, 300], [232, 57, 357, 374], [3, 32, 199, 374], [58, 139, 296, 374]]}

圖示：

補(bǔ)充知識(shí)：使用python將voc類型標(biāo)注xml文件對圖片進(jìn)行目標(biāo)還原，以及批量裁剪特定類

使用標(biāo)注工具如labelimg對圖片物體進(jìn)行voc類型標(biāo)注，會(huì)生成xml文件，如何判斷別人的數(shù)據(jù)集做的好不好，可以用以下代碼進(jìn)行目標(biāo)還原。

import xml.etree.cElementTree as ET
import cv2
import os
import glob

def GetAnnotBoxLoc(AnotPath):
  tree = ET.ElementTree(file=AnotPath)
  root = tree.getroot()
  ObjectSet=root.findall('object')
  ObjBndBoxSet={} 
  for Object in ObjectSet:
    ObjName=Object.find('name').text
    BndBox=Object.find('bndbox')
    x1 = int(BndBox.find('xmin').text)
    y1 = int(BndBox.find('ymin').text)
    x2 = int(BndBox.find('xmax').text)
    y2 = int(BndBox.find('ymax').text)
    BndBoxLoc=[x1,y1,x2,y2]
    if ObjName in ObjBndBoxSet:
    	ObjBndBoxSet[ObjName].append(BndBoxLoc)
    else:
    	ObjBndBoxSet[ObjName]=[BndBoxLoc]
  return ObjBndBoxSet

def GetAnnotName(AnotPath):
  tree = ET.ElementTree(file=AnotPath) 
  root = tree.getroot()
  path=root.find('path').text
  return path

def Drawpic(xml_path,result_path):
  n = 0
  xmls = glob.glob(os.path.join(xml_path, '*.xml'))
  for xml in xmls:
    n = n + 1
    box=GetAnnotBoxLoc(xml)
    path=GetAnnotName(xml)
    img = cv2.imread(path)
    for classes in list(box.keys()):
      for boxes in box[classes]:
        if classes == "bad1":
          cv2.rectangle(img,(int(boxes[0]),int(boxes[1])),(int(boxes[2]),int(boxes[3])),(255,0,0),3) #blue
        if classes == "bad2":
          cv2.rectangle(img,(int(boxes[0]),int(boxes[1])),(int(boxes[2]),int(boxes[3])),(0,255,0),3) #green
        if classes == "bad3":
          cv2.rectangle(img,(int(boxes[0]),int(boxes[1])),(int(boxes[2]),int(boxes[3])),(0,0,255),3) #red
    cv2.imwrite(result_path+"/"+str(n)+"_result.jpg", img)
    print(path,"還原成功")

Drawpic("/home/wxy/Dashboard/dataset/VOCdevkit/VOC2012/Annotations","/home/wxy/Dashboard/dataset/VOCdevkit/VOC2012/test")

使用labelimg對圖像進(jìn)行標(biāo)注，folder目錄需要修改一下

import xml.etree.ElementTree as ET
import os

for i in os.listdir('/home/wxy/Dashboard/dataset/VOCdevkit/VOC2012/Annotations'):
  tree = ET.parse('/home/wxy/Dashboard/dataset/VOCdevkit/VOC2012/Annotations'+'/'+i)
  root = tree.getroot()
  print(root.find('folder').text)
  root.find('folder').text = 'VOC2012'
  print(root.find('folder').text)
  tree.write('/home/wxy/Dashboard/dataset/VOCdevkit/VOC2012/Annotations'+'/'+i)

批量裁剪特定類，xml.dom.minidom好像比xml.etree.cElementTree好用啊。

#coding=utf-8
import xml.dom.minidom
import cv2
import os

for name in os.listdir("./Annotations/"):
  dom=xml.dom.minidom.parse("./Annotations/"+name)
  root=dom.documentElement
  object_name=root.getElementsByTagName('name')
  if(object_name[0].firstChild.data == "normal"):
    print(name)
    xmin=root.getElementsByTagName('xmin')
    ymin=root.getElementsByTagName('ymin')
    xmax=root.getElementsByTagName('xmax')
    ymax=root.getElementsByTagName('ymax')

    x_min = int(xmin[0].firstChild.data)
    y_min = int(ymin[0].firstChild.data)
    x_max = int(xmax[0].firstChild.data)
    y_max = int(ymax[0].firstChild.data)

    img=cv2.imread("./JPEGImages/"+name[:-4]+".jpg")
    cropped=img[y_min:y_max,x_min:x_max]
    cv2.imwrite("./cut_jpg/"+name[:-4]+".jpg", cropped)

以上這篇Python讀取VOC中的xml目標(biāo)框?qū)嵗褪切【幏窒斫o大家的全部內(nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持腳本之家。

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