看了大神统计voc数据集标签框后，针对自己标注数据集，灵活应用 ，感谢！
看代码吧~
import re
import os
import xml.etree.ElementTree as ET
class1 = "answer"
class2 = "hand"
class3 = "write"
class4 = "music"
class5 = "phone"
"""class6 = "bus"
class7 = "car"
class8 = "cat"
class9 = "chair"
class10 = "cow"
class11 = "diningtable"
class12 = "dog"
class13 = "horse"
class14 = "motorbike"
class15 = "person"
class16 = "pottedplant"
class17 = "sheep"
class18 = "sofa"
class19 = "train"
class20 = "tvmonitor"
"""
annotation_folder = "/home/.../train/" #改为自己标签文件夹的路径
#annotation_folder = "/home/.../VOC2007/Annotations/"
list = os.listdir(annotation_folder)
def file_name(file_dir):
L = []
for root, dirs, files in os.walk(file_dir):
for file in files:
if os.path.splitext(file)[1] == ".xml":
L.append(os.path.join(root, file))
return L
total_number1 = 0
total_number2 = 0
total_number3 = 0
total_number4 = 0
total_number5 = 0
"""total_number6 = 0
total_number7 = 0
total_number8 = 0
total_number9 = 0
total_number10 = 0
total_number11 = 0
total_number12 = 0
total_number13 = 0
total_number14 = 0
total_number15 = 0
total_number16 = 0
total_number17 = 0
total_number18 = 0
total_number19 = 0
total_number20 = 0"""
total = 0
total_pic=0
pic_num1 = 0
pic_num2 = 0
pic_num3 = 0
pic_num4 = 0
pic_num5 = 0
"""pic_num6 = 0
pic_num7 = 0
pic_num8 = 0
pic_num9 = 0
pic_num10 = 0
pic_num11 = 0
pic_num12 = 0
pic_num13 = 0
pic_num14 = 0
pic_num15 = 0
pic_num16 = 0
pic_num17 = 0
pic_num18 = 0
pic_num19 = 0
pic_num20 = 0"""
flag1 = 0
flag2 = 0
flag3 = 0
flag4 = 0
flag5 = 0
"""flag6 = 0
flag7 = 0
flag8 = 0
flag9 = 0
flag10 = 0
flag11 = 0
flag12 = 0
flag13 = 0
flag14 = 0
flag15= 0
flag16 = 0
flag17 = 0
flag18 = 0
flag19 = 0
flag20 = 0"""
xml_dirs = file_name(annotation_folder)
for i in range(0, len(xml_dirs)):
print(xml_dirs[i])
#path = os.path.join(annotation_folder,list[i])
#print(path)
annotation_file = open(xml_dirs[i]).read()
root = ET.fromstring(annotation_file)
#tree = ET.parse(annotation_file)
#root = tree.getroot()
total_pic = total_pic + 1
for obj in root.findall("object"):
label = obj.find("name").text
if label == class1:
total_number1=total_number1+1
flag1=1
total = total + 1
#print("bounding box number:", total_number1)
if label == class2:
total_number2=total_number2+1
flag2=1
total = total + 1
if label == class3:
total_number3=total_number3+1
flag3=1
total = total + 1
if label == class4:
total_number4=total_number4+1
flag4=1
total = total + 1
if label == class5:
total_number5=total_number5+1
flag5=1
total = total + 1
"""if label == class6:
total_number6=total_number6+1
flag6=1
total = total + 1
if label == class7:
total_number7=total_number7+1
flag7=1
total = total + 1
if label == class8:
total_number8=total_number8+1
flag8=1
total = total + 1
if label == class9:
total_number9=total_number9+1
flag9=1
total = total + 1
if label == class10:
total_number10=total_number10+1
flag10=1
total = total + 1
if label == class11:
total_number11=total_number11+1
flag11=1
total = total + 1
if label == class12:
total_number12=total_number12+1
flag12=1
total = total + 1
if label == class13:
total_number13=total_number13+1
flag13=1
total = total + 1
if label == class14:
total_number14=total_number14+1
flag14=1
total = total + 1
if label == class15:
total_number15=total_number15+1
flag15=1
total = total + 1
if label == class16:
total_number16=total_number16+1
flag16=1
total = total + 1
if label == class17:
total_number17=total_number17+1
flag17=1
total = total + 1
if label == class18:
total_number18=total_number18+1
flag18=1
total = total + 1
if label == class19:
total_number19=total_number19+1
flag19=1
total = total + 1
if label == class20:
total_number20=total_number20+1
flag20=1
total = total + 1"""
if flag1==1:
pic_num1=pic_num1+1
#print("pic number:", pic_num1)
flag1=0
if flag2==1:
pic_num2=pic_num2+1
flag2=0
if flag3==1:
pic_num3=pic_num3+1
flag3=0
if flag4==1:
pic_num4=pic_num4+1
flag4=0
if flag5==1:
pic_num5=pic_num5+1
flag5=0
"""if flag6==1:
pic_num6=pic_num6+1
flag6=0
if flag7==1:
pic_num7=pic_num7+1
flag7=0
if flag8==1:
pic_num8=pic_num8+1
flag8=0
if flag9==1:
pic_num9=pic_num9+1
flag9=0
if flag10==1:
pic_num10=pic_num10+1
flag10=0
if flag11==1:
pic_num11=pic_num11+1
flag11=0
if flag12==1:
pic_num12=pic_num12+1
flag12=0
if flag13==1:
pic_num13=pic_num13+1
flag13=0
if flag14==1:
pic_num14=pic_num14+1
flag14=0
if flag15==1:
pic_num15=pic_num15+1
flag15=0
if flag16==1:
pic_num16=pic_num16+1
flag16=0
if flag17==1:
pic_num17=pic_num17+1
flag17=0
if flag18==1:
pic_num18=pic_num18+1
flag18=0
if flag19==1:
pic_num19=pic_num19+1
flag19=0
if flag20==1:
pic_num20=pic_num20+1
flag20=0"""
print(class1,pic_num1,total_number1)
print(class2,pic_num2,total_number2)
print(class3,pic_num3, total_number3)
print(class4,pic_num4, total_number4)
print(class5,pic_num5, total_number5)
"""print(class6,pic_num6, total_number6)
print(class7,pic_num7, total_number7)
print(class8,pic_num8, total_number8)
print(class9,pic_num9, total_number9)
print(class10,pic_num10, total_number10)
print(class11,pic_num11,total_number11)
print(class12,pic_num12,total_number12)
print(class13,pic_num13, total_number13)
print(class14,pic_num14, total_number14)
print(class15,pic_num15, total_number15)
print(class16,pic_num16, total_number16)
print(class17,pic_num17, total_number17)
print(class18,pic_num18, total_number18)
print(class19,pic_num19, total_number19)
print(class20,pic_num20, total_number20)"""
print("total", total_pic, total)
补充：【数据集处理】Python对目标检测数据集xml文件操作（统计目标种类、数量、面积、比例等&修改目标名字）
1. 根据xml文件统计目标种类以及数量
# -*- coding:utf-8 -*-
#根据xml文件统计目标种类以及数量
import os
import xml.etree.ElementTree as ET
import numpy as np
np.set_printoptions(suppress=True, threshold=np.nan)
import matplotlib
from PIL import Image
def parse_obj(xml_path, filename):
tree=ET.parse(xml_path+filename)
objects=[]
for obj in tree.findall("object"):
obj_struct={}
obj_struct["name"]=obj.find("name").text
objects.append(obj_struct)
return objects
def read_image(image_path, filename):
im=Image.open(image_path+filename)
W=im.size[0]
H=im.size[1]
area=W*H
im_info=[W,H,area]
return im_info
if __name__ == "__main__":
xml_path="/home/dlut/网络/make_database/数据集――合集/VOCdevkit/VOC2018/Annotations/"
filenamess=os.listdir(xml_path)
filenames=[]
for name in filenamess:
name=name.replace(".xml","")
filenames.append(name)
recs={}
obs_shape={}
classnames=[]
num_objs={}
obj_avg={}
for i,name in enumerate(filenames):
recs[name]=parse_obj(xml_path, name+ ".xml" )
for name in filenames:
for object in recs[name]:
if object["name"] not in num_objs.keys():
num_objs[object["name"]]=1
else:
num_objs[object["name"]]+=1
if object["name"] not in classnames:
classnames.append(object["name"])
for name in classnames:
print("{}:{}个".format(name,num_objs[name]))
print("信息统计算完毕。")
2.根据xml文件统计目标的平均长度、宽度、面积以及每一个目标在原图中的占比
# -*- coding:utf-8 -*-
#统计
# 计算每一个目标在原图中的占比
# 计算目标的平均长度、
# 计算平均宽度，
# 计算平均面积、
# 计算目标平均占比
import os
import xml.etree.ElementTree as ET
import numpy as np
#np.set_printoptions(suppress=True, threshold=np.nan) #10,000,000
np.set_printoptions(suppress=True, threshold=10000000) #10,000,000
import matplotlib
from PIL import Image
def parse_obj(xml_path, filename):
tree = ET.parse(xml_path + filename)
objects = []
for obj in tree.findall("object"):
obj_struct = {}
obj_struct["name"] = obj.find("name").text
bbox = obj.find("bndbox")
obj_struct["bbox"] = [int(bbox.find("xmin").text),
int(bbox.find("ymin").text),
int(bbox.find("xmax").text),
int(bbox.find("ymax").text)]
objects.append(obj_struct)
return objects
def read_image(image_path, filename):
im = Image.open(image_path + filename)
W = im.size[0]
H = im.size[1]
area = W * H
im_info = [W, H, area]
return im_info
if __name__ == "__main__":
image_path = "/home/dlut/网络/make_database/数据集――合集/VOCdevkit/VOC2018/JPEGImages/"
xml_path = "/home/dlut/网络/make_database/数据集――合集/VOCdevkit/VOC2018/Annotations/"
filenamess = os.listdir(xml_path)
filenames = []
for name in filenamess:
name = name.replace(".xml", "")
filenames.append(name)
print(filenames)
recs = {}
ims_info = {}
obs_shape = {}
classnames = []
num_objs={}
obj_avg = {}
for i, name in enumerate(filenames):
print("正在处理 {}.xml ".format(name))
recs[name] = parse_obj(xml_path, name + ".xml")
print("正在处理 {}.jpg ".format(name))
ims_info[name] = read_image(image_path, name + ".jpg")
print("所有信息收集完毕。")
print("正在处理信息......")
for name in filenames:
im_w = ims_info[name][0]
im_h = ims_info[name][1]
im_area = ims_info[name][2]
for object in recs[name]:
if object["name"] not in num_objs.keys():
num_objs[object["name"]] = 1
else:
num_objs[object["name"]] += 1
#num_objs += 1
ob_w = object["bbox"][2] - object["bbox"][0]
ob_h = object["bbox"][3] - object["bbox"][1]
ob_area = ob_w * ob_h
w_rate = ob_w / im_w
h_rate = ob_h / im_h
area_rate = ob_area / im_area
if not object["name"] in obs_shape.keys():
obs_shape[object["name"]] = ([[ob_w,
ob_h,
ob_area,
w_rate,
h_rate,
area_rate]])
else:
obs_shape[object["name"]].append([ob_w,
ob_h,
ob_area,
w_rate,
h_rate,
area_rate])
if object["name"] not in classnames:
classnames.append(object["name"]) # 求平均
for name in classnames:
obj_avg[name] = (np.array(obs_shape[name]).sum(axis=0)) / num_objs[name]
print("{}的情况如下：*******
".format(name))
print(" 目标平均W={}".format(obj_avg[name][0]))
print(" 目标平均H={}".format(obj_avg[name][1]))
print(" 目标平均area={}".format(obj_avg[name][2]))
print(" 目标平均与原图的W比例={}".format(obj_avg[name][3]))
print(" 目标平均与原图的H比例={}".format(obj_avg[name][4]))
print(" 目标平均原图面积占比={}
".format(obj_avg[name][5]))
print("信息统计计算完毕。")
3.修改xml文件中某个目标的名字为另一个名字
#修改xml文件中的目标的名字，
import os, sys
import glob
from xml.etree import ElementTree as ET
# 批量读取Annotations下的xml文件
# per=ET.parse(r"C:Users
ockhuangDesktopAnnotations00003.xml")
xml_dir = r"/home/dlut/网络/make_database/数据集――合集/VOCdevkit/VOC2018/Annotations"
xml_list = glob.glob(xml_dir + "/*.xml")
for xml in xml_list:
print(xml)
per = ET.parse(xml)
p = per.findall("/object")
for oneper in p: # 找出person节点
child = oneper.getchildren()[0] # 找出person节点的子节点
if child.text == "PinNormal": #需要修改的名字
child.text = "normal bolt" #修改成什么名字
if child.text == "PinDefect": #需要修改的名字
child.text = "defect bolt-1" #修改成什么名字
per.write(xml)
print(child.tag, ":", child.text)
修改为：
以上为个人经验，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/weixin_41991401/article/details/89517903
