python:批量统计xml中各类目标的数量案例

 # -*- coding:utf-8 -*- 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='C:/Users/nansbas/Desktop/hebin/03/' 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。')

 # -*- 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。') 

 # -*- 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 + file<strong style="color:transparent">来源gaodai#ma#com搞@@代~&码*网</strong>name) 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-600 '.format(name)) ims_info[name] = read_image(image_path, name + '.jpg-600') 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：*******\n'.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={}\n'.format(obj_avg[name][5])) print('信息统计计算完毕。') 

 #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\rockhuang\Desktop\Annotations\000003.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)