#将数据集中的标注文件格式从txt转成xml
# coding: utf-8
# author: HXY
# 2020-4-17"""
该脚本用于visdrone数据处理；
将annatations文件夹中的txt标签文件转换为XML文件；
txt标签内容为：
<bbox_left>,<bbox_top>,<bbox_width>,<bbox_height>,<score>,<object_category>,<truncation>,<occlusion>
类别：
ignored regions(0), pedestrian(1),
people(2), bicycle(3), car(4), van(5),
truck(6), tricycle(7), awning-tricycle(8),
bus(9), motor(10), others(11)
"""import os
import cv2
import time
from xml.dom import minidomname_dict = {'0': 'ignored regions', '1': 'pedestrian', '2': 'people','3': 'bicycle', '4': 'car', '5': 'van', '6': 'truck','7': 'tricycle', '8': 'awning-tricycle', '9': 'bus','10': 'motor', '11': 'others'}def transfer_to_xml(pic, txt, file_name):xml_save_path = 'F:/bling/data/VisDrone2019-DET-train/Annotations_XML' # 生成的xml文件存储的文件夹if not os.path.exists(xml_save_path):os.mkdir(xml_save_path)img = cv2.imread(pic)img_w = img.shape[1]img_h = img.shape[0]img_d = img.shape[2]doc = minidom.Document()annotation = doc.createElement("annotation")doc.appendChild(annotation)folder = doc.createElement('folder')folder.appendChild(doc.createTextNode('visdrone'))annotation.appendChild(folder)filename = doc.createElement('filename')filename.appendChild(doc.createTextNode(file_name))annotation.appendChild(filename)source = doc.createElement('source')database = doc.createElement('database')database.appendChild(doc.createTextNode("Unknown"))source.appendChild(database)annotation.appendChild(source)size = doc.createElement('size')width = doc.createElement('width')width.appendChild(doc.createTextNode(str(img_w)))size.appendChild(width)height = doc.createElement('height')height.appendChild(doc.createTextNode(str(img_h)))size.appendChild(height)depth = doc.createElement('depth')depth.appendChild(doc.createTextNode(str(img_d)))size.appendChild(depth)annotation.appendChild(size)segmented = doc.createElement('segmented')segmented.appendChild(doc.createTextNode("0"))annotation.appendChild(segmented)with open(txt, 'r') as f:lines = [f.readlines()]for line in lines:for boxes in line:box = boxes.strip('/n')box = box.split(',')x_min = box[0]y_min = box[1]x_max = int(box[0]) + int(box[2])y_max = int(box[1]) + int(box[3])object_name = name_dict[box[5]]# if object_name is 'ignored regions' or 'others':# continueobject = doc.createElement('object')nm = doc.createElement('name')nm.appendChild(doc.createTextNode(object_name))object.appendChild(nm)pose = doc.createElement('pose')pose.appendChild(doc.createTextNode("Unspecified"))object.appendChild(pose)truncated = doc.createElement('truncated')truncated.appendChild(doc.createTextNode("1"))object.appendChild(truncated)difficult = doc.createElement('difficult')difficult.appendChild(doc.createTextNode("0"))object.appendChild(difficult)bndbox = doc.createElement('bndbox')xmin = doc.createElement('xmin')xmin.appendChild(doc.createTextNode(x_min))bndbox.appendChild(xmin)ymin = doc.createElement('ymin')ymin.appendChild(doc.createTextNode(y_min))bndbox.appendChild(ymin)xmax = doc.createElement('xmax')xmax.appendChild(doc.createTextNode(str(x_max)))bndbox.appendChild(xmax)ymax = doc.createElement('ymax')ymax.appendChild(doc.createTextNode(str(y_max)))bndbox.appendChild(ymax)object.appendChild(bndbox)annotation.appendChild(object)with open(os.path.join(xml_save_path, file_name + '.xml'), 'w') as x:x.write(doc.toprettyxml())x.close()f.close()if __name__ == '__main__':t = time.time()print('Transfer .txt to .xml...ing....')txt_folder = 'F:/bling/data/VisDrone2019-DET-train/annotations' # visdrone txt标签文件夹txt_file = os.listdir(txt_folder)img_folder = 'F:/bling/data/VisDrone2019-DET-train/images' # visdrone 照片所在文件夹for txt in txt_file:txt_full_path = os.path.join(txt_folder, txt)img_full_path = os.path.join(img_folder, txt.split('.')[0] + '.jpg')try:transfer_to_xml(img_full_path, txt_full_path, txt.split('.')[0])except Exception as e:print(e)print("Transfer .txt to .XML sucessed. costed: {:.3f}s...".format(time.time() - t))
#利用xml文件解析图片（画框）
import os
import os.path
import xml.etree.cElementTree as ET
import cv2
def draw(image_path, xml_path, root_saved_path):"""图片根据标注画框"""src_img_path = image_pathsrc_ann_path = xml_pathfor file in os.listdir(src_ann_path):# print(file)file_name, suffix = os.path.splitext(file)# import pdb# pdb.set_trace()if suffix == '.xml':# print(file)xml_path = os.path.join(src_ann_path, file)image_path = os.path.join(src_img_path, file_name+'.jpg')img = cv2.imread(image_path)tree = ET.parse(xml_path)root = tree.getroot()# import pdb# pdb.set_trace()for obj in root.iter('object'):name = obj.find('name').textxml_box = obj.find('bndbox')x1 = int(xml_box.find('xmin').text)x2 = int(xml_box.find('xmax').text)y1 = int(xml_box.find('ymin').text)y2 = int(xml_box.find('ymax').text)cv2.rectangle(img, (x1, y1), (x2, y2), (255, 0, 0), thickness=2)# 字为绿色# cv2.putText(img, name, (x1, y1), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), thickness=2)cv2.imwrite(os.path.join(root_saved_path, file_name+'.jpg'), img)if __name__ == '__main__':image_path = "F:/bling/data/VisDrone2019-DET-train/images"xml_path = "F:/bling/data/VisDrone2019-DET-train/Annotations_XML"root_saved_path = "F:/bling/data/VisDrone2019-DET-train/result"draw(image_path, xml_path, root_saved_path)