56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
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import os
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import random
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import argparse
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parser = argparse.ArgumentParser()
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#xml文件的地址，根据自己的数据进行修改 xml一般存放在Annotations下
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parser.add_argument('--xml_path', default='paper_data/Annotations', type=str, help='input xml label path')
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#数据集的划分，地址选择自己数据下的ImageSets/Main
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parser.add_argument('--txt_path', default='paper_data/ImageSets/Main', type=str, help='output txt label path')
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opt = parser.parse_args()
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trainval_percent = 1.0
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train_percent = 0.8
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xmlfilepath = opt.xml_path
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txtsavepath = opt.txt_path
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total_xml = os.listdir(xmlfilepath)
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if not os.path.exists(txtsavepath):
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os.makedirs(txtsavepath)
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num = len(total_xml)
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list_index = range(num)
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tv = int(num * trainval_percent)
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tr = int(tv * train_percent)
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trainval = random.sample(list_index, tv)
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train = random.sample(trainval, tr)
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file_trainval = open(txtsavepath + '/trainval.txt', 'w')
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file_test = open(txtsavepath + '/test.txt', 'w')
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file_train = open(txtsavepath + '/train.txt', 'w')
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file_val = open(txtsavepath + '/val.txt', 'w')
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addtrain_path = r"D:\PycharmProjects\Zhanting\yolov5_1\img_data\getimg_6.30"
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for i in list_index:
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name = total_xml[i][:-4] + '\n'
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addimg_name = name.strip() + ".jpg"
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# print(addimg_name,type(addimg_name),len(addimg_name))
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if i in trainval:
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file_trainval.write(name)
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if i in train:
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file_train.write(name)
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else:
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if addimg_name in os.listdir(addtrain_path):#把某些被划分到验证集的数据加入训练集中
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print("addimg_name:",addimg_name)
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file_train.write(name)
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else:
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file_val.write(name)
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# file_val.write(name)
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else:
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file_test.write(name)
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file_trainval.close()
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file_train.close()
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file_val.close()
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file_test.close()
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