update

spilt_train_val.py

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+
+import os
+import random
+import argparse
+
+parser = argparse.ArgumentParser()
+#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
+parser.add_argument('--xml_path', default='/home/nxy/nxy_project/python_project/Data/paper_data/Annotations', type=str, help='input xml label path')
+#数据集的划分，地址选择自己数据下的ImageSets/Main
+parser.add_argument('--txt_path', default='/home/nxy/nxy_project/python_project/Data/paper_data/ImageSets/Main', type=str, help='output txt label path')
+opt = parser.parse_args()
+
+trainval_percent = 1.0
+train_percent = 0.8
+xmlfilepath = opt.xml_path
+txtsavepath = opt.txt_path
+total_xml = os.listdir(xmlfilepath)
+if not os.path.exists(txtsavepath):
+    os.makedirs(txtsavepath)
+
+num = len(total_xml)
+list_index = range(num)
+tv = int(num * trainval_percent)
+tr = int(tv * train_percent)
+trainval = random.sample(list_index, tv)
+train = random.sample(trainval, tr)
+
+file_trainval = open(txtsavepath + '/trainval.txt', 'w')
+file_test = open(txtsavepath + '/test.txt', 'w')
+file_train = open(txtsavepath + '/train.txt', 'w')
+file_val = open(txtsavepath + '/val.txt', 'w')
+
+for i in list_index:
+    name = total_xml[i][:-4] + '\n'
+    if i in trainval:
+        file_trainval.write(name)
+        if i in train:
+            file_train.write(name)
+        else:
+            file_val.write(name)
+    else:
+        file_test.write(name)
+
+file_trainval.close()
+file_train.close()
+file_val.close()
+file_test.close()