在你自己项目里面创建一个新的py文件，命名你随意。
import os
import shutil
import random
random.seed(0)
def split_data(file_path,xml_path, new_file_path, train_rate, val_rate, test_rate):
each_class_image = []
each_class_label = []
for image in os.listdir(file_path):
each_class_image.append(image)
for label in os.listdir(xml_path):
each_class_label.append(label)
data=list(zip(each_class_image,each_class_label))
total = len(each_class_image)
random.shuffle(data)
each_class_image,each_class_label=zip(*data)
train_images = each_class_image[0:int(train_rate * total)]
val_images = each_class_image[int(train_rate * total):int((train_rate + val_rate) * total)]
test_images = each_class_image[int((train_rate + val_rate) * total):]
train_labels = each_class_label[0:int(train_rate * total)]
val_labels = each_class_label[int(train_rate * total):int((train_rate + val_rate) * total)]
test_labels = each_class_label[int((train_rate + val_rate) * total):]
for image in train_images:
print(image)
old_path = file_path + '/' + image
new_path1 = new_file_path + '/' + 'train' + '/' + 'images'
if not os.path.exists(new_path1):
os.makedirs(new_path1)
new_path = new_path1 + '/' + image
shutil.copy(old_path, new_path)
for label in train_labels:
print(label)
old_path = xml_path + '/' + label
new_path1 = new_file_path + '/' + 'train' + '/' + 'labels'
if not os.path.exists(new_path1):
os.makedirs(new_path1)
new_path = new_path1 + '/' + label
shutil.copy(old_path, new_path)
for image in val_images:
old_path = file_path + '/' + image
new_path1 = new_file_path + '/' + 'val' + '/' + 'images'
if not os.path.exists(new_path1):
os.makedirs(new_path1)
new_path = new_path1 + '/' + image
shutil.copy(old_path, new_path)
for label in val_labels:
old_path = xml_path + '/' + label
new_path1 = new_file_path + '/' + 'val' + '/' + 'labels'
if not os.path.exists(new_path1):
os.makedirs(new_path1)
new_path = new_path1 + '/' + label
shutil.copy(old_path, new_path)
for image in test_images:
old_path = file_path + '/' + image
new_path1 = new_file_path + '/' + 'test' + '/' + 'images'
if not os.path.exists(new_path1):
os.makedirs(new_path1)
new_path = new_path1 + '/' + image
shutil.copy(old_path, new_path)
for label in test_labels:
old_path = xml_path + '/' + label
new_path1 = new_file_path + '/' + 'test' + '/' + 'labels'
if not os.path.exists(new_path1):
os.makedirs(new_path1)
new_path = new_path1 + '/' + label
shutil.copy(old_path, new_path)
if __name__ == '__main__':
file_path = "D:/Files/dataSet/drone_images"
xml_path = 'D:/Files/dataSet/drone_labels'
new_file_path = "D:/Files/dataSet/droneData"
split_data(file_path,xml_path, new_file_path, train_rate=0.6, val_rate=0.2, test_rate=0.2) #数据集划分6：2：2
以上代码参考的：
(55条消息) 【yolov5】将标注好的数据集进行划分（附完整可运行python代码）_yolov5数据集划分_freezing?的博客-CSDN博客
上面代码改一下file_path 、xml_path 、new_file_path 就可以运行了。
直接划分了数据集 很方便！
显示这样则划分成功
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