from torchvision.transforms import transforms import pandas as pd file_path=os.path.join(r'E:\python存储\leaves\images') Image_list=[] labels_list=[] a={} for i in range(0,18352): image_path=os.path.join(r'E:\python存储\leaves\images','{}.jpg'.format(i)) image=Image.open(image_path) trans=transforms.ToTensor() Image_list.append(trans(image)) train_label_read=pd.read_csv(r'E:\python存储\leaves\train.csv') train_label=train_label_read['label'] dataset=dict(map(lambda x,y:[x,y],train_label,Image_list)) print(dataset)