初始化手写数字识别

Data/ImageData/README.md

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+存放训练数据文件

Data/loadImage.py

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+from PIL import Image
+
+from torch.utils.data import Dataset,DataLoader
+from torchvision.datasets import MNIST
+from torchvision import transforms
+
+class MNISTImageDataset_train(Dataset):
+    def __init__(self) -> None:
+        super().__init__()
+        self.trainData = MNIST('./Data/ImageData', train=True, download=True,transform=transforms.ToTensor())
+        
+    def __len__(self) -> int:
+        return len(self.trainData)
+
+    def __getitem__(self, index):
+        return self.trainData[index][0],self.trainData[index][1]
+
+
+class MNISTImageDataset_test(Dataset):
+    def __init__(self) -> None:
+        super().__init__()
+        self.testData = MNIST('./Data/ImageData', train=False, download=True,transform=transforms.ToTensor())
+        
+    def __len__(self) -> int:
+        return len(self.testData)
+
+    def __getitem__(self, index):
+        return self.testData[index][0],self.testData[index][1]
+
+if __name__ == "__main__":
+    print(len(MNISTImageDataset_train()))
+    print(len(MNISTImageDataset_test()))
+