torchvision.datasets.ImageFolder 返回值

`torchvision.datasets.ImageFolder`返回一个`DatasetFolder`对象，该对象继承自`torch.utils.data.Dataset`类，可以用于生成可迭代的数据集。`DatasetFolder`对象中包含了图像数据集中所有的图像及其对应的标签，可以通过调用`__getitem__`方法来获取指定索引的图像及其标签。具体而言，`__getitem__`方法会根据索引从文件夹中读取对应的图像和标签，并对图像进行预处理操作，然后返回一个包含图像和标签的元组。例如，如果指定了`transform`参数，那么返回的图像数据将会经过这些预处理操作。返回的元组中，第一个元素是处理后的图像数据，第二个元素是该图像数据所属的类别标签。

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torchvision.datasets.ImageFolder

torchvision.datasets.ImageFolder is a PyTorch dataset class that represents a generic image folder dataset. It assumes that the images are organized in subfolders under a root folder, where each subfolder represents a label/class. For example, the root folder may contain subfolders "cat", "dog", "bird", etc., where each subfolder contains images of the corresponding label/class.

The ImageFolder class takes two arguments: the path to the root folder and an optional transform function. The transform function is applied to each image before it is returned. The class also provides a default transformation that resizes the image to 256x256 and applies a center crop to obtain a 224x224 image.

The ImageFolder dataset can be used as input to a DataLoader to create a batched data loader for training or testing a neural network.

torchvision.datasets.imagefolder

torchvision.datasets.imagefolder 是 PyTorch 中 torchvision 库中的一个数据集类，它可以读取本地图像文件夹中的图像并将其转换为 PyTorch 数据集。这个数据集类期望图像文件夹中的每个子文件夹都对应一个类别，并且每个子文件夹中都只包含属于该类别的图像。