datasets.imagefolder

torchvision.datasets.ImageFolder 是 PyTorch 中一个用于加载图像数据集的类。它需要指定一个文件夹路径，该文件夹中包含所有图像和子文件夹。每个子文件夹都被认为是一个类别，其中包含属于该类别的图像。这样，图像就可以很容易地加载到 PyTorch 的数据加载器中进行处理。

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datasets.ImageFolder

torchvision.datasets.ImageFolder 是 PyTorch 中一个用于加载图像数据集的类。它需要指定一个文件夹路径，该文件夹中包含所有图像和子文件夹。每个子文件夹都被认为是一个类别，其中包含属于该类别的图像。这样，图像就可以很容易地加载到 PyTorch 的数据加载器中进行处理。

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.