torchvision.datasets.ImageFolder是什么意思

torchvision.datasets.ImageFolder 是一个 PyTorch 库中的类，用于加载包含图像数据的文件夹。该类会将文件夹中的每个子文件夹视为一个类别，其中包含该类别的图像文件。可以使用该类来快速创建 PyTorch 数据集对象以进行训练、验证和测试。

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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。