Computes and stores the average and current value.

Apply a user-defined lambda as a transform. Args: lambd (function): Lambda/function to be used for transform.

A generic data loader where the images are arranged in this way: :: root/dog/xxx.png root/dog/xxy.png root/dog/xxz.png

Crops the given PIL Image at the center. Args: size (sequence or int): Desired output size of the crop. If size is an int inst

Composes several transforms together. Args: transforms (list of ``Transform`` objects): list of transforms to compose. Example:

Randomly change the brightness, contrast and saturation of an image. Args: brightness (float): How much to jitter brightness. brightness_f

Crop the given PIL Image into four corners and the central crop.abs Note: this transform returns a tuple of images and there may be a mismatch

Transform a tensor image with a square transformation matrix computed offline. Given transformation_matrix, will flatten the torch.*Tensor, co

Normalize an tensor image with mean and standard deviation. Given mean: ``(M1,...,Mn)`` and std: ``(M1,..,Mn)`` for ``n`` channels, this transform

Pad the given PIL Image on all sides with the given "pad" value. Args: padding (int or tuple): Padding on each border. If a single int is

Crop the given PIL Image at a random location. Args: size (sequence or int): Desired output size of the crop. If size is an in

Horizontally flip the given PIL Image randomly with a probability of 0.5.

Crop the given PIL Image to random size and aspect ratio. A crop of random size of (0.08 to 1.0) of the original size and a random aspect rati

Note: This transform is deprecated in favor of RandomResizedCrop.

Vertically flip the given PIL Image randomly with a probability of 0.5.

Resize the input PIL Image to the given size. Args: size (sequence or int): Desired output size. If size is a sequence like (h

Note: This transform is deprecated in favor of Resize.

Crop the given PIL Image into four corners and the central crop plus the flipped version of these (horizontal flipping is used by default)

Convert a tensor or an ndarray to PIL Image. Converts a torch.*Tensor of shape C x H x W or a numpy ndarray of shape H x W x C to a PIL Image

Convert a ``PIL Image`` or ``numpy.ndarray`` to tensor. Converts a PIL Image or numpy.ndarray (H x W x C) in the range [0, 255] to a torch.Flo