`FER2013 Dataset. Args: train (bool, optional): If True, creates dataset from training set, otherwise creates from test s

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

`CK+ Dataset. Args: train (bool, optional): If True, creates dataset from training set, otherwise creates from test set.

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

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

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

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

Convert image to grayscale. Args: num_output_channels (int): (1 or 3) number of channels desired for output image Returns: P

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

Normalize an tensor image with mean and standard deviation. Given mean: ``(M1,...,Mn)`` and std: ``(S1,..,Sn)`` 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 i

Randomly convert image to grayscale with a probability of p (default 0.1). Args: p (float): probability that image should be converted to

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 (default: of 0.08 to 1.0) of the original size and a random a

Rotate the image by angle. Args: degrees (sequence or float or int): Range of degrees to select from. If degrees is a number

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 (

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.Fl