Crop the given PIL Image. Args: img (PIL Image): Image to be cropped. i: Upper pixel coordinate. j: Left pixel coordinate.

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

Resize the input PIL Image to the given size. Args: img (PIL Image): Image to be resized. size (sequence or int): Desired output s

Horizontally flip the given PIL Image. Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Horizontall flipped im

Pad the given PIL Image on all sides with the given "pad" value. Args: img (PIL Image): Image to be padded. padding (int or tuple)

Vertically flip the given PIL Image. Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Vertically flipped image

Adjust brightness of an Image. Args: img (PIL Image): PIL Image to be adjusted. brightness_factor (float): How much to adjust the

Adjust contrast of an Image. Args: img (PIL Image): PIL Image to be adjusted. contrast_factor (float): How much to adjust the cont

Adjust hue of an image. The image hue is adjusted by converting the image to HSV and cyclically shifting the intensities in the hue channel (H

Adjust color saturation of an image. Args: img (PIL Image): PIL Image to be adjusted. saturation_factor (float): How much to adju

Get parameters for ``crop`` for center crop. Args: img (PIL Image): Image to be cropped. output_size (tuple): Expected

Get parameters for ``crop`` for a random crop. Args: img (PIL Image): Image to be cropped. output_size (tuple): Expect

Get parameters for ``crop`` for a random sized crop. Args: img (PIL Image): Image to be cropped. Returns: tupl

Get a randomized transform to be applied on image. Arguments are same as that of __init__. Returns: Transform which random

Checks if a file is an image. Args: filename (string): path to a file Returns: bool: True if the filename ends with a known

Normalize a tensor image with mean and standard deviation. See ``Normalize`` for more details. Args: tensor (Tensor): Tensor image of

Crop the given PIL Image and resize it to desired size. Notably used in RandomResizedCrop. Args: img (PIL Image): Image to be cropped.

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. See :class:`~torchvision.transforms.ToPIlImage` for more details. Args: pic (Tensor or nu

Convert a ``PIL Image`` or ``numpy.ndarray`` to tensor. See ``ToTensor`` for more details. Args: pic (PIL Image or numpy.ndarray): Ima

Args: pic (PIL Image or numpy.ndarray): Image to be converted to tensor. Returns: Tensor: Converted image.

Args: pic (Tensor or numpy.ndarray): Image to be converted to PIL Image. Returns: PIL Image: Image converted

Args: tensor (Tensor): Tensor image of size (C, H, W) to be normalized. Returns: Tensor: Normalized Tensor im

Args: img (PIL Image): Image to be scaled. Returns: PIL Image: Rescaled image.

Args: img (PIL Image): Image to be cropped. Returns: PIL Image: Cropped image.

Args: img (PIL Image): Image to be padded. Returns: PIL Image: Padded image.

Args: img (PIL Image): Image to be cropped. Returns: PIL Image: Cropped image.

Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Randomly flipped image.

Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Randomly flipped image.

Args: img (PIL Image): Image to be flipped. Returns: PIL Image: Randomly cropped and resize image.

Args: tensor (Tensor): Tensor image of size (C, H, W) to be whitened. Returns: Tensor: Transformed image.

Args: img (PIL Image): Input image. Returns: PIL Image: Color jittered image.

Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class.

Perform gamma correction on an image. Also known as Power Law Transform. Intensities in RGB mode are adjusted based on the following equation: