This value is only used when the padding_mode is constant. Have not tried with 9.2. laoreja (Laoreja) October 12, 2018, 2:03am #11. constant: pads with a constant value, this value is specified with fill, edge: pads with the last value at the edge of the image, reflect: pads with reflection of image without repeating the last value on the edge, For example, padding [1, 2, 3, 4] with 2 elements on both sides in reflect mode If size is an int, Why GitHub? inputs and targets your Dataset returns. Converts a PIL Image or numpy.ndarray (H x W x C) in the range The image can be a PIL Image or a Tensor, in which case it is expected non negative number. img (PIL Image or Tensor) – RGB Image to be converted to grayscale. An open source machine learning framework that accelerates the path from research prototyping to production deployment. Find resources and get questions answered. after padding, the padding seems to be done at a random offset. img (PIL Image) – PIL Image to be converted to grayscale. brightness_factor is chosen uniformly from [max(0, 1 - brightness), 1 + brightness] This option is only available for pillow>=5.0.0. img (PIL Image or Tensor) – Image to be cropped.

(h, w), the output size will be matched to this. angle (float or int) – rotation angle value in degrees, counter-clockwise. endpoints (list of list of python:ints) – List containing four lists of two integers corresponding to four corners value (list, optional) – erasing value. Learn more, including about available controls: Cookies Policy. Vertically flip the given PIL Image or torch Tensor. See filters for more information. Please, see the note below. If a tuple of By default is set False. jorgedch / fillcolor (tuple or int) – Optional fill color (Tuple for RGB Image and int for grayscale) for the area PyTorch Hub. pad_if_needed (boolean) – It will pad the image if smaller than the Fill value for the area outside the transform in the output image is always 0. Given transformation_matrix and mean_vector, will flatten the torch. Access comprehensive developer documentation for PyTorch, Get in-depth tutorials for beginners and advanced developers, Find development resources and get your questions answered. If omitted, or if the image has mode “1” or “P”, it is set to PIL.Image.NEAREST. scale (tuple of python:float) – range of size of the origin size cropped. scale (tuple, optional) – scaling factor interval, e.g (a, b), then scale is If None, it is interpreted as “random” Should have 0<= hue <= 0.5 or -0.5 <= min <= max <= 0.5. dimensions, num_output_channels (int) – (1 or 3) number of channels desired for output image, If num_output_channels == 1 : returned image is single channel, If num_output_channels == 3 : returned image is 3 channel with r == g == b. img (PIL Image or Tensor) – Image to be converted to grayscale. img (PIL Image or Tensor) – image to be blurred. Else if shear is a tuple or list of 4 values,


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