torchvision.utils.make_grid

torchvision.utils

torchvision.utils.make_grid(tensor, nrow=8, padding=2, normalize=False, range=None, scale_each=False, pad_value=0)[source]

Make a grid of images.

Parameters:

tensor (Tensor or list) – 4D mini-batch Tensor of shape (B x C x H x W) or a list of images all of the same size. nrow (int, optional) – 每一行显示的图像数. 最终图标尺寸为(B / nrow, nrow). 默认为8. padding (int, optional) –填充. Default is 2. normalize (bool, optional) – If True, 归一化图像到(0, 1)区间, by subtracting the minimum and dividing by the maximum pixel value. range (tuple, optional) – tuple (min, max) where min and max are numbers, then these numbers are used to normalize the image. By default, min and max are computed from the tensor. scale_each (bool, optional) – If True, scale each image in the batch of images separately rather than the (min, max) over all images. pad_value (float, optional) – Value for the padded pixels.

torchvision.utils.save_image(tensor, filename, nrow=8, padding=2, normalize=False, range=None, scale_each=False, pad_value=0)[source] Save a given Tensor into an image file. Parameters: tensor (Tensor or list) – Image to be saved. If given a mini-batch tensor, saves the tensor as a grid of images by calling make_grid. **kwargs – Other arguments are documented in make_grid.