1.torchvision.utils.make_grid(tensor, nrow=8, padding=2, normalize=False, range=None, scale_each=False, pad_value=0)
Make a grid of images.网格图像（多个图像）
| 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.一些相同大小的图像。
- nrow (int, optional) – Number of images displayed in each row of the grid. The Final grid size is (B / nrow, nrow). Default is 8.
- padding (int, optional) – amount of padding. Default is 2.
- normalize (bool, optional) – If True, shift the image to the range (0, 1), 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.
|
Example
See this notebook here