A simplified version of torchvision.utils.make_grid

Source: R/vision_utils.R

Arranges a batch of (image) tensors in a grid, with optional padding between images. Expects a 4d mini-batch tensor of shape (B x C x H x W).

vision_make_grid(
  tensor,
  scale = TRUE,
  num_rows = 8,
  padding = 2,
  pad_value = 0
)

Arguments

tensor

tensor to arrange in grid.
scale

whether to normalize (min-max-scale) the input tensor.
num_rows

number of rows making up the grid (default 8).
padding

amount of padding between batch images (default 2).
pad_value

pixel value to use for padding.