vision_make_grid: A simplified version of torchvision.utils.make_grid

In mlverse/torchvision: Models, Datasets and Transformations for Images

A simplified version of torchvision.utils.make_grid

Description

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).

Usage

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.

See Also

Other image display: draw_bounding_boxes(), draw_keypoints(), draw_segmentation_masks(), tensor_image_browse(), tensor_image_display()

mlverse/torchvision documentation built on Sept. 18, 2024, 4:03 p.m.