transform_rotation
wrongly using w x w for image size (@114, cregouby)tensor_image_display
and tensor_image_browse
now accept all tensor_image dtypes. (#115, @cregouby) transform_affine
help to remove confusion with transforme_random_affine
help (#116, @cregouby)zip::unzip
added in version 0.4.0. (#89)tinyimagenet-alexnet
example (#90, @statist-bhfz)torch_lstsq
that was removed in torch v0.10.0transform_adjust_hue()
and transform_linear_transformation()
(#72, #73, @sebffischer)draw_bounding_boxes()
, draw_segmentation_masks()
and draw_keypoints()
on top of image tensors, and add a convenience tensor_image_browse()
and tensor_image_display()
functions to visualize image tensors respectively in browser or in X11 device (#80, @cregouby)nnf_cross_entropy
for numerical stability. (#61)zip
to zip::unzip
the tinyimagenet dataset.torch::enumerate()
from docs and tests in favor of coro::loop()
(#57)torch
. (#58)torch_arange
calls after breaking change in torch
. (#47)transform_resize
when passing size
with length 1. (#49)transform_rotate
. (#31)transform_random_affine
and transform_affine
(#32)NEWS.md
file to track changes to the package.Add the following code to your website.
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