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fashion_mnist_dataset()
for loading the
Fashion-MNIST dataset (@koshtiakanksha, #148).eurosat_dataset()
,
eurosat_all_bands_dataset()
, and
eurosat100_dataset()
for loading RGB, all-band, and
small-subset variants of the EuroSAT dataset (@cregouby, #126).qmnist_dataset()
for loading the QMNIST dataset
(@DerrickUnleashed, #153).emnist_dataset()
for loading the EMNIST dataset
(@DerrickUnleashed, #152).fgvc_aircraft_dataset()
for loading the
FGVC-Aircraft dataset (@DerrickUnleashed, #156).coco_detection_dataset()
and
coco_caption_dataset()
for loading the MS COCO detection
and captions datasets (@koshtiakanksha, #161, #172).caltech101_dataset()
and
caltech256_dataset()
for loading the Caltech 101 and 256
datasets (@DerrickUnleashed, #158).fer_dataset()
for loading the FER-2013 dataset
(@DerrickUnleashed, #154).flowers102_dataset()
for loading the Flowers102
dataset (@DerrickUnleashed, #157).flickr8k_dataset()
and
flickr30k_dataset()
for loading the Flickr8k and Flickr30k
datasets (@DerrickUnleashed, #159).oxfordiiitpet_dataset()
,
oxfordiiitpet_binary_dataset()
, and
oxfordiiitpet_segmentation_dataset()
for loading the
Oxford-IIIT Pet datasets (@DerrickUnleashed, #162).tensor_image_display()
and
tensor_image_browse()
now accept all
tensor_image
dtypes (@cregouby, #115).tensor_image_display()
and
tensor_image_browse()
now accept
image_with_bounding_box
and
image_with_segmentation_mask
inputs which are the default
items class for respectively detection datasets and segmentation
datasets (@koshtiakanksha, #175).fgvc_aircraft_dataset()
gains support for
annotation_level = "all"
(@DerrickUnleashed, #168).folder_dataset()
now supports TIFF image formats (@cregouby, #169).nms()
and batched_nms()
functions
provide Non-Maximum Suppression utilities. Added
box_convert()
to convert between bounding box formats
(@Athospd, #40).transform_rotation()
now correctly uses width × height
for image size instead of width × width (@cregouby, #114).transform_affine()
to
reduce confusion with transform_random_affine()
(@cregouby, #116).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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.