NEWS.md
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).model_vit_b_16()
, model_vit_b_32()
, model_vit_l_16()
, model_vit_l_32()
, and model_vit_h_14()
for loading Vision Transformer models (@DerrickUnleashed, #202).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)transform_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)