torchvision 0.7.0
New datasets
- Added 
fashion_mnist_dataset() for loading the
Fashion-MNIST dataset (@koshtiakanksha, #148). 
- Added 
eurosat_dataset(),
eurosat_all_bands_dataset(), and
eurosat100_dataset() for loading RGB, all-band, and
small-subset variants of the EuroSAT dataset (@cregouby, #126). 
- Added 
qmnist_dataset() for loading the QMNIST dataset
(@DerrickUnleashed, #153). 
- Added 
emnist_dataset() for loading the EMNIST dataset
(@DerrickUnleashed, #152). 
- Added 
fgvc_aircraft_dataset() for loading the
FGVC-Aircraft dataset (@DerrickUnleashed, #156). 
- Added 
coco_detection_dataset() and
coco_caption_dataset() for loading the MS COCO detection
and captions datasets (@koshtiakanksha, #161, #172). 
- Added 
caltech101_dataset() and
caltech256_dataset() for loading the Caltech 101 and 256
datasets (@DerrickUnleashed, #158). 
- Added 
fer_dataset() for loading the FER-2013 dataset
(@DerrickUnleashed, #154). 
- Added 
flowers102_dataset() for loading the Flowers102
dataset (@DerrickUnleashed, #157). 
- Added 
flickr8k_dataset() and
flickr30k_dataset() for loading the Flickr8k and Flickr30k
datasets (@DerrickUnleashed, #159). 
- Added 
oxfordiiitpet_dataset(),
oxfordiiitpet_binary_dataset(), and
oxfordiiitpet_segmentation_dataset() for loading the
Oxford-IIIT Pet datasets (@DerrickUnleashed, #162). 
New features
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). 
- New 
nms() and batched_nms() functions
provide Non-Maximum Suppression utilities. Added
box_convert() to convert between bounding box formats
(@Athospd, #40). 
Minor bug fixes and
improvements
transform_rotation() now correctly uses width × height
for image size instead of width × width (@cregouby, #114). 
- Clarified documentation for 
transform_affine() to
reduce confusion with transform_random_affine() (@cregouby, #116). 
- Added French translations for message outputs (@cregouby, #112).
 
torchvision 0.6.0
- Remove again dependency on 
zip::unzip added in version
0.4.0. (#89) 
- Improve performance on 
tinyimagenet-alexnet example
(#90, @statist-bhfz) 
- Updated URL of downloaded resources to use the new torch CDN.
(#109)
 
torchvision 0.5.1
- Remove usage of 
torch_lstsq that was removed in torch
v0.10.0 
torchvision 0.5.0
- Bugs fixed in 
transform_adjust_hue() and
transform_linear_transformation() (#72, #73, @sebffischer) 
- add 
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) 
- Added the InceptionV3 model. (#82)
 
torchvision 0.4.1
- Implemented MobileNetV2 (#60)
 
- Improved vignettes so they use 
nnf_cross_entropy for
numerical stability. (#61) 
- Implement the full list of ResNet model family (#66, @cregouby)
 
- Improved how datasets and models are downloaded by using a large
timeout by default and downloading to temporary file to avoid hard to
debug errors when the files are corrupt. (#67)
 
torchvision 0.4.0
- Added a dependency on 
zip to zip::unzip
the tinyimagenet dataset. 
- Removed all usages of 
torch::enumerate() from docs and
tests in favor of coro::loop() (#57) 
- Fixed non-namespaced calls to 
torch. (#58) 
torchvision 0.3.0
- Use a self hosted version of the MNIST dataset to avoid frequent
download failures. (#48)
 
- Fix 
torch_arange calls after breaking change in
torch. (#47) 
- Fix bug in 
transform_resize when passing
size with length 1. (#49) 
torchvision 0.2.0
- Fixed bugs in 
transform_rotate. (#31) 
- Fixed bugs in 
transform_random_affine and
transform_affine (#32) 
- Added VGG model (#35)
 
torchvision 0.1.0
- Added a 
NEWS.md file to track changes to the
package.