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).

• 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)

• Remove usage of torch_lstsq that was removed in torch v0.10.0

• 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)

• 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)

• 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)

• 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)

• Fixed bugs in transform_rotate. (#31)
• Fixed bugs in transform_random_affine and transform_affine (#32)
• Added VGG model (#35)

• First CRAN release