NEWS.md
lfw_people_dataset() and lfw_pairs_dataset() for loading Labelled Faces in the Wild (LFW) datasets (@DerrickUnleashed, #203).places365_dataset()for loading the Places365 dataset (@koshtiakanksha, #196).pascal_segmentation_dataset(), and pascal_detection_dataset() for loading the Pascal Visual Object Classes datasets (@DerrickUnleashed, #209).whoi_plankton_dataset(), whoi_small_plankton_dataset(), and whoi_small_coral_dataset() (@cregouby, #236).rf100_document_collection(), rf100_medical_collection(), rf100_biology_collection(), rf100_damage_collection(), rf100_infrared_collection(), and rf100_underwater_collection() . Those are collection of datasets from RoboFlow 100 under the same thematic, for a total of 35 datasets (@koshtiakanksha, @cregouby, #239).rf100_peixos_segmentation_dataset(). (@koshtiakanksha, @cregouby, #250).model_maxvit() for MaxViT: Multi-Axis Vision Transformer (#229, @koshtiakanksha).model_facenet_pnet(), model_facenet_rnet(), and model_facenet_onet() for Facenet MTCNN face detection models. (@DerrickUnleashed, #227)model_mtcnn() and model_inception_resnet_v1() models for face detection and recognition. (@DerrickUnleashed, #217)model_mobilenet_v3_large() and model_mobilenet_v3_small() models for efficient image classification. (@DerrickUnleashed, #237)model_convnext_() family models for image classification, thanks to @horlar1 contribution. (@cregouby, #251)imagenet_label() and imagenet_classes() for ImageNet classes resolution (#229, @koshtiakanksha).base_loader() now accept URLs (@cregouby, #246).draw_segmentation_masks() now accepts semantic segmentation models torch_float() output. (@cregouby #247).getbatch attached method (@cregouby #255)/v2/ URL in torch-cdn.mlverse.org. (#215)coco_* dataset family now provides each item$x being an image array (for consistency with other datasets). You can use transform = transform_to_tensor to restore the previous x output to be a torch_tensor().transform_ are now documented into 3 different categories: unitary transformations, random transformations and combining transformations. (@cregouby, #250)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).rf100_document_collection(), rf100_underwater_collection(), rf100_medical_collection(), rf100_biology_collection(), and rf100_peixos_segmentation_dataset() for loading Roboflow 100 datasets (@koshtiakanksha, #239).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).draw_bounding_boxes() and draw_segmentation_masks() 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)