Man pages for torchvision
Models, Datasets and Transformations for Images
| base_loader | Base loader |
| batched_nms | Batched Non-maximum Suppression (NMS) |
| box_area | Box Area |
| box_convert | Box Convert |
| box_cxcywh_to_xyxy | box_cxcywh_to_xyxy |
| box_iou | Box IoU |
| box_xywh_to_xyxy | box_xywh_to_xyxy |
| box_xyxy_to_cxcywh | box_xyxy_to_cxcywh |
| box_xyxy_to_xywh | box_xyxy_to_xywh |
| caltech_dataset | Caltech Datasets |
| cifar_datasets | CIFAR datasets |
| clip_boxes_to_image | Clip Boxes to Image |
| coco_caption_dataset | COCO Caption Dataset |
| coco_detection_dataset | COCO Detection Dataset |
| coco_polygon_to_mask | Convert COCO polygon to mask tensor (Robust Version) |
| dot-rename_mobilenet_v3_state_dict | Rename state_dict keys to match current MobileNetV3 model... |
| draw_bounding_boxes | Draws bounding boxes on image. |
| draw_keypoints | Draws Keypoints |
| draw_segmentation_masks | Draw segmentation masks |
| eurosat_dataset | EuroSAT datasets |
| fer_dataset | FER-2013 Facial Expression Dataset |
| fgvc_aircraft_dataset | FGVC Aircraft Dataset |
| flickr_caption_dataset | Flickr Caption Datasets |
| flowers102_dataset | Oxford Flowers 102 Dataset |
| generalized_box_iou | Generalized Box IoU |
| image_folder_dataset | Create an image folder dataset |
| imagenet_classes | ImageNet Class Labels |
| lfw_dataset | LFW Datasets |
| magick_loader | Load an Image using ImageMagick |
| mnist_dataset | MNIST and Derived Datasets |
| model_alexnet | AlexNet Model Architecture |
| model_convnext | ConvNeXt Implementation |
| model_deeplabv3 | DeepLabV3 Models |
| model_efficientnet | EfficientNet Models |
| model_efficientnet_v2 | EfficientNetV2 Models |
| model_facenet | MTCNN Face Detection Networks |
| model_fasterrcnn | Faster R-CNN Models |
| model_fcn_resnet | Fully Convolutional Network for Semantic Segmentation |
| model_inception_v3 | Inception v3 model |
| model_maxvit | MaxViT Model |
| model_mobilenet_v2 | MobileNetV2 Model |
| model_mobilenet_v3 | MobileNetV3 Model |
| model_resnet | ResNet implementation |
| model_vgg | VGG implementation |
| model_vit | Vision Transformer Implementation |
| nms | Non-maximum Suppression (NMS) |
| oxfordiiitpet_dataset | Oxford-IIIT Pet Classification Datasets |
| oxfordiiitpet_segmentation_dataset | Oxford-IIIT Pet Segmentation Dataset |
| pascal_voc_datasets | Pascal VOC Datasets |
| places365_dataset | Places365 Dataset |
| remove_small_boxes | Remove Small Boxes |
| rf100_biology_collection | RoboFlow 100 Biology dataset Collection |
| rf100_damage_collection | RoboFlow 100 Damages dataset Collection |
| rf100_document_collection | RF100 Document Collection Datasets |
| rf100_infrared_collection | RoboFlow 100 Infrared dataset Collection |
| rf100_medical_collection | RoboFlow 100 Medical dataset Collection |
| rf100_peixos_segmentation_dataset | RF100 Peixos Segmentation Dataset |
| rf100_underwater_collection | RoboFlow 100 Underwater dataset Collection |
| tensor_image_browse | Display image tensor |
| tensor_image_display | Display image tensor |
| tiny_imagenet_dataset | Tiny ImageNet dataset |
| transform_adjust_brightness | Adjust the brightness of an image |
| transform_adjust_contrast | Adjust the contrast of an image |
| transform_adjust_gamma | Adjust the gamma of an RGB image |
| transform_adjust_hue | Adjust the hue of an image |
| transform_adjust_saturation | Adjust the color saturation of an image |
| transform_affine | Apply affine transformation on an image keeping image center... |
| transform_center_crop | Crops the given image at the center |
| transform_color_jitter | Randomly change the brightness, contrast and saturation of an... |
| transform_convert_image_dtype | Convert a tensor image to the given 'dtype' and scale the... |
| transform_crop | Crop the given image at specified location and output size |
| transform_five_crop | Crop image into four corners and a central crop |
| transform_grayscale | Convert image to grayscale |
| transform_hflip | Horizontally flip a PIL Image or Tensor |
| transform_linear_transformation | Transform a tensor image with a square transformation matrix... |
| transform_normalize | Normalize a tensor image with mean and standard deviation |
| transform_pad | Pad the given image on all sides with the given "pad" value |
| transform_perspective | Perspective transformation of an image |
| transform_random_affine | Random affine transformation of the image keeping center... |
| transform_random_apply | Apply a list of transformations randomly with a given... |
| transform_random_choice | Apply single transformation randomly picked from a list |
| transform_random_crop | Crop the given image at a random location |
| transform_random_erasing | Randomly selects a rectangular region in an image and erases... |
| transform_random_grayscale | Randomly convert image to grayscale with a given probability |
| transform_random_horizontal_flip | Horizontally flip an image randomly with a given probability |
| transform_random_order | Apply a list of transformations in a random order |
| transform_random_perspective | Random perspective transformation of an image with a given... |
| transform_random_resized_crop | Crop image to random size and aspect ratio |
| transform_random_rotation | Rotate the image by angle |
| transform_random_vertical_flip | Vertically flip an image randomly with a given probability |
| transform_resize | Resize the input image to the given size |
| transform_resized_crop | Crop an image and resize it to a desired size |
| transform_rgb_to_grayscale | Convert RGB Image Tensor to Grayscale |
| transform_rotate | Angular rotation of an image |
| transform_ten_crop | Crop an image and the flipped image each into four corners... |
| transform_to_tensor | Convert an image to a tensor |
| transform_vflip | Vertically flip a PIL Image or Tensor |
| vision_make_grid | A simplified version of torchvision.utils.make_grid |
| whoi_plankton_dataset | WHOI Plankton Datasets |
| whoi_small_coralnet_dataset | Coralnet Dataset |
