Models, Datasets and Transformations for Images

Documentation for package ‘torchvision’ version 0.7.0

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-- B --

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

-- C --

caltech101_dataset	Caltech Datasets
caltech256_dataset	Caltech Datasets
caltech_dataset	Caltech Datasets
cifar100_dataset	CIFAR datasets
cifar10_dataset	CIFAR datasets
clip_boxes_to_image	Clip Boxes to Image
coco_caption_dataset	COCO Caption Dataset
coco_detection_dataset	COCO Detection Dataset

-- D --

draw_bounding_boxes	Draws bounding boxes on image.
draw_bounding_boxes.default	Draws bounding boxes on image.
draw_bounding_boxes.image_with_bounding_box	Draws bounding boxes on image.
draw_bounding_boxes.torch_tensor	Draws bounding boxes on image.
draw_keypoints	Draws Keypoints
draw_segmentation_masks	Draw segmentation masks
draw_segmentation_masks.default	Draw segmentation masks
draw_segmentation_masks.image_with_segmentation_mask	Draw segmentation masks
draw_segmentation_masks.torch_tensor	Draw segmentation masks

-- E --

emnist_dataset	MNIST and Derived Datasets
eurosat100_dataset	EuroSAT datasets
eurosat_all_bands_dataset	EuroSAT datasets
eurosat_dataset	EuroSAT datasets

-- F --

fashion_mnist_dataset	MNIST and Derived Datasets
fer_dataset	FER-2013 Facial Expression Dataset
fgvc_aircraft_dataset	FGVC Aircraft Dataset
flickr30k_caption_dataset	Flickr Caption Datasets
flickr8k_caption_dataset	Flickr Caption Datasets
flickr_caption_dataset	Flickr Caption Datasets
flowers102_dataset	Oxford Flowers 102 Dataset

-- G --

generalized_box_iou

Generalized Box IoU

-- I --

image_folder_dataset

Create an image folder dataset

-- K --

kmnist_dataset

MNIST and Derived Datasets

-- M --

magick_loader	Load an Image using ImageMagick
mnist_dataset	MNIST and Derived Datasets
model_alexnet	AlexNet Model Architecture
model_inception_v3	Inception v3 model
model_mobilenet_v2	Constructs a MobileNetV2 architecture from MobileNetV2: Inverted Residuals and Linear Bottlenecks.
model_resnet	ResNet implementation
model_resnet101	ResNet implementation
model_resnet152	ResNet implementation
model_resnet18	ResNet implementation
model_resnet34	ResNet implementation
model_resnet50	ResNet implementation
model_resnext101_32x8d	ResNet implementation
model_resnext50_32x4d	ResNet implementation
model_vgg	VGG implementation
model_vgg11	VGG implementation
model_vgg11_bn	VGG implementation
model_vgg13	VGG implementation
model_vgg13_bn	VGG implementation
model_vgg16	VGG implementation
model_vgg16_bn	VGG implementation
model_vgg19	VGG implementation
model_vgg19_bn	VGG implementation
model_wide_resnet101_2	ResNet implementation
model_wide_resnet50_2	ResNet implementation

-- N --

nms	Non-maximum Suppression (NMS)

-- O --

oxfordiiitpet_binary_dataset	Oxford-IIIT Pet Classification Datasets
oxfordiiitpet_dataset	Oxford-IIIT Pet Classification Datasets
oxfordiiitpet_segmentation_dataset	Oxford-IIIT Pet Segmentation Dataset

-- Q --

qmnist_dataset

MNIST and Derived Datasets

-- R --

remove_small_boxes

Remove Small Boxes

-- T --

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 invariant
transform_center_crop	Crops the given image at the center
transform_color_jitter	Randomly change the brightness, contrast and saturation of an image
transform_convert_image_dtype	Convert a tensor image to the given 'dtype' and scale the values accordingly
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 and a mean_vector computed offline
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 invariant
transform_random_apply	Apply a list of transformations randomly with a given probability
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 its pixel values
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 probability
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 and a central crop
transform_to_tensor	Convert an image to a tensor
transform_vflip	Vertically flip a PIL Image or Tensor

-- V --

vision_make_grid

A simplified version of torchvision.utils.make_grid