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Classification

ImageClassifier

The ImageClassifier is a Task for classifying images.

ImageClassificationData

Data module for image classification tasks.

ImageClassificationPreprocess

Preprocssing of data of image classification.

classification.data.MatplotlibVisualization

Process and show the image batch and its associated label using matplotlib.

classification.transforms.default_transforms

The default transforms for image classification: resize the image, convert the image and target to a tensor, collate the batch, and apply normalization.

classification.transforms.train_default_transforms

During training, we apply the default transforms with additional RandomHorizontalFlip.

Object Detection

ObjectDetector

The ObjectDetector is a Task for detecting objects in images.

ObjectDetectionData

detection.data.FiftyOneParser

detection.data.ObjectDetectionFiftyOneDataSource

detection.data.ObjectDetectionPreprocess

detection.serialization.FiftyOneDetectionLabels

A Serializer which converts model outputs to FiftyOne detection format.

Keypoint Detection

KeypointDetector

The ObjectDetector is a Task for detecting objects in images.

KeypointDetectionData

keypoint_detection.data.KeypointDetectionPreprocess

Instance Segmentation

InstanceSegmentation

The InstanceSegmentation is a Task for detecting objects in images.

InstanceSegmentationData

instance_segmentation.data.InstanceSegmentationPreprocess

Embedding

ImageEmbedder

The ImageEmbedder is a Task for obtaining feature vectors (embeddings) from images.

Segmentation

SemanticSegmentation

SemanticSegmentation is a Task for semantic segmentation of images.

SemanticSegmentationData

Data module for semantic segmentation tasks.

SemanticSegmentationPreprocess

segmentation.data.SegmentationMatplotlibVisualization

Process and show the image batch and its associated label using matplotlib.

segmentation.data.SemanticSegmentationNumpyDataSource

segmentation.data.SemanticSegmentationTensorDataSource

segmentation.data.SemanticSegmentationPathsDataSource

segmentation.data.SemanticSegmentationFiftyOneDataSource

segmentation.data.SemanticSegmentationDeserializer

segmentation.model.SemanticSegmentationPostprocess

segmentation.serialization.FiftyOneSegmentationLabels

A Serializer which converts the model outputs to FiftyOne segmentation format.

segmentation.serialization.SegmentationLabels

A Serializer which converts the model outputs to the label of the argmax classification per pixel in the image for semantic segmentation tasks.

segmentation.transforms.default_transforms

The default transforms for semantic segmentation: resize the image and mask, collate the batch, and apply normalization.

segmentation.transforms.prepare_target

Convert the target mask to long and remove the channel dimension.

segmentation.transforms.train_default_transforms

During training, we apply the default transforms with additional RandomHorizontalFlip and ColorJitter.

Style Transfer

StyleTransfer

StyleTransfer is a Task for transferring the style from one image onto another.

StyleTransferData

StyleTransferPreprocess

raise_not_supported

rtype

NoReturn

flash.image.data

ImageDeserializer

ImageFiftyOneDataSource

ImageNumpyDataSource

ImagePathsDataSource

ImageTensorDataSource

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