More Flash Tasks, Visualization Tools, Data Pipeline and Flash Registry API

[0.3.0] - 2021-05-20

Added

• Added DataPipeline API (#188 #141 #207)
• Added timm integration (#196)
• Added BaseViz Callback (#201)
• Added backbone API (#204)
• Added support for Iterable auto dataset (#227)
• Added multi label support (#230)
• Added support for schedulers (#232)
• Added visualisation callback for image classification (#228)
• Added Video Classification task (#216)
• Added Dino backbone for image classification (#259)
• Added Data Sources API (#256 #264 #272)
• Refactor preprocess_cls to preprocess, add Serializer, add DataPipelineState (#229)
• Added Semantic Segmentation task (#239 #287 #290)
• Added Object detection prediction example (#283)
• Added Style Transfer task and accompanying finetuning and prediction examples (#262)
• Added a Template task and tutorials showing how to contribute a task to flash (#306)

Changed

• Rename valid_ to val_ (#197)
• Refactor preprocess_cls to preprocess, add Serializer, add DataPipelineState (#229)

Fixed

• Fix DataPipeline resolution in Task (#212)
• Fixed a bug where the backbone used in summarization was not correctly passed to the postprocess (#296)

Contributors

@aniketmaurya @carmocca @edgarriba @ethanwharris @pmeier @tchaton

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TIMM backbones

[0.2.3] - 2021-04-17

Added

• Added TIMM integration as backbones (#196)

Fixed

• Fixed nltk.download (#210)

Align with PL v1.2 and TorchMetrics

[0.2.2] - 2021-04-05

Changed

• Switch to use torchmetrics (#169)
• Update lightning version to v1.2 (#133)

Fixed

• Fixed classification softmax (#169)
• Don't download data if exists (#157)

Minor dataloading update

[0.2.1] - 2021-3-06

Added

• Added RetinaNet & backbones to ObjectDetector Task (#121)
• Added .csv image loading utils (#116, #117,#118)

Changed

• Set inputs as optional (#109)

Fixed

• Set minimal requirements (#62)
• Fixed VGG backbone num_features (#154)

Adding TabNet and ObjectDetector

[0.2.0] - 2021-02-12

Added

• Added ObjectDetector Task (#56)
• Added TabNet for tabular classification (#101)
• Added support for more backbones(mobilnet, vgg, densenet, resnext) (#45)
• Added backbones for image embedding model (#63)
• Added SWAV and SimCLR models to imageclassifier + backbone reorg (#68)

Changed

• Applied transform in FilePathDataset (#97)
• Moved classification integration from vision root to folder (#86)

Fixed

• Unfreeze default number of workers in datamodule (#57)
• Fixed wrong label in FilePathDataset (#94)

Removed

• Removed densenet161 duplicate in DENSENET_MODELS (#76)
• Removed redundant num_features arg from Classification model (#88)

Lightning Flash First Release

Flash Lightning First Release

Overview:

Lightning Flash is a collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning
This release will introduce 6 Flash Tasks:

• ImageClassifier
• TabularClassifier
• TextClassifier
• ImageEmbedder
• SummarizationTask
• TranslationTask

Each task can easily be used for both inference and finetuning.

[0.1.0] - 02/02/2021

Added

• Added flash_notebook examples (#9)
• Added strategy to trainer.finetune with NoFreeze, Freeze, FreezeUnfreeze, UnfreezeMilestones Callbacks (#39)
• Added SummarizationData, SummarizationTask and TranslationData, TranslationTask (#37)
• Added ImageEmbedder(#36)

Contributors
@Borda, @carmocca, @justusschock, @SeanNaren, @SkafteNicki, @tchaton, @williamFalcon

If we forgot someone due to not matching commit email with GitHub account, let us know :]