CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[Unreleased] - YYYY-MM-DD

Added

• Added LabelStudio integration (#554)

• Added support learn2learn training_strategy for ImageClassifier (#737)

• Added vissl training_strategies for ImageEmbedder (#682)

• Added support for from_data_frame to TextClassificationData (#785)

Changed

• Changed the default num_workers on linux to 0 (matching the default for other OS) (#759)

Fixed

• Fixed a bug where additional kwargs (e.g. sampler) passed to tabular data would be ignored (#792)

[0.5.0] - 2021-09-07

Added

• Added support for (input, target) style datasets (e.g. torchvision) to the from_datasets method (#552)
• Added support for from_csv and from_data_frame to ImageClassificationData (#556)
• Added SimCLR, SwAV, Barlow-twins pretrained weights for resnet50 backbone in ImageClassifier task (#560)
• Added support for Semantic Segmentation backbones and heads from segmentation-models.pytorch (#562)
• Added support for nesting of Task objects (#575)
• Added PointCloudSegmentation Task (#566)
• Added PointCloudObjectDetection Task (#600)
• Added a GraphClassifier task (#73)
• Added the option to pass pretrained as a string to SemanticSegmentation to change pretrained weights to load from segmentation-models.pytorch (#587)
• Added support for field parameter for loadng JSON based datasets in text tasks. (#585)
• Added AudioClassificationData and an example for classifying audio spectrograms (#594)
• Added a SpeechRecognition task for speech to text using Wav2Vec (#586)
• Added Flash Zero, a zero code command line ML platform built with flash (#611)
• Added support for .npy and .npz files to ImageClassificationData and AudioClassificationData (#651)
• Added support for from_csv to the AudioClassificationData (#651)
• Added option to pass a resolver to the from_csv and from_pandas methods of ImageClassificationData, which is used to resolve filenames given IDs (#651)
• Added integration with IceVision for the ObjectDetector (#608)
• Added keypoint detection task (#608)
• Added instance segmentation task (#608)
• Added Torch ORT support to Transformer based tasks (#667)
• Added support for flash zero with the InstanceSegmentation and KeypointDetector tasks (#672)
• Added support for in_chans argument to the flash ResNet to control the expected number of input channels (#673)
• Added a QuestionAnswering task for extractive question answering (#607)
• Added automatic unwrapping of IceVision prediction objects (#727)
• Added support for the ObjectDetector with FiftyOne (#727)
• Added support for MP3 files to the SpeechRecognition task with librosa (#726)
• Added support for from_numpy and from_tensors to AudioClassificationData (#745)

Changed

• Changed how pretrained flag works for loading weights for ImageClassifier task (#560)
• Removed bolts pretrained weights for SSL from ImageClassifier task (#560)
• Changed the behaviour of the sampler argument of the DataModule to take a Sampler type rather than instantiated object (#651)
• Changed arguments to ObjectDetector, use head instead of model and append _fpn to the backbone name instead of the fpn argument (#608)

Fixed

• Fixed a bug where serve sanity checking would not be triggered using the latest PyTorchLightning version (#493)
• Fixed a bug where train and validation metrics weren't being correctly computed (#559)
• Fixed a bug where an uncaught ValueError could be raised when checking if a module is available (#615)
• Fixed a bug where some tasks were not compatible with PyTorch 1.7 due to use of torch.jit.isinstance (#611)
• Fixed a bug where custom samplers would not be properly forwarded to the data loader (#651)
• Fixed a bug where it was not possible to pass no metrics to the ImageClassifier or TestClassifier (#660)
• Fixed a bug where drop_last would be set to True during prediction and testing (#671)
• Fixed a bug where flash was not compatible with pytorch-lightning >= 1.4.3 (#690)

[0.4.0] - 2021-06-22

Added

• Added integration with FiftyOne (#360)
• Added flash.serve (#399)
• Added support for torch.jit to tasks where possible and documented task JIT compatibility (#389)
• Added option to provide a Sampler to the DataModule to use when creating a DataLoader (#390)
• Added support for multi-label text classification and toxic comments example (#401)
• Added a sanity checking feature to flash.serve (#423)

Changed

• Split backbone argument to SemanticSegmentation into backbone and head arguments (#412)

Fixed

• Fixed a bug where the DefaultDataKeys.METADATA couldn't be a dict (#393)
• Fixed a bug where the SemanticSegmentation task would not work as expected with finetuning callbacks (#412)
• Fixed a bug where predict batches could not be visualized with ImageClassificationData (#438)

[0.3.2] - 2021-06-08

Fixed

• Fixed a bug where flash.Trainer.from_argparse_args + finetune would not work (#382)

[0.3.1] - 2021-06-08

Added

• Added deeplabv3, lraspp, and unet backbones for the SemanticSegmentation task (#370)

Changed

• Changed the installation command for extra features (#346)
• Change resize interpolation default mode to nearest (#352)

Deprecated

• Deprecated SemanticSegmentation backbone names torchvision/fcn_resnet50 and torchvision/fcn_resnet101, use fc_resnet50 and fcn_resnet101 instead (#370)

Fixed

• Fixed flash.Trainer.add_argparse_args not adding any arguments (#343)
• Fixed a bug where the translation task wasn't decoding tokens properly (#332)
• Fixed a bug where huggingface tokenizers were sometimes being pickled (#332)
• Fixed issue with KorniaParallelTransforms to assure to share the random state between transforms (#351)
• Fixed a bug where using val_split with overfit_batches would give an infinite recursion (#375)
• Fixed a bug where some timm models were mistakenly given a global_pool argument (#377)
• Fixed flash.Trainer.from_argparse_args not passing arguments correctly (#380)

[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)

[0.2.3] - 2021-04-17

Added

• Added TIMM integration as backbones (#196)

Fixed

• Fixed nltk.download (#210)

[0.2.2] - 2021-04-05

Changed

• Switch to use torchmetrics (#169)

• Better support for optimizer and schedulers (#232)

• Update lightning version to v1.2 (#133)

Fixed

• Fixed classification softmax (#169)

• Fixed a bug where loading from a local checkpoint that had pretrained=True without an internet connection would sometimes raise an error (#237)

• Don't download data if exists (#157)

[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)

[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)

[0.1.0] - 2021-02-02

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)