Changelog

V0.2.1

New Features

  • Support transforms.Grayscale and transforms.Solarization transforms #220

  • Support TorchHub functionality #258

  • Support transforms.RandomAffine method #259

  • Support transforms.RandomRotation method #261

Bug Fixes

  • fix hsv2rgb bug #256

  • fix rgb2hsv bug #257

Improvements

  • refine TODO items and align transforms.ColorJitter to torchvision(0.13.1):#264

Docs Update

Contributors A total of 3 developers contributed to this release. Thanks @BBuf, @rentainhe, @Flowingsun007

V0.2.0

New Features

  • Support SENet model and pretrained weight #149

  • Support ResNeSt model and pretrained weight #156

  • Support PoolFormer model and pretrained weight #137

  • Support RegionViT model and pretrained weight #144

  • Support UniFormer model and pretrained weight #147

  • Support IResNet model for face recognition #160

  • Support VAN model and pretrained weight #166

  • Support Dynamic convolution module #166

  • Support transforms.RandomGrayscale method #171

  • Support RegNet model and pretrained weight #166

  • Support LeViT model and pretrained weight #177

  • Support transforms.GaussianBlur method #188

  • Support SUN397,Country211, dataset #215

  • Support Flowers102,FGVCAircraft,OxfordIIITPet,DTD,Food101,RenderedSST2,StanfordCars,PCAM,EuroSAT,GTSRB,CLEVR,FER2013 dataset #217

  • Support MobileViT model and pretrained weight #231

  • Support DeiT III model and pretrained weight #239

  • Support CaiT model and pretrained weight #239

  • Support DLA model and pretrained weight #239

  • Support GENet model and pretrained weight #250

  • Support HRNet model and pretrained weight #250

  • Support FAN model and pretrained weight #250

Bug Fixes

  • Fix benchmark normalize mode error #146

Improvements

Docs Update

  • Add SEModule Docs #143

  • Add Scheduler and Data Docs #189

Contributors A total of x developers contributed to this release.

v0.1.0 (10/02/2022)

New Features

  • Support trunc_normal_ in flowvision.layers.weight_init #92

  • Support DeiT model #115

  • Support PolyLRScheduler and TanhLRScheduler in flowvision.scheduler #85

  • Add resmlp_12_224_dino model and pretrained weight #128

  • Support ConvNeXt model #93

  • Add ReXNet weights #132

Bug Fixes

  • Fix F.normalize usage in SSD #116

  • Fix bug in EfficientNet and Res2Net #122

  • Fix error pretrained weight usage in vit_small_patch32_384 and res2net50_48w_2s #128

Improvements

  • Refator trunc_normal_ and linspace usage in Swin-T, Cross-Former, PVT and CSWin models #100

  • Refator Vision Transformer model #115

  • Refine flowvision.models.ModelCreator to support ModelCreator.model_list func #123

  • Refator README #124

  • Refine load_state_dict_from_url in flowvision.models.utils to support downloading pretrained weights to cache dir ~/.oneflow/flowvision_cache #127

  • Rebuild a cleaner model zoo and test all the model with pretrained weights released in flowvision #128

Docs Update

  • Update Vision Transformer docs #115

  • Add Getting Started docs #124

  • Add resmlp_12_224_dino docs #128

  • Fix VGG docs bug #128

  • Add ConvNeXt docs #93

Contributors

A total of 5 developers contributed to this release. Thanks @rentainhe, @simonJJJ, @kaijieshi7, @lixiang007666, @Ldpe2G