Mindcv

What's Changed
* feat: update training recipe and trained weights of regnet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/695
* feat: add model script, training recipe and trained weights of Swin Transformer V2 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/673
* fix: fix bug in function load_pretrained by XixinYang in https://github.com/mindspore-lab/mindcv/pull/690
* feat: add model script, training configs and training weights of Volo by lxg39 in https://github.com/mindspore-lab/mindcv/pull/676
* hoxfix: mindspore is not compatible with the latest version of pillow by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/698
* feat: add model script, training recipe and pretrained weight of cmt_s by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/680
* feat: add jsd loss and asymmetric loss by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/682
* supports the augmentations splits by sageyou in https://github.com/mindspore-lab/mindcv/pull/658
* feat: support custom amp cast list by The-truthh in https://github.com/mindspore-lab/mindcv/pull/685
* refactor: uniform all model names and correct many other text errors; by XixinYang in https://github.com/mindspore-lab/mindcv/pull/701
* docs: fix typos in documents. by XixinYang in https://github.com/mindspore-lab/mindcv/pull/706
* fix ema and edgenext yaml bugs by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/703
* docs: fix typo in configs/vit/readme.md by XixinYang in https://github.com/mindspore-lab/mindcv/pull/708
* fix: fix the bug of mixnet config by The-truthh in https://github.com/mindspore-lab/mindcv/pull/696
* docs: Add the How-To Guide for Multi-Scale Feature Extraction by DexterJZ in https://github.com/mindspore-lab/mindcv/pull/709
* fix: fix crossvit 310 infer and update yaml by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/710
* fix: fix the incompatibility of swintransformerv2 on ms2.0 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/719
* feat: add model script, training recipe and pretrained weight of halonet by rabbit-fgh in https://github.com/mindspore-lab/mindcv/pull/720
* feat: SSD examples based on MindCV by DexterJZ in https://github.com/mindspore-lab/mindcv/pull/704
* docs: upgrade mkdocs version by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/734
* perf: optimize performance for pynative by chujinjin101 in https://github.com/mindspore-lab/mindcv/pull/730
* docs: add information for the argument “separate” when create transforms by sageyou in https://github.com/mindspore-lab/mindcv/pull/732
* feat: add model script, training configs and training weights of Volo by lxg39 in https://github.com/mindspore-lab/mindcv/pull/731
* docs: add tutorials of fine-tune on a custom dataset by XixinYang in https://github.com/mindspore-lab/mindcv/pull/711
* feat: add some utility scripts :sparkles: by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/738
* feat: DeepLabV3, DeepLabV3+ example based on MindCV by Fzilan in https://github.com/mindspore-lab/mindcv/pull/735
* docs: add explanation of suffix 'hardware' of training recipe in config README by The-truthh in https://github.com/mindspore-lab/mindcv/pull/739
* refactor: extend vit and add mae model and finetune checkpoint file by sageyou in https://github.com/mindspore-lab/mindcv/pull/707
* refactor: init value_and_grad by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/737
* feat: add mindspore-version CLIP (rewritten based on openAI-CLIP) by XixinYang in https://github.com/mindspore-lab/mindcv/pull/740
* feat: add mindspore-version open_clip by XixinYang in https://github.com/mindspore-lab/mindcv/pull/744
* fix: correct several bugs in open_clip by XixinYang in https://github.com/mindspore-lab/mindcv/pull/747
* fix: fix an bug in open_clip by XixinYang in https://github.com/mindspore-lab/mindcv/pull/748
* fix: fix bugs in deeplabv3 examples by Fzilan in https://github.com/mindspore-lab/mindcv/pull/754
* refactor(optimizer): change "filter_bias_and_bn" to "weight_decay_filter" by sageyou in https://github.com/mindspore-lab/mindcv/pull/752
* feat: upgrade ms to 2.2 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/756
* bump version to 0.3.0 by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/751

New Contributors
* lxg39 made their first contribution in https://github.com/mindspore-lab/mindcv/pull/676
* chujinjin101 made their first contribution in https://github.com/mindspore-lab/mindcv/pull/730
* Fzilan made their first contribution in https://github.com/mindspore-lab/mindcv/pull/735

**Full Changelog**: https://github.com/mindspore-lab/mindcv/compare/v0.2.2...v0.3.0

What's Changed
* feat: add model script, training recipe and trained weights of ConvNeXt V2 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/654
* feat: support gradient accumulation function by zhtmike in https://github.com/mindspore-lab/mindcv/pull/609
* refactor: modify filenames of pvtv2, inceptionv3, inceptionv4 and shufflenetv1&v2 by XixinYang in https://github.com/mindspore-lab/mindcv/pull/677
* feat: support DynamicLossScale for TrainStep by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/678
* feat: coat_mini update by SunJuil-Ty in https://github.com/mindspore-lab/mindcv/pull/662
* feat: add OneCycleLR and CyclicLR scheduler by The-truthh in https://github.com/mindspore-lab/mindcv/pull/657
* feat: better logging by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/684
* feat: add training recipe and pretrained weights of mnasnet_1.3 by XixinYang in https://github.com/mindspore-lab/mindcv/pull/679
* feat: support multi-scale feature extraction. by DexterJZ in https://github.com/mindspore-lab/mindcv/pull/643
* hotfix: fix the train_step optimizer.global_step type (int32 -> float32) bug by The-truthh in https://github.com/mindspore-lab/mindcv/pull/686
* feat: upgrade ms to v2.0 while maintaining compatibility of v1.8 by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/674
* fix: fix the bug of mobilenet_v3 on ms1.8 on Ascend in deployment tutorial by The-truthh in https://github.com/mindspore-lab/mindcv/pull/688
* feat: update training recipes and pretrained weights of shufflenet_v2 (amp_level: O3) by The-truthh in https://github.com/mindspore-lab/mindcv/pull/681
* fix: correct variable "keep_prob" to "drop_path_prob" of efficientnet by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/672
* hotfix: top_k save policy; coat_mini & coat_tiny recipe by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/689
* docs: update links in markdown files by XixinYang in https://github.com/mindspore-lab/mindcv/pull/687
* bump version to 0.2.2 by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/691

New Contributors
* DexterJZ made their first contribution in https://github.com/mindspore-lab/mindcv/pull/643

**Full Changelog**: https://github.com/mindspore-lab/mindcv/compare/v0.2.1...v0.2.2

What's Changed
* feat: add crossvit9 ckpt, yaml and ut test by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/585
* fix: remove usage of mindspore internal interface `_checkparam` by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/592
* feat: add model script, training recipe and trained weights of MobileViT by Rthete in https://github.com/mindspore-lab/mindcv/pull/582
* feat: update training recipe and trained weights of PiT by The-truthh in https://github.com/mindspore-lab/mindcv/pull/593
* feat: update training recipe and trained weights of MixNet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/594
* fix mlpmixer.py to make it work by XixinYang in https://github.com/mindspore-lab/mindcv/pull/596
* fix: correct checkpoint url of mobilenetv3-small by XixinYang in https://github.com/mindspore-lab/mindcv/pull/598
* fix the bug of using adan optimizer by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/599
* coat tiny update by SunJuil-Ty in https://github.com/mindspore-lab/mindcv/pull/600
* feat: update training recipe and trained weights of ResNeSt by The-truthh in https://github.com/mindspore-lab/mindcv/pull/601
* fix Modify the BatchNorm2d input parameters of xcit model by bnucsy in https://github.com/mindspore-lab/mindcv/pull/613
* feat: add training recipe and trained weights of Efficientnet_b1 by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/615
* fix: Correct Top-1 accuracy of several models; Update benchmark_results.md; Correct interpolation configure of visformer; Add reference to "re_value" in config.py; by XixinYang in https://github.com/mindspore-lab/mindcv/pull/618
* docs: update `What is New` in `readme` by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/641
* fix: Fix vit when pooling mode is not cls. by SamitHuang in https://github.com/mindspore-lab/mindcv/pull/612
* feat: update training recipe and trained weights of PVTV2 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/645
* feat: Add training recipe and pretrained weights of mnasnet_0.5 by XixinYang in https://github.com/mindspore-lab/mindcv/pull/619
* feat: add training recipe and trained weights of Repvgg by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/617
* fix: Correct top-1 and top-5 acc of repvgg_b1g4 by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/651
* feat: add training recipe & pretrained weights of regnet_(x,y)_(2,4,6,8)00mf by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/644
* feat: Update training recipes and pretrained weights of mobilenet v2 (amp_level: O3) by XixinYang in https://github.com/mindspore-lab/mindcv/pull/655
* feat: add three data augmentation apis（3-Augment， Augmix，TrivialAugmentWide） by sageyou in https://github.com/mindspore-lab/mindcv/pull/616
* feat: Update training recipes and pretrained weights of mobilenet v3 (amp_level: O3) by XixinYang in https://github.com/mindspore-lab/mindcv/pull/656
* feat: update model script, add training recipe and trained weights of GhostNet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/597
* fix: update acc1 of rexnet by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/660
* feat: add training recipe and trained weights of vgg (amp level O2) by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/659
* fix: update acc1 of mobilevit by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/661
* docs: migrate document builder to mkdocs by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/665
* docs: make sure that only the main branch of the main repo will deploy pages by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/666
* docs: set long_description to the contents of README.md as the description on PyPI by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/669
* bump version to 0.2.1 by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/670

New Contributors
* Rthete made their first contribution in https://github.com/mindspore-lab/mindcv/pull/582
* sageyou made their first contribution in https://github.com/mindspore-lab/mindcv/pull/616

**Full Changelog**: https://github.com/mindspore-lab/mindcv/compare/v0.2.0...v0.2.1

What's Changed
* [Feature] add training recipe and trained weights of googlenet, inception_v3, inception_v4, xception by The-truthh in https://github.com/mindspore-lab/mindcv/pull/397
* [Feature] Improve Random Seed by SamitHuang in https://github.com/mindspore-lab/mindcv/pull/408
* bit101 by QP-AA in https://github.com/mindspore-lab/mindcv/pull/446
* add hrnet_w32 and hrnet_w48 by zhtmike in https://github.com/mindspore-lab/mindcv/pull/451
* [feature] support get pretrained(default) cfg by model name by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/459
* [Feature] add model script, training recipe and trained weights of SENet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/460
* configure .gitattributes to manage how Git reads line endings by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/468
* [PyCQ] Add configuration of pre-commit, isort, black, flake8 by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/471
* [PyCQ] Automatically formatted by pre-commit-hooks. by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/472
* [PyCQ] Automatically formatted by isort & black. by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/473
* [PyCQ] Make flake8 happy. by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/474
* [PyCQ] Update CI/CD by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/475
* [docs] update badges in README; add PR template; update contributing.md by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/476
* add clip_grad by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/469
* improve solution 284 of fixing BCE loss w/o mixup by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/478
* [feat] add default download root instead of using current working dir by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/479
* modify ema name and clip_grad by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/483
* [feat] resorting and regrouping options in config.py by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/485
* Add Lion Optimizer by SamitHuang in https://github.com/mindspore-lab/mindcv/pull/484
* [Feature] add model script, training recipe and trained weights of MixNet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/467
* fixed set_seed bug by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/487
* [Feature] add training recipe and trained weights of DPN by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/481
* [feat] add trainer factory by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/489
* [Feature] add training recipe and trained weights of PVTV2 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/490
* [Feature] update mobilenetv3_small_100 trained weight by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/493
* [Feature] add training recipe and trained weights of VGG by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/495
* [Feature] add training recipe and trained weights of NasNet by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/509
* move callbacks train_step and trainer_factory to utils by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/502
* [Feature] update edgenext_base and edgenext_x_small by weizhenhuan in https://github.com/mindspore-lab/mindcv/pull/500
* Fix the typo of model name in nasnet_a_4x1056_ascend.yaml by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/514
* [hotfix] testing model forward on a subset instead of the full collection by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/522
* Add training configs and pretrained weights of squeezenet and readme by Silver0930 in https://github.com/mindspore-lab/mindcv/pull/494
* [Feature] add model script, training recipe and trained weights of bit50x3 by QP-AA in https://github.com/mindspore-lab/mindcv/pull/525
* add model mlpmixer by XixinYang in https://github.com/mindspore-lab/mindcv/pull/518
* [feat] make sure dataset is downloaded in default download path when … by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/524
* [Feature] add model script, training recipe and trained weights of CrossViT by xusheng365 in https://github.com/mindspore-lab/mindcv/pull/523
* [Feature] add training recipe and trained weights of ResNeXt by The-truthh in https://github.com/mindspore-lab/mindcv/pull/498
* [fix] update mobilenetv1 yaml acc by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/533
* [hotfix] disable parameter_broadcast when invoking set_auto_parallel_context by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/531
* [Feature] add training recipe and trained weights of Swin Transformer by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/530
* [Feature] add training recipe and trained weights of EfficientNet by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/527
* add xcit by bnucsy in https://github.com/mindspore-lab/mindcv/pull/529
* add coat by SunJuil-Ty in https://github.com/mindspore-lab/mindcv/pull/519
* [Feature] add model script, training recipe and trained weights of ResNeSt by The-truthh in https://github.com/mindspore-lab/mindcv/pull/532
* [Feature] add model script, training configs and training weights of resnetv2 by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/515
* Fix classifier_name bug in load_pretrain function by SamitHuang in https://github.com/mindspore-lab/mindcv/pull/535
* [Feature] add model script, training recipe and trained weights of PiT by ziyi-luo in https://github.com/mindspore-lab/mindcv/pull/492
* [fix] fixed resnet_152_gpu bug by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/545
* [Feature] update model script, training recipe and trained weights of GoogLeNet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/546
* [Feature] add training recipe and trained weights of RepVGG by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/560
* [Feature] add training weights and readme file of sknet by Silver0930 in https://github.com/mindspore-lab/mindcv/pull/534
* [Feature] add model script of cait by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/547
* [Feature] add edgenext_xx_small model yaml and ckpt by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/563
* [Feature] update training recipe and trained weights of PVTV2; fix training recipe bug of dynamic loss scale of PVTV2 by The-truthh in https://github.com/mindspore-lab/mindcv/pull/568
* [Feature] add training recipe and trained weights of ConvNeXt by The-truthh in https://github.com/mindspore-lab/mindcv/pull/561
* [Feature] update training recipe and trained weights of MixNet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/570
* [fix] update resnet ckpt url by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/548
* [feat] check if options from yaml config exist in argument parser by geniuspatrick in https://github.com/mindspore-lab/mindcv/pull/574
* [docs] add description of data sets that can be downloaded by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/573
* [refactor] update checkpoint url to uniform format by XixinYang in https://github.com/mindspore-lab/mindcv/pull/581
* updated readme what is new for changes to the resnet url by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/580
* [Fixed] fixed regnet yaml error by Songyuanwei in https://github.com/mindspore-lab/mindcv/pull/583
* [Feature] add training recipe and trained weights of repvgg_a0 by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/579
* [Feature] update training recipe and trained weights of ResNeXt by The-truthh in https://github.com/mindspore-lab/mindcv/pull/577
* [fix] correct checkpoint url of edgenext, resnet, resnetv2 by XixinYang in https://github.com/mindspore-lab/mindcv/pull/586
* [fix] Modify top-1 accuracy of MixNet by The-truthh in https://github.com/mindspore-lab/mindcv/pull/589
* [fix] Delete scale shufflenet_v1_g3_x1_5 and shufflenet_v1_g3_x2_0 of shufflenetv1 by Silver0930 in https://github.com/mindspore-lab/mindcv/pull/584
* [docs] update benchmark and add usage for gen_benchmark by wcrzlh in https://github.com/mindspore-lab/mindcv/pull/590

New Contributors
* Ash-Lee233 made their first contribution in https://github.com/mindspore-lab/mindcv/pull/431
* QP-AA made their first contribution in https://github.com/mindspore-lab/mindcv/pull/446
* zhtmike made their first contribution in https://github.com/mindspore-lab/mindcv/pull/451
* Silver0930 made their first contribution in https://github.com/mindspore-lab/mindcv/pull/452
* wcrzlh made their first contribution in https://github.com/mindspore-lab/mindcv/pull/481
* eltociear made their first contribution in https://github.com/mindspore-lab/mindcv/pull/430
* xusheng365 made their first contribution in https://github.com/mindspore-lab/mindcv/pull/523
* bnucsy made their first contribution in https://github.com/mindspore-lab/mindcv/pull/529
* SunJuil-Ty made their first contribution in https://github.com/mindspore-lab/mindcv/pull/519
* ziyi-luo made their first contribution in https://github.com/mindspore-lab/mindcv/pull/492

**Full Changelog**: https://github.com/mindspore-lab/mindcv/compare/v0.1.1...v0.2.0