MindCV 0.2.0

What's Changed

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

New Contributors

• @Ash-Lee233 made their first contribution in #431
• @QP-AA made their first contribution in #446
• @zhtmike made their first contribution in #451
• @Silver0930 made their first contribution in #452
• @wcrzlh made their first contribution in #481
• @eltociear made their first contribution in #430
• @xusheng365 made their first contribution in #523
• @bnucsy made their first contribution in #529
• @SunJuil-Ty made their first contribution in #519
• @ziyi-luo made their first contribution in #492

Full Changelog: v0.1.1...v0.2.0