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MindCV 0.3.0

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@geniuspatrick geniuspatrick released this 17 Jan 09:33
· 32 commits to main since this release
f9478c6

What's Changed

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

New Contributors

Full Changelog: v0.2.2...v0.3.0