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
- @lxg39 made their first contribution in #676
- @chujinjin101 made their first contribution in #730
- @Fzilan made their first contribution in #735
Full Changelog: v0.2.2...v0.3.0