bump version to 0.2.1 (#670)

README.md

@@ -292,19 +292,9 @@ Please see [configs](./configs) for the details about model performance and pret
 
 ## What is New
 
-- 2023/5/30
-1. New Models:
-    - AMP(O2) version of [VGG](configs/vgg)
-    - [GhostNet](configs/ghostnet)
-    - AMP(O3) version of [MobileNetV2](configs/mobilenetv2) and [MobileNetV3](configs/mobilenetv3)
-    - (x,y)_(200,400,600,800)mf of [RegNet](configs/regnet)
-    - b1g2, b1g4 & b2g4 of [RepVGG](configs/repvgg)
-    - 0.5 of [MnasNet](configs/mnasnet)
-    - b3 & b4 of [PVTv2](configs/pvt_v2)
-2. New Features:
-    - 3-Augment, Augmix, TrivialAugmentWide
-3. Bug Fixes:
-    - ViT pooling mode
+- 2023/6/2
+1. New version: `0.2.1` is released!
+2. New [documents](https://mindspore-lab.github.io/mindcv/) is online!
 
 See [RELEASE](RELEASE.md) for detailed history.
 

README_CN.md

@@ -294,6 +294,10 @@ python train.py --model=resnet50 --dataset=cifar10 \
 
 ## 更新
 
+- 2023/6/2
+1. 新版本：`0.2.1` 发布
+2. 新[文档](https://mindspore-lab.github.io/mindcv/zh/)上线
+
 - 2023/5/30
 1. 新模型:
     - [VGG](configs/vgg)混合精度(O2)版本

RELEASE.md

@@ -1,5 +1,11 @@
 # Release Note
 
+## 0.2.1
+
+- 2023/6/2
+1. New version: `0.2.1` is released!
+2. New [documents](https://mindspore-lab.github.io/mindcv/) is online!
+
 - 2023/5/30
 1. New Models:
     - AMP(O2) version of [VGG](configs/vgg)

mindcv/version.py

@@ -1,2 +1,2 @@
 """version init"""
-__version__ = "0.2.0"
+__version__ = "0.2.1"