add v0.5.0 change_log (#139)

README.md

@@ -58,6 +58,7 @@ Please refer to [quick_start.md](docs/source/quick_start.md) for quick start. We
 * [object detection with yolox](docs/source/tutorials/yolox.md)
 * [model compression with yolox](docs/source/tutorials/compression.md)
 * [metric learning](docs/source/tutorials/metric_learning.md)
+* [torchacc](https://github.com/alibaba/EasyCV/blob/master/docs/source/tutorials/torchacc.md)
 
 notebook
 * [self-supervised learning](docs/source/tutorials/EasyCV图像自监督训练-MAE.ipynb)
@@ -83,6 +84,14 @@ Please refer to [data_hub.md](https://github.com/alibaba/EasyCV/blob/master/docs
 
 ## ChangeLog
 
+* 28/07/2022 EasyCV v0.5.0 was released.
+    * Self-Supervised support ConvMAE algorithm
+    * Classification support EfficientFormer algorithm
+    * Detection support FCOS、DETR、DAB-DETR and DN-DETR algorithm
+    * Segmentation support UperNet algorithm
+    * Support use [torchacc](https://github.com/alibaba/EasyCV/blob/master/docs/source/tutorials/torchacc.md) to speed up training
+    * Support use analyze tools
+
 * 23/06/2022 EasyCV v0.4.0 was released.
     * Add semantic segmentation modules, support FCN algorithm
     * Expand classification model zoo

README_zh-CN.md

@@ -70,6 +70,14 @@ EasyCV是一个涵盖多个领域的基于Pytorch的计算机视觉工具箱，
 
 ## 变更日志
 
+* 28/07/2022 EasyCV v0.5.0 版本发布。
+    * 自监督学习增加了ConvMAE算法
+    * 图像分类增加EfficientFormer
+    * 目标检测增加FCOS、DETR、DAB-DETR和DN-DETR算法
+    * 语义分割增加了UperNet算法
+    * 支持使用[torchacc](https://github.com/alibaba/EasyCV/blob/master/docs/source/tutorials/torchacc.md)加快训练速度
+    * 增加模型分析工具
+
 * 23/06/2022 EasyCV v0.4.0 版本发布。
     * 增加语义分割模块， 支持FCN算法
     * 扩充分类算法 model zoo

docs/source/change_log.md

@@ -68,3 +68,24 @@ EasyCV support multi-gpu and multi worker training. EasyCV use DALI to accelerat
 - Add moby swin-tiny pretrained model and benchmark ([#72](https://github.com/alibaba/EasyCV/pull/72))
 - Update prepare_data.md, add more details ([#69](https://github.com/alibaba/EasyCV/pull/69))
 - Optimize quantize code and support to export MNN model ([#44](https://github.com/alibaba/EasyCV/pull/44))
+
+# v 0.5.0 (28/07/2022)
+
+## Highlights
+- Self-Supervised support ConvMAE algorithm (([#101](https://github.com/alibaba/EasyCV/pull/101)) ([#121](https://github.com/alibaba/EasyCV/pull/121)))
+- Classification support EfficientFormer algorithm ([#128](https://github.com/alibaba/EasyCV/pull/128))
+- Detection support FCOS、DETR、DAB-DETR and DN-DETR algorithm (([#100](https://github.com/alibaba/EasyCV/pull/100)) ([#104](https://github.com/alibaba/EasyCV/pull/104)) ([#119](https://github.com/alibaba/EasyCV/pull/119)))
+- Segmentation support UperNet algorithm ([#118](https://github.com/alibaba/EasyCV/pull/118))
+- Support use torchacc to speed up training ([#105](https://github.com/alibaba/EasyCV/pull/105))
+
+## New Features
+- Support use analyze tools ([#133](https://github.com/alibaba/EasyCV/pull/133))
+
+## Bug Fixes
+- Update yolox config template and fix bugs ([#134](https://github.com/alibaba/EasyCV/pull/134))
+- Fix yolox detector prediction export error ([#125](https://github.com/alibaba/EasyCV/pull/125))
+- Fix common_io url error ([#126](https://github.com/alibaba/EasyCV/pull/126))
+
+## Improvements
+- Add ViTDet visualization ([#102](https://github.com/alibaba/EasyCV/pull/102))
+- Refactor detection pipline ([#104](https://github.com/alibaba/EasyCV/pull/104))

easycv/version.py

@@ -2,5 +2,5 @@
 # GENERATED VERSION FILE
 # TIME: Thu Nov  5 14:17:50 2020
 
-__version__ = '0.4.0'
-short_version = '0.4.0'
+__version__ = '0.5.0'
+short_version = '0.5.0'