update to v0.6rc0

MODEL_ZOO.md

@@ -10,11 +10,17 @@
 ### Software environment
 
 - Python 3.6 / 3.7
-- PyTorch 0.4.1
+- PyTorch 1.0
 - CUDA 9.0.176
 - CUDNN 7.0.4
 - NCCL 2.1.15
 
+Note: The train time was measured with PyTorch 0.4.1. We will update it later, which should be about 0.02s ~ 0.05s faster.
+
+## Mirror sites
+
+We use AWS as the main site to host our model zoo, and maintain a mirror on aliyun.
+You can replace `https://s3.ap-northeast-2.amazonaws.com` with `https://open-mmlab.oss-cn-beijing.aliyuncs.com` in model urls.
 
 ## Common settings
 

README.md

@@ -3,6 +3,9 @@
 
 ## Introduction
 
+The master branch works with **PyTorch 1.0**. If you would like to use PyTorch 0.4.1,
+please checkout to the [pytorch-0.4.1](https://github.com/open-mmlab/mmdetection/tree/pytorch-0.4.1) branch.
+
 mmdetection is an open source object detection toolbox based on PyTorch. It is
 a part of the open-mmlab project developed by [Multimedia Laboratory, CUHK](http://mmlab.ie.cuhk.edu.hk/).
 
@@ -36,6 +39,9 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Updates
 
+v0.6rc0(06/02/2019)
+- Migrate to PyTorch 1.0.
+
 v0.5.7 (06/02/2019)
 - Add support for Deformable ConvNet v2. (Many thanks to the authors and [@chengdazhi](https://github.com/chengdazhi))
 - This is the last release based on PyTorch 0.4.1.

setup.py

@@ -11,8 +11,8 @@ def readme():
 
 
 MAJOR = 0
-MINOR = 5
-PATCH = 7
+MINOR = 6
+PATCH = 'rc0'
 SUFFIX = ''
 SHORT_VERSION = '{}.{}.{}{}'.format(MAJOR, MINOR, PATCH, SUFFIX)