diff --git a/.gitignore b/.gitignore
index 77824a97a7..9b7cffbc88 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,7 +103,6 @@ venv.bak/
 # mypy
 .mypy_cache/
 
-mmseg/version.py
 data
 .vscode
 .idea
diff --git a/README.md b/README.md
index e512f5e4ca..63352663de 100644
--- a/README.md
+++ b/README.md
@@ -44,7 +44,8 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.5.0 was released in 10/7/2020.
+v0.5.1 was released in 11/08/2020.
+Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Benchmark and model zoo
 
diff --git a/docs/changelog.md b/docs/changelog.md
new file mode 100644
index 0000000000..9efa48b24d
--- /dev/null
+++ b/docs/changelog.md
@@ -0,0 +1,15 @@
+## Changelog
+
+### v0.5.1 (11/08/2020)
+**Highlights**
+- Support FP16 and more generalized OHEM
+**Bug Fixes**
+- Fixed Pascal VOC conversion script (#19)
+- Fixed OHEM weight assign bug (#54)
+- Fixed palette type when palette is not given (#27)
+**New Features**
+- Support FP16 (#21)
+- Generalized OHEM (#54)
+**Improvements**
+- Add load-from flag (#33)
+- Fixed training tricks doc about different learning rates of model (#26)
diff --git a/docs/conf.py b/docs/conf.py
index 20f2534dec..d8b473b461 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -20,10 +20,17 @@
 project = 'MMSegmentation'
 copyright = '2020-2020, OpenMMLab'
 author = 'MMSegmentation Authors'
+version_file = '../mmseg/version.py'
+
+
+def get_version():
+    with open(version_file, 'r') as f:
+        exec(compile(f.read(), version_file, 'exec'))
+    return locals()['__version__']
+
 
 # The full version, including alpha/beta/rc tags
-with open('../mmseg/VERSION', 'r') as f:
-    release = f.read().strip()
+release = get_version()
 
 # -- General configuration ---------------------------------------------------
 
diff --git a/docs/install.md b/docs/install.md
index b3400959db..a6def65d6b 100644
--- a/docs/install.md
+++ b/docs/install.md
@@ -54,10 +54,9 @@ pip install -e .  # or "python setup.py develop"
 
 Note:
 
-1. In `dev` mode, the git commit id will be written to the version number with step *d*, e.g. 0.5.0+c415a2e. The version will also be saved in trained models.
-It is recommended that you run step *d* each time you pull some updates from github. If C++/CUDA codes are modified, then this step is compulsory.
+1. The `version+git_hash` will also be saved in trained models meta, e.g. 0.5.0+c415a2e.
 
-2. When MMsegmentation is installed on `dev` mode, any local modifications made to the code will take effect without the need to reinstall it (unless you submit some commits and want to update the version number).
+2. When MMsegmentation is installed on `dev` mode, any local modifications made to the code will take effect without the need to reinstall it.
 
 3. If you would like to use `opencv-python-headless` instead of `opencv-python`,
 you can install it before installing MMCV.
diff --git a/docs/model_zoo.json b/docs/model_zoo.json
deleted file mode 100644
index cc14cce043..0000000000
--- a/docs/model_zoo.json
+++ /dev/null
@@ -1,2724 +0,0 @@
-{
-  "ccnet": {
-    "voc12aug": [
-      [
-        [
-          "CCNet",
-          "R-50-D8",
-          "512x512",
-          20000,
-          "6.0",
-          20.446969644812683,
-          76.168,
-          77.51245728562927,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_20k_voc12aug/ccnet_r50-d8_512x512_20k_voc12aug_20200617_193212-fad81784.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_20k_voc12aug/ccnet_r50-d8_512x512_20k_voc12aug_20200617_193212.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "512x512",
-          20000,
-          "9.5",
-          13.637111132708073,
-          77.274,
-          79.02193536016937,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_20k_voc12aug/ccnet_r101-d8_512x512_20k_voc12aug_20200617_193212-0007b61d.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_20k_voc12aug/ccnet_r101-d8_512x512_20k_voc12aug_20200617_193212.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-50-D8",
-          "512x512",
-          40000,
-          "-",
-          "-",
-          75.96300000000001,
-          77.03666314173265,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_40k_voc12aug/ccnet_r50-d8_512x512_40k_voc12aug_20200613_232127-c2a15f02.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_40k_voc12aug/ccnet_r50-d8_512x512_40k_voc12aug_20200613_232127.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "512x512",
-          40000,
-          "-",
-          "-",
-          77.86800000000001,
-          78.90226783309761,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_40k_voc12aug/ccnet_r101-d8_512x512_40k_voc12aug_20200613_232127-c30da577.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_40k_voc12aug/ccnet_r101-d8_512x512_40k_voc12aug_20200613_232127.log.json)"
-        ]
-      ]
-    ],
-    "cityscapes": [
-      [
-        [
-          "CCNet",
-          "R-50-D8",
-          "512x1024",
-          40000,
-          "6.0",
-          3.321448861645321,
-          77.757,
-          78.87281569371032,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x1024_40k_cityscapes/ccnet_r50-d8_512x1024_40k_cityscapes_20200616_142517-4123f401.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x1024_40k_cityscapes/ccnet_r50-d8_512x1024_40k_cityscapes_20200616_142517.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "512x1024",
-          40000,
-          "9.5",
-          2.3057084889880533,
-          76.346,
-          78.19477535704155,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x1024_40k_cityscapes/ccnet_r101-d8_512x1024_40k_cityscapes_20200616_142540-a3b84ba6.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x1024_40k_cityscapes/ccnet_r101-d8_512x1024_40k_cityscapes_20200616_142540.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-50-D8",
-          "769x769",
-          40000,
-          "6.8",
-          1.4297640908184566,
-          78.461,
-          79.9288478571096,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_769x769_40k_cityscapes/ccnet_r50-d8_769x769_40k_cityscapes_20200616_145125-76d11884.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_769x769_40k_cityscapes/ccnet_r50-d8_769x769_40k_cityscapes_20200616_145125.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "769x769",
-          40000,
-          "10.7",
-          1.0054480750692631,
-          76.941,
-          78.62346948358564,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_769x769_40k_cityscapes/ccnet_r101-d8_769x769_40k_cityscapes_20200617_101428-4f57c8d0.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_769x769_40k_cityscapes/ccnet_r101-d8_769x769_40k_cityscapes_20200617_101428.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-50-D8",
-          "512x1024",
-          80000,
-          "-",
-          "-",
-          79.035,
-          80.1605485551008,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x1024_80k_cityscapes/ccnet_r50-d8_512x1024_80k_cityscapes_20200617_010421-869a3423.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x1024_80k_cityscapes/ccnet_r50-d8_512x1024_80k_cityscapes_20200617_010421.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "512x1024",
-          80000,
-          "-",
-          "-",
-          78.86800000000001,
-          79.89770560760813,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x1024_80k_cityscapes/ccnet_r101-d8_512x1024_80k_cityscapes_20200617_203935-ffae8917.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x1024_80k_cityscapes/ccnet_r101-d8_512x1024_80k_cityscapes_20200617_203935.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-50-D8",
-          "769x769",
-          80000,
-          "-",
-          "-",
-          79.295,
-          81.07581708289482,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_769x769_80k_cityscapes/ccnet_r50-d8_769x769_80k_cityscapes_20200617_010421-73eed8ca.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_769x769_80k_cityscapes/ccnet_r50-d8_769x769_80k_cityscapes_20200617_010421.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "769x769",
-          80000,
-          "-",
-          "-",
-          79.449,
-          80.65765062513057,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_769x769_80k_cityscapes/ccnet_r101-d8_769x769_80k_cityscapes_20200618_011502-ad3cd481.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_769x769_80k_cityscapes/ccnet_r101-d8_769x769_80k_cityscapes_20200618_011502.log.json)"
-        ]
-      ]
-    ],
-    "ade20k": [
-      [
-        [
-          "CCNet",
-          "R-50-D8",
-          "512x512",
-          80000,
-          "8.8",
-          20.889847025344185,
-          41.776,
-          42.980388602332184,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_80k_ade20k/ccnet_r50-d8_512x512_80k_ade20k_20200615_014848-aa37f61e.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_80k_ade20k/ccnet_r50-d8_512x512_80k_ade20k_20200615_014848.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "512x512",
-          80000,
-          "12.2",
-          14.108705519350595,
-          43.972,
-          45.13437368692854,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_80k_ade20k/ccnet_r101-d8_512x512_80k_ade20k_20200615_014848-1f4929a3.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_80k_ade20k/ccnet_r101-d8_512x512_80k_ade20k_20200615_014848.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-50-D8",
-          "512x512",
-          160000,
-          "-",
-          "-",
-          42.079,
-          43.131354987778764,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_160k_ade20k/ccnet_r50-d8_512x512_160k_ade20k_20200616_084435-7c97193b.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r50-d8_512x512_160k_ade20k/ccnet_r50-d8_512x512_160k_ade20k_20200616_084435.log.json)"
-        ],
-        [
-          "CCNet",
-          "R-101-D8",
-          "512x512",
-          160000,
-          "-",
-          "-",
-          43.706,
-          45.043400185988624,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_160k_ade20k/ccnet_r101-d8_512x512_160k_ade20k_20200616_000644-e849e007.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ccnet/ccnet_r101-d8_512x512_160k_ade20k/ccnet_r101-d8_512x512_160k_ade20k_20200616_000644.log.json)"
-        ]
-      ]
-    ]
-  },
-  "ocrnet": {
-    "cityscapes": [
-      [
-        [
-          "OCRNet",
-          "HRNetV2p-W18-Small",
-          "512x1024",
-          40000,
-          "3.5",
-          10.452887853499684,
-          74.30099999999999,
-          75.94532264911325,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18s_512x1024_40k_cityscapes/ocrnet_hr18s_512x1024_40k_cityscapes_20200601_033304-fa2436c2.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18s_512x1024_40k_cityscapes/ocrnet_hr18s_512x1024_40k_cityscapes_20200601_033304.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W18",
-          "512x1024",
-          40000,
-          "4.7",
-          7.504321415510909,
-          77.71900000000001,
-          79.49233034088692,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes/ocrnet_hr18_512x1024_40k_cityscapes_20200601_033320-401c5bdd.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes/ocrnet_hr18_512x1024_40k_cityscapes_20200601_033320.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W48",
-          "512x1024",
-          40000,
-          "8.0",
-          4.215373853142414,
-          80.58,
-          81.79213277409706,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes/ocrnet_hr48_512x1024_40k_cityscapes_20200601_033336-55b32491.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes/ocrnet_hr48_512x1024_40k_cityscapes_20200601_033336.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W18-Small",
-          "512x1024",
-          80000,
-          "-",
-          "-",
-          77.157,
-          78.66157171766707,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18s_512x1024_80k_cityscapes/ocrnet_hr18s_512x1024_80k_cityscapes_20200601_222735-55979e63.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18s_512x1024_80k_cityscapes/ocrnet_hr18s_512x1024_80k_cityscapes_20200601_222735.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W18",
-          "512x1024",
-          80000,
-          "-",
-          "-",
-          78.568,
-          80.45534029123633,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes/ocrnet_hr18_512x1024_80k_cityscapes_20200614_230521-c2e1dd4a.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes/ocrnet_hr18_512x1024_80k_cityscapes_20200614_230521.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W48",
-          "512x1024",
-          80000,
-          "-",
-          "-",
-          80.704,
-          81.87462053536443,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes/ocrnet_hr48_512x1024_80k_cityscapes_20200601_222752-9076bcdf.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes/ocrnet_hr48_512x1024_80k_cityscapes_20200601_222752.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W18-Small",
-          "512x1024",
-          160000,
-          "-",
-          "-",
-          78.448,
-          79.9684406563932,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18s_512x1024_160k_cityscapes/ocrnet_hr18s_512x1024_160k_cityscapes_20200602_191005-f4a7af28.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18s_512x1024_160k_cityscapes/ocrnet_hr18s_512x1024_160k_cityscapes_20200602_191005.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W18",
-          "512x1024",
-          160000,
-          "-",
-          "-",
-          79.473,
-          80.91408916940453,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes/ocrnet_hr18_512x1024_160k_cityscapes_20200602_191001-b9172d0c.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes/ocrnet_hr18_512x1024_160k_cityscapes_20200602_191001.log.json)"
-        ],
-        [
-          "OCRNet",
-          "HRNetV2p-W48",
-          "512x1024",
-          160000,
-          "-",
-          "-",
-          81.34599999999999,
-          82.69728960882979,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes/ocrnet_hr48_512x1024_160k_cityscapes_20200602_191037-dfbf1b0c.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes/ocrnet_hr48_512x1024_160k_cityscapes_20200602_191037.log.json)"
-        ]
-      ]
-    ],
-    "voc12aug": [
-      [
-        [
-          "OCRNet",
-          "HRNetV2p-W18-Small",
-          "512x512",
-          20000,
-          "3.5",
-          31.554844022107428,
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-          81.47591334418544,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233-0e9dfdc4.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233.log.json)"
-        ],
-        [
-          "DeepLabV3+",
-          "R-101-D8",
-          "769x769",
-          80000,
-          "-",
-          "-",
-          80.97999999999999,
-          82.17610990719812,
-          "[model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20200607_000405-a7573d20.pth) | [log](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmsegmentation/models/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20200607_000405.log.json)"
-        ]
-      ]
-    ]
-  }
-}
diff --git a/mmseg/VERSION b/mmseg/VERSION
deleted file mode 100644
index 8f0916f768..0000000000
--- a/mmseg/VERSION
+++ /dev/null
@@ -1 +0,0 @@
-0.5.0
diff --git a/mmseg/__init__.py b/mmseg/__init__.py
index 151fd63f55..11376951e9 100644
--- a/mmseg/__init__.py
+++ b/mmseg/__init__.py
@@ -1,3 +1,30 @@
-from .version import __version__, short_version, version_info
+import mmcv
 
-__all__ = ['__version__', 'short_version', 'version_info']
+from .version import __version__, version_info
+
+MMCV_MIN = '1.0.5'
+MMCV_MAX = '1.0.5'
+
+
+def digit_version(version_str):
+    digit_version = []
+    for x in version_str.split('.'):
+        if x.isdigit():
+            digit_version.append(int(x))
+        elif x.find('rc') != -1:
+            patch_version = x.split('rc')
+            digit_version.append(int(patch_version[0]) - 1)
+            digit_version.append(int(patch_version[1]))
+    return digit_version
+
+
+mmcv_min_version = digit_version(MMCV_MIN)
+mmcv_max_version = digit_version(MMCV_MAX)
+mmcv_version = digit_version(mmcv.__version__)
+
+
+assert (mmcv_min_version <= mmcv_version <= mmcv_max_version), \
+    f'MMCV=={mmcv.__version__} is used but incompatible. ' \
+    f'Please install mmcv>={mmcv_min_version}, <={mmcv_max_version}.'
+
+__all__ = ['__version__', 'version_info']
diff --git a/mmseg/utils/collect_env.py b/mmseg/utils/collect_env.py
index 8b82019668..c2b1cd4e94 100644
--- a/mmseg/utils/collect_env.py
+++ b/mmseg/utils/collect_env.py
@@ -7,7 +7,7 @@
 import mmcv
 import torch
 import torchvision
-from mmcv.utils.parrots_wrapper import get_build_config
+from mmcv.utils import get_build_config, get_git_hash
 
 import mmseg
 
@@ -53,7 +53,7 @@ def collect_env():
     env_info['OpenCV'] = cv2.__version__
 
     env_info['MMCV'] = mmcv.__version__
-    env_info['MMSegmentation'] = mmseg.__version__
+    env_info['MMSegmentation'] = f'{mmseg.__version__}+{get_git_hash()[:7]}'
     try:
         from mmcv.ops import get_compiler_version, get_compiling_cuda_version
         env_info['MMCV Compiler'] = get_compiler_version()
diff --git a/mmseg/version.py b/mmseg/version.py
new file mode 100644
index 0000000000..cae796d455
--- /dev/null
+++ b/mmseg/version.py
@@ -0,0 +1,18 @@
+# Copyright (c) Open-MMLab. All rights reserved.
+
+__version__ = '0.5.1'
+
+
+def parse_version_info(version_str):
+    version_info = []
+    for x in version_str.split('.'):
+        if x.isdigit():
+            version_info.append(int(x))
+        elif x.find('rc') != -1:
+            patch_version = x.split('rc')
+            version_info.append(int(patch_version[0]))
+            version_info.append(f'rc{patch_version[1]}')
+    return tuple(version_info)
+
+
+version_info = parse_version_info(__version__)
diff --git a/setup.py b/setup.py
index ab249fe718..2e69551b8f 100755
--- a/setup.py
+++ b/setup.py
@@ -1,81 +1,19 @@
-import os
-import subprocess
-import time
 from setuptools import find_packages, setup
 
-version_file = 'mmseg/version.py'
+
+def readme():
+    with open('README.md', encoding='utf-8') as f:
+        content = f.read()
+    return content
 
 
-def get_git_hash():
-
-    def _minimal_ext_cmd(cmd):
-        # construct minimal environment
-        env = {}
-        for k in ['SYSTEMROOT', 'PATH', 'HOME']:
-            v = os.environ.get(k)
-            if v is not None:
-                env[k] = v
-        # LANGUAGE is used on win32
-        env['LANGUAGE'] = 'C'
-        env['LANG'] = 'C'
-        env['LC_ALL'] = 'C'
-        out = subprocess.Popen(
-            cmd, stdout=subprocess.PIPE, env=env).communicate()[0]
-        return out
-
-    try:
-        out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD'])
-        sha = out.strip().decode('ascii')
-    except OSError:
-        sha = 'unknown'
-
-    return sha
-
-
-def get_hash():
-    if os.path.exists('.git'):
-        sha = get_git_hash()[:7]
-    elif os.path.exists(version_file):
-        try:
-            from mmseg.version import __version__
-            sha = __version__.split('+')[-1]
-        except ImportError:
-            raise ImportError('Unable to get git version')
-    else:
-        sha = 'unknown'
-
-    return sha
-
-
-def write_version_py():
-    content = """# GENERATED VERSION FILE
-# TIME: {}
-
-__version__ = '{}'
-short_version = '{}'
-version_info = ({})
-"""
-    sha = get_hash()
-    with open('mmseg/VERSION', 'r') as f:
-        SHORT_VERSION = f.read().strip()
-    VERSION_INFO = ', '.join(SHORT_VERSION.split('.'))
-    VERSION = SHORT_VERSION + '+' + sha
-
-    version_file_str = content.format(time.asctime(), VERSION, SHORT_VERSION,
-                                      VERSION_INFO)
-    with open(version_file, 'w') as f:
-        f.write(version_file_str)
+version_file = 'mmseg/version.py'
 
 
 def get_version():
     with open(version_file, 'r') as f:
         exec(compile(f.read(), version_file, 'exec'))
-    import sys
-    # return short version for sdist
-    if 'sdist' in sys.argv or 'bdist_wheel' in sys.argv:
-        return locals()['short_version']
-    else:
-        return locals()['__version__']
+    return locals()['__version__']
 
 
 def parse_requirements(fname='requirements.txt', with_version=True):
@@ -155,11 +93,12 @@ def gen_packages_items():
 
 
 if __name__ == '__main__':
-    write_version_py()
     setup(
         name='mmsegmentation',
         version=get_version(),
         description='Open MMLab Semantic Segmentation Toolbox and Benchmark',
+        long_description=readme(),
+        long_description_content_type='text/markdown',
         author='MMSegmentation Authors',
         author_email='openmmlab@gmail.com',
         keywords='computer vision, semantic segmentation',
diff --git a/tools/train.py b/tools/train.py
index 34c097fbf3..7f67c72004 100644
--- a/tools/train.py
+++ b/tools/train.py
@@ -7,7 +7,7 @@
 import mmcv
 import torch
 from mmcv.runner import init_dist
-from mmcv.utils import Config, DictAction
+from mmcv.utils import Config, DictAction, get_git_hash
 
 from mmseg import __version__
 from mmseg.apis import set_random_seed, train_segmentor
@@ -141,7 +141,7 @@ def main():
         # save mmseg version, config file content and class names in
         # checkpoints as meta data
         cfg.checkpoint_config.meta = dict(
-            mmseg_version=__version__,
+            mmseg_version=f'{__version__}+{get_git_hash()[:7]}',
             config=cfg.pretty_text,
             CLASSES=datasets[0].CLASSES,
             PALETTE=datasets[0].PALETTE)