diff --git a/docker/README.md b/docker/README.md
deleted file mode 100644
index 7ef46679bf4af1d7e73471bb1f6a9312b869160f..0000000000000000000000000000000000000000
--- a/docker/README.md
+++ /dev/null
@@ -1,3 +0,0 @@
-# Usage
-
-Wiki url: [http://v9.git.n.xiaomi.com/deep-computing/mace/wikis/Docker%20Environment/Usage](http://v9.git.n.xiaomi.com/deep-computing/mace/wikis/Docker%20Environment/Usage)
diff --git a/docker/gitlab-runner/Dockerfile b/docker/gitlab-runner/Dockerfile
index 2a102cf0fd01ff53f4f8ab0287f0e8dfa3d89743..b24522ff821092b387eccf6e9829dc84f097d579 100644
--- a/docker/gitlab-runner/Dockerfile
+++ b/docker/gitlab-runner/Dockerfile
@@ -1,4 +1,4 @@
-FROM miaimace/mace-dev:latest
+FROM xiaomimace/mace-dev:latest
# Update source
RUN apt-get update -y
diff --git a/docs/getting_started/how_to_build.rst b/docs/getting_started/how_to_build.rst
index 552269a0a5bb219848c5ee68c63d32bc819ca1d3..f541660ef80513bc8fca355fe01b01c8d6fee351 100644
--- a/docs/getting_started/how_to_build.rst
+++ b/docs/getting_started/how_to_build.rst
@@ -68,38 +68,16 @@ the pre-built image is also available:
.. code:: sh
- sudo docker pull cr.d.xiaomi.net/mace/mace-dev
- sudo docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path cr.d.xiaomi.net/mace/mace-dev /bin/bash
+ # Build with Dockerfile
+ cd docker
+ docker build -t xiaomimace/mace-dev
+ # Pull image from docker hub
+ docker pull xiaomimace/mace-dev
-Docker Images
-----------------
-
-* Login in `Xiaomi Docker Registry `__
-
-.. code:: sh
-
- docker login cr.d.xiaomi.net
-
-* Build with Dockerfile
-
-.. code:: sh
-
- docker build -t cr.d.xiaomi.net/mace/mace-dev
-
-
-* Pull image from docker registry
-
-.. code:: sh
-
- docker pull cr.d.xiaomi.net/mace/mace-dev
-
-* Create container
-
-.. code:: sh
-
+ # Create container
# Set 'host' network to use ADB
- docker run -it --rm -v /local/path:/container/path --net=host cr.d.xiaomi.net/mace/mace-dev /bin/bash
+ docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path xiaomimace/mace-dev /bin/bash
Usage
@@ -130,9 +108,7 @@ Usage
TensorFlow provides a
`Graph Transform Tool `__
-to improve inference efficiency. You can build it from TensorFlow source,
-or download `a pre-compiled x86-64 binary `__.
-The MiAI Compute Engine docker image has this tool pre-installed.
+to improve inference efficiency.
The following commands show the suggested graph transformations and
optimizations for CPU, GPU and DSP runtime.
diff --git a/docs/getting_started/how_to_build_zh.rst b/docs/getting_started/how_to_build_zh.rst
index 11897f4b74909c7dbdc50dc9b0a00694dc6f9261..7bbf05d93f8fa076c74aceb611c851a1e26a0e71 100644
--- a/docs/getting_started/how_to_build_zh.rst
+++ b/docs/getting_started/how_to_build_zh.rst
@@ -23,8 +23,16 @@ MiAI计算引擎提供了包含开发运行所需环境的docker镜像,镜像
.. code:: sh
- sudo docker pull cr.d.xiaomi.net/mace/mace-dev
- sudo docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path cr.d.xiaomi.net/mace/mace-dev /bin/bash
+ # 从Dockerfile编译镜像
+ cd docker
+ docker build -t xiaomimace/mace-dev
+
+ # 从docker hub拉取镜像
+ docker pull xiaomimace/mace-dev
+
+ # 创建容器
+ # 为了adb连接需要设置'host'参数
+ docker run -it --rm --privileged -v /dev/bus/usb:/dev/bus/usb --net=host -v /local/path:/container/path xiaomimace/mace-dev /bin/bash
如果用户希望配置开发机上的环境,可以参考如下环境要求:
@@ -70,35 +78,6 @@ MiAI计算引擎提供了包含开发运行所需环境的docker镜像,镜像
- >= 17.09.0-ce
- `install doc `__
-Docker Images
-----------------
-
-* Login in `Xiaomi Docker Registry `__
-
-.. code:: sh
-
- docker login cr.d.xiaomi.net
-
-* Build with Dockerfile
-
-.. code:: sh
-
- docker build -t cr.d.xiaomi.net/mace/mace-dev
-
-
-* Pull image from docker registry
-
-.. code:: sh
-
- docker pull cr.d.xiaomi.net/mace/mace-dev
-
-* Create container
-
-.. code:: sh
-
- # Set 'host' network to use ADB
- docker run -it --rm -v /local/path:/container/path --net=host cr.d.xiaomi.net/mace/mace-dev /bin/bash
-
使用简介
--------
@@ -133,10 +112,7 @@ Docker Images
TensorFlow训练得到的模型进行一系列的转换,可以提升设备上的运行速度。TensorFlow提供了官方工具
`TensorFlow Graph Transform
Tool `__
-来进行模型优化
-(此工具Docker镜像中已经提供,也可以直接点击
-`transform_graph `__
-下载这个工具,用户亦可从官方源码编译)。以下分别是GPU模型和DSP模型的优化命令:
+来进行模型优化。以下分别是GPU模型和DSP模型的优化命令:
.. code:: sh