revise an error in documents

diff --git a/README.md b/README.md
index ac8dde9..8f77fb2 100644 (file)
--- a/README.md
+++ b/README.md
@@ -5,7 +5,6 @@ CaffeOnACL is a project to use ARM Compute Library (NEON+GPU) to speed up caffe
 
 Check out the documents for the details like
 - [release notes](https://github.com/OAID/caffeOnACL/tree/master/acl_openailab/README.md)
-- [user guide](https://github.com/OAID/caffeOnACL/tree/master/acl_openailab/Userguide.md)
 
 
 

diff --git a/acl_openailab/README.md b/acl_openailab/README.md
index e7383c1..f399f17 100644 (file)
--- a/acl_openailab/README.md
+++ b/acl_openailab/README.md
@@ -1,83 +1,17 @@
-![OPEN AI LAB](https://oaid.github.io/pics/openailab.png)
+<img src="openailab.png" width = "308" height = "88" alt="OPEN AI LAB" align=center />
 
-# 1. Release Notes
-[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
-
-Please refer to [CaffeOnACL Release NOTE](https://github.com/OAID/caffeOnACL/blob/master/acl_openailab/Reversion.md) for details
-
-# 2. Preparation
-## 2.1 General dependencies installation
-       sudo apt-get -y update
-       sodo apt-get -y upgrade
-       sudo apt-get install -y build-essential pkg-config automake autoconf protobuf-compiler cmake cmake-gui
-       sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev
-       sudo apt-get install -y libatlas-base-dev libgflags-dev libgoogle-glog-dev liblmdb-dev libopenblas-dev
-       sudo apt-get install -y libopencv-dev python-dev
-       sudo apt-get install -y python-numpy python-scipy python-yaml python-six python-pip
-       sudo apt-get install -y scons git
-       sudo apt-get install -y --no-install-recommends libboost-all-dev
-       pip install --upgrade pip
-
-## 2.2 Download source code
-Recommend creating a new directory in your work directory to execute the following steps. For example, you can create a direcotry named "oaid" in your home directory by the following commands.<br>
-
-       cd ~
-       mkdir oaid
-       cd oaid
+The **Arm Compute Library** is a collection of low-level software functions optimized for Arm Cortex CPU and Arm Mali GPU architectures, targeted at a variety of use-cases including: **image processing**, **computer vision and machine learning**.  [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
 
-#### Download "ACL" (arm_compute : v17.05):
-       git clone https://github.com/ARM-software/ComputeLibrary.git
-#### Download "CaffeOnACL" :
-       git clone https://github.com/OAID/caffeOnACL.git
-#### Download "Googletest" :
-       git clone https://github.com/google/googletest.git
+**OPEN** AI LAB ported the [Caffe](http://caffe.berkeleyvision.org/) to support Arm Compute Library on  Rockchip RK3399. The target OS is Ubuntu 16.04. [![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
 
-# 3. Build CaffeOnACL
-## 3.1 Build ACL :
-       cd ~/oaid/ComputeLibrary
-       scons Werror=1 -j8 debug=0 asserts=1 neon=1 opencl=1 embed_kernels=1 os=linux arch=arm64-v8a
-
-## 3.2 Build Caffe :
-       export ACL_ROOT=~/oaid/ComputeLibrary
-       cd ~/oaid/caffeOnACL
-       cp acl_openailab/Makefile.config.acl Makefile.config
-       make all distribute
-
-## 3.3 Build Unit tests
-##### Build the gtest libraries
-       cd ~/oaid/googletest
-       cmake CMakeLists.txt
-       make
-       sudo make install
-
-##### Build Caffe Unit tests
-       export CAFFE_ROOT=~/oaid/caffeOnACL
-       cd ~/oaid/caffeOnACL/unit_tests
-       make clean
-       make
-
-## 3.3 Run tests
-If the output message of the following two tests is same as the examples, it means the porting is success.
+# 1. Release Notes
+Please refer to [Release Notes](release_notes.md) for details
 
-       export LD_LIBRARY_PATH=~/oaid/caffeOnACL/distribute/lib:~/oaid/ComputeLibrary/build
+# 2. Installation
+Please refer to [Installation](installation.md) for details
 
-#### Reference Caffenet
-       cd  ~/oaid/caffeOnACL/data/ilsvrc12
-       sudo chmod +x get_ilsvrc_aux.sh
-       ./get_ilsvrc_aux.sh
-       cd ../..
-       ./scripts/download_model_binary.py ./models/bvlc_reference_caffenet
-       ./distribute/bin/classification.bin models/bvlc_reference_caffenet/deploy.prototxt models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel data/ilsvrc12/imagenet_mean.binaryproto data/ilsvrc12/synset_words.txt examples/images/cat.jpg
-       output message --
-         ---------- Prediction for examples/images/cat.jpg ----------
-         0.3094 - "n02124075 Egyptian cat"
-         0.1761 - "n02123159 tiger cat"
-         0.1221 - "n02123045 tabby, tabby cat"
-         0.1132 - "n02119022 red fox, Vulpes vulpes"
-         0.0421 - "n02085620 Chihuahua"
+# 3. Performance Report
+Please refer to [Performance Report](performance_report.pdf) for details
 
-#### Unit test
-         cd ~/oaid/caffeOnACL/unit_tests
-         ./test_caffe_main
-         output message:
-           [==========] 29 tests from 6 test cases ran. (1236 ms total) [ PASSED ] 29 tests.
+# 4. User Manual 
+Please refer to [User Manual](user_manual.pdf) for details