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# 1. User Quick Guide
[](LICENSE)
This Installation will help you get started to setup CaffeOnACL on RK3399 quickly.
# 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
cd ~
#### Download "ACL" (arm_compute : [v17.06](https://github.com/ARM-software/ComputeLibrary/tree/dbdab85d6e0f96d3361a9e30310367d89953466c)):
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
# 3. Build CaffeOnACL
## 3.1 Build ACL :
cd ~/ComputeLibrary
aarch64-linux-gnu-gcc opencl-1.2-stubs/opencl_stubs.c -Iinclude -shared -o build/libOpenCL.so
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=~/ComputeLibrary
cd ~/CaffeOnACL
cp Makefile.config.acl Makefile.config
make all distribute
## 3.3 Build Unit tests
##### Build the gtest libraries
cd ~/googletest
cmake CMakeLists.txt
make
sudo make install
##### Build Caffe Unit tests
export CAFFE_ROOT=~/CaffeOnACL
cd ~/CaffeOnACL/unit_tests
make clean
make
## 3.4 To Configure The Libraries
sudo cp ~/ComputeLibrary/build/libarm_compute.so /usr/lib
sudo cp ~/CaffeOnACL/distribute/lib/libcaffe.so /usr/lib
# 4. Run tests
#### 4.1 Run Caffenet
cd ~/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"
#### 4.2 Run Unit test
cd ~/CaffeOnACL/unit_tests
./test_caffe_main
output message:
[==========] 29 tests from 6 test cases ran. (1236 ms total) [ PASSED ] 29 tests.
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