MobileNet-SSDLite-RealSense-TF

RaspberryPi3(Raspbian Stretch) MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) RealSense D435 Tensorflow without Neural Compute Stick(NCS)

Change history

[Dec 02, 2018]　Corresponds to OpenCV3.4.3,Tensorflow v1.11.0, Protobuf 3.6.1, librealsense v2.16.5, D435 Firmware v5.10.6

Environment

RaspberryPi3 Raspbian Stretch
OpenCV 3.4.3 (Nov 25, 2018 updated)
VFPV3 or TBB(Intel Threading Building Blocks)
Tensorflow 1.11.0 (Nov 25, 2018 updated)
Protobuf 3.6.1 (Nov 25, 2018 updated)
librealsense v2.16.5 (Nov 25, 2018 updated)
cmake 3.11.4
MobileNetv2-SSDLite [MSCOCO]
RealSense D435 (Firmware ver v5.10.6)
Python3.5
Numpy
OpenGL

Videos under test by Ubuntu 16.04

By RaspberryPi3 with OpenGL

RaspberryPi environment construction sequence

0.【Run in Ubuntu 16.04 environment】 Realsense D435's Firmware update

$ echo 'deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo xenial main' | sudo tee /etc/apt/sources.list.d/realsensepublic.list
$ sudo apt-key adv --keyserver keys.gnupg.net --recv-key 6F3EFCDE
$ sudo apt-get update
$ sudo apt-get install intel-realsense-dfu*
$ mkdir v5.10.6;cd v5.10.6
$ wget -O v5.10.6.zip https://downloadmirror.intel.com/28237/eng/Intel® RealSense™D400 Series Signed Production Firmware v5_10_6.zip
$ unzip v5.10.6.zip

$ lsusb
### Below is sample.
Bus 002 Device 003: ID 8086:0b07 Intel Corp.

$ intel-realsense-dfu -b 002 -d 003 -f -i ./Signed_Image_UVC_5_10_6_0.bin
$ intel-realsense-dfu -p
FW version on device = 5.10.6.0
MM FW Version = 255.255.255.255

1.【Run in RaspberryPi environment】 Extend the SWAP area

$ sudo nano /etc/dphys-swapfile
CONF_SWAPSIZE=2048

$ sudo /etc/init.d/dphys-swapfile restart;swapon -s

2-1.Install tensorflow 1.11.0 (Raspbian Stretch)

$ sudo -H pip3 install pip --upgrade
$ sudo apt-get install python-pip python3-pip python3-scipy libhdf5-dev
$ sudo apt-get install -y openmpi-bin libopenmpi-dev
$ sudo pip3 uninstall tensorflow
$ wget -O tensorflow-1.11.0-cp35-cp35m-linux_armv7l.whl https://github.com/PINTO0309/Tensorflow-bin/raw/master/tensorflow-1.11.0-cp35-cp35m-linux_armv7l_jemalloc.whl
$ sudo pip3 install tensorflow-1.11.0-cp35-cp35m-linux_armv7l.whl
【Required】Restart the terminal

2-2.Install tensorflow 1.11.0 (Ubuntu16.04 x86_64)

$ sudo -H pip3 install pip --upgrade
$ sudo -H pip3 install tensorflow==1.11.0 --upgrade

3.Install package and update udev rule

$ sudo pip3 install pillow lxml jupyter matplotlib cython
$ sudo apt install -y git libssl-dev libusb-1.0-0-dev pkg-config libgtk-3-dev \
libglfw3-dev at-spi2-core libdrm* python-tk libjpeg-dev libtiff5-dev \
libjasper-dev libpng12-dev libavcodec-dev libavformat-dev \
libswscale-dev libv4l-dev libxvidcore-dev libx264-dev qt4-dev-tools \
autoconf automake libtool curl libatlas-base-dev
$ cd /etc/udev/rules.d/
$ sudo wget https://raw.githubusercontent.com/IntelRealSense/librealsense/master/config/99-realsense-libusb.rules
$ sudo udevadm control --reload-rules && udevadm trigger

4.Install cmake-3.11.4

$ cd ~
$ wget https://cmake.org/files/v3.11/cmake-3.11.4.tar.gz
$ tar -zxvf cmake-3.11.4.tar.gz;rm cmake-3.11.4.tar.gz
$ cd cmake-3.11.4
$ ./configure --prefix=/home/pi/cmake-3.11.4
$ sudo make -j1
$ sudo make install
$ export PATH=/home/pi/cmake-3.11.4/bin:$PATH
$ source ~/.bashrc
$ cmake --version
cmake version 3.11.4

5.Update LD_LIBRARY_PATH

$ nano ~/.bashrc
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH

$ source ~/.bashrc

6-1.Install protobuf 3.6.1 (Raspbian Stretch)

$ cd ~
$ wget https://github.com/google/protobuf/releases/download/v3.6.1/protobuf-all-3.6.1.tar.gz
$ tar -zxvf protobuf-all-3.6.1.tar.gz
$ cd protobuf-3.6.1
$ ./configure
$ make -j1
$ sudo make install
$ nano ~/.bashrc
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/<username>/protobuf-3.6.1/src/.libs

$ source ~/.bashrc
$ cd python
$ python3 setup.py build --cpp_implementation 
$ python3 setup.py test --cpp_implementation
$ sudo python3 setup.py install --cpp_implementation
$ export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
$ export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION_VERSION=3
$ sudo ldconfig
$ protoc --version

6-2.Install protobuf 3.6.1 (Ubuntu16.04 x86_64)

$ cd git;mkdir protobuf;cd protobuf
$ wget -O protoc-3.6.1-linux-x86_64.zip https://github.com/protocolbuffers/protobuf/releases/download/v3.6.1/protoc-3.6.1-linux-x86_64.zip
$ unzip protoc-3.6.1-linux-x86_64.zip
$ rm protoc-3.6.1-linux-x86_64.zip
$ sudo mv -f bin/* /usr/local/bin/
$ sudo mv -bf include/* /usr/local/include/
$ sudo chown $USER /usr/local/bin/protoc
$ sudo chown -R $USER /usr/local/include/google
$ sudo ldconfig
$ nano ~/.bashrc
export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION_VERSION=2

$ source ~/.bashrc

7.Install TBB (Raspbian Stretch / Intel Threading Buiding Blocks)

$ cd ~
$ wget https://github.com/PINTO0309/TBBonARMv7/raw/master/libtbb-dev_2018U2_armhf.deb
$ sudo dpkg -i ~/libtbb-dev_2018U2_armhf.deb
$ sudo ldconfig
$ rm libtbb-dev_2018U2_armhf.deb

8.Install OpenCV 3.4.3(Raspbian Stretch / with TBB, with DNN, with OpenGL)

$ cd ~
$ wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.4.3.zip
$ unzip opencv.zip;rm opencv.zip
$ wget -O opencv_contrib.zip https://github.com/Itseez/opencv_contrib/archive/3.4.3.zip
$ unzip opencv_contrib.zip;rm opencv_contrib.zip
$ cd ~/opencv-3.4.3/;mkdir build;cd build
$ cmake -D CMAKE_CXX_FLAGS="-DTBB_USE_GCC_BUILTINS=1 -D__TBB_64BIT_ATOMICS=0" \
        -D CMAKE_BUILD_TYPE=RELEASE \
        -D CMAKE_INSTALL_PREFIX=/usr/local \
        -D INSTALL_PYTHON_EXAMPLES=OFF \
        -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.4.3/modules \
        -D BUILD_EXAMPLES=OFF \
        -D PYTHON_DEFAULT_EXECUTABLE=$(which python3) \
        -D INSTALL_PYTHON_EXAMPLES=OFF \
        -D BUILD_opencv_python2=ON \
        -D BUILD_opencv_python3=ON \
        -D WITH_OPENCL=OFF \
        -D WITH_OPENGL=ON \
        -D WITH_TBB=ON \
        -D BUILD_TBB=OFF \
        -D WITH_CUDA=OFF \
        -D ENABLE_NEON:BOOL=ON \
        -D ENABLE_VFPV3=ON \
        -D WITH_QT=OFF \
        -D BUILD_TESTS=OFF ..
$ make -j1
$ sudo make install
$ sudo ldconfig

9.Install Intel® RealSense™ SDK 2.0

$ cd ~
$ git clone -b v2.16.5 https://github.com/IntelRealSense/librealsense.git
$ cd ~/librealsense
$ git checkout -b v2.16.5
$ mkdir build;cd build

$ cmake .. -DBUILD_EXAMPLES=true -DCMAKE_BUILD_TYPE=Release
OR
$ cmake .. -DBUILD_EXAMPLES=true

$ make -j1　# When running on a resource rich PC, "make -j8"
$ sudo make install

10.Install OpenCV Wrapper

$ cd ~/librealsense/wrappers/opencv;mkdir build;cd build
$ cmake ..
$ nano ../latency-tool/CMakeLists.txt
target_link_libraries(rs-latency-tool ${DEPENDENCIES} pthread)
$ make -j $(($(nproc)   1))
$ sudo make install
$ cd ~/librealsense/build

#Python3.x
$ cmake .. -DBUILD_PYTHON_BINDINGS=bool:true -DPYTHON_EXECUTABLE=$(which python3)

OR

#Python2.x
$ cmake .. -DBUILD_PYTHON_BINDINGS=bool:true -DPYTHON_EXECUTABLE=$(which python)

$ make -j1
$ sudo make install
$ nano ~/.bashrc
export PYTHONPATH=$PYTHONPATH:/usr/local/lib

$ source ~/.bashrc

11.Installing the OpenGL package for Python

$ sudo apt-get install python-opengl
$ sudo -H pip3 install pyopengl
$ sudo -H pip3 install pyopengl_accelerate

$ sudo reboot

12-1.Introduction of model data of MobileNet-SSDLite (Raspbian Stretch)

$ mkdir tensorflow;cd tensorflow
$ git clone --recurse-submodules https://github.com/tensorflow/models.git
$ nano ~/.bashrc
export PYTHONPATH=$PYTHONPATH:/home/pi/tensorflow/models/research:/home/pi/tensorflow/models/research/object_detection

$ source ~/.bashrc
$ cd ~/tensorflow/models/research
$ protoc object_detection/protos/*.proto --python_out=.
$ cd ~/tensorflow/models/research/object_detection
$ wget http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz
$ tar -xzvf ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz
$ rm ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz

12-2.Introduction of model data of MobileNet-SSDLite (Ubuntu16.04 x86_64)

$ mkdir tensorflow;cd tensorflow
$ git clone --recurse-submodules https://github.com/tensorflow/models.git
$ nano ~/.bashrc
export PYTHONPATH=$PYTHONPATH:/home/<username>/tensorflow/models/research:/home/<username>/tensorflow/models/research/object_detection

$ source ~/.bashrc
$ cd ~/tensorflow/models/research
$ protoc object_detection/protos/*.proto --python_out=.
$ cd ~/tensorflow/models/research/object_detection
$ wget http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz
$ tar -xzvf ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz
$ rm ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz

13.Reduce the SWAP area to the default size

$ sudo nano /etc/dphys-swapfile
CONF_SWAPSIZE=100

$ sudo /etc/init.d/dphys-swapfile restart;swapon -s

14.Enable OpenGL Driver

$ sudo raspi-config
「7.Advanced Options」-「A7 GL Driver」-「G2 GL (Fake KMS)」 and Activate Raspberry Pi's OpenGL Driver

15.MobileNet-SSD execution

$ cd ~
$ git clone https://github.com/PINTO0309/MobileNet-SSDLite-RealSense-TF.git
$ cd MobileNet-SSDLite-RealSense-TF
$ python3 MobileNetSSDwithRealSenseTF.py

Name		Name	Last commit message	Last commit date
Latest commit History 95 Commits
.github/ISSUE_TEMPLATE		.github/ISSUE_TEMPLATE
media		media
model		model
.gitignore		.gitignore
LICENSE		LICENSE
MobileNetSSDwithRealSenseTF.py		MobileNetSSDwithRealSenseTF.py
README.md		README.md
tfconverter.py		tfconverter.py
visualization_utils.py		visualization_utils.py

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MobileNet-SSDLite-RealSense-TF

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Videos under test by Ubuntu 16.04

By RaspberryPi3 with OpenGL

RaspberryPi environment construction sequence

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MobileNet-SSDLite-RealSense-TF

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Videos under test by Ubuntu 16.04

By RaspberryPi3 with OpenGL

RaspberryPi environment construction sequence

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