sudo apt-get install ros-dashing-desktop  #Follow instructions above in the ROS docs if this doesn't work
  

  sudo apt-get install ros-dashing-cv-bridge ros-dashing-object-msgs ros-dashing-image-transport ros-dashing-librealsense2 ros-dashing-realsense-camera-msgs ros-dashing-realsense-ros2-camera
  

  # Build ncsdk
  mkdir ~/code
  cd ~/code
  git clone https://github.com/movidius/ncsdk
  git clone https://github.com/movidius/ncappzoo
  cd ~/code/ncsdk
  make install
  ln -sf ~/code/ncappzoo /opt/movidius/ncappzoo

  # Build ros2_intel_movidius_ncs
  mkdir ~/ros2_ws/src -p
  cd ~/ros2_ws/src
  git clone https://github.com/intel/ros2_intel_movidius_ncs.git
  cd ~/ros2_ws
  source /opt/ros/dashing/setup.bash
  colcon build --symlink-install (Install python3-colcon-common-extensions by apt-get if colcon command not exist)

  # Build CNN model (Please plugin NCS device on the host while compiling)
  cd /opt/movidius/ncappzoo/caffe/SSD_MobileNet
  make

  # Copy object label file to NCSDK installation location.
  cp ~/ros2_ws/src/ros2_intel_movidius_ncs/data/labels/* /opt/movidius/ncappzoo/data/ilsvrc12/

  

  # Build and Install OpenCV3 with Opencv-Contrib
  mkdir ${HOME}/opencv
  cd ${HOME}/opencv
  git clone https://github.com/opencv/opencv.git -b 3.3.0
  git clone https://github.com/opencv/opencv_contrib.git -b 3.3.0
  mkdir opencv/build -p
  cd opencv/build
  cmake -DOPENCV_EXTRA_MODULES_PATH=${HOME}/opencv/opencv_contrib/modules \ 
        -DCMAKE_INSTALL_PREFIX=/usr/local -DBUILD_opencv_cnn_3dobj=OFF ..
  make -j8
  sudo make install
  sudo ldconfig
  

  sudo apt-get install liblz4-dev
  

  sudo apt-get install ros-dashing-object-analytics-msgs ros-dashing-object-analytics-node ros-dashing-object-analytics-rviz
  

  source /opt/ros/dashing/setup.bash
  source ~/ros2_ws/install/local_setup.bash
  echo -e "param_file: mobilenetssd.yaml\ninput_topic: /object_analytics/rgb" > `ros2 pkg prefix movidius_ncs_launch`/share/movidius_ncs_launch/config/default.yaml
  

  source /opt/ros/dashing/setup.bash
  source ~/ros2_ws/install/local_setup.bash
  ros2 launch object_analytics_node object_analytics.launch.py
  

# ros2 run object_analytics_node tracker_regression --options
       options: [-a algorithm] [-p dataset_path] [-t dataset_type] [-n dataset_name] [-h];
       -h : Print this help function.
       -a algorithm_name : Specify the tracking algorithm in the tracker.
          supported algorithms: KCF,TLD,BOOSTING,MEDIAN_FLOW,MIL,GOTURN.
       -p dataset_path : Specify the tracking datasets location.
       -t dataset_type : Specify the dataset type: video,image.
       -n dataset_name : Specify the dataset name #### * Example:

Video dataset with tracking algorithm("MEDIAN_FLOW"):
# ros2 run object_analytics_node tracker_regression -p /your/video/datasets/root/path -t video -n dudek -a MEDIAN_FLOW

Image dataset with default algorithm("MEDIAN_FLOW"):
# ros2 run object_analytics_node tracker_regression -p /your/image/datasets/root/path -t image -n Biker -a MEDIAN_FLOW

 track_vid/    (/your/video/datasets/root/path)
       ├── david
       │   ├── data
       │   │   └── david.webm
       │   ├── david.yml
       │   ├── gt.txt
       │   └── initOmit
       │       └── david.txt
       ├── dudek
       │   ├── data
       │   │   └── dudek.webm
       │   ├── dudek.yml
       │   ├── gt.txt
       │   └── initOmit
       │       └── dudek.txt
       ├── faceocc2
       │   ├── data
       │   │   └── faceocc2.webm
       │   ├── faceocc2.yml
       │   ├── gt.txt
       │   └── initOmit
       │       └── faceocc2.txt
       ├── list.txt (Note: this is manually added, list the dataset names which will be used)
       └── README.md

 track_img/    (/your/video/datasets/root/path)
       ├── Biker
       ├── Bird1
       ├── Bird2
       ├── list.txt (Note: this is manually added, list the dataset names which will be used)
       ├── Man
       ├── Matrix
       └── Woman