Install OpenVINO™ toolkit for Raspbian* OS

Run this script ./Install_openvino.sh

run this scrip you can install all package or follow the below guide to proceed with the installation.

Download openvino_toolkit_raspbi_p_2019.1.094.tgz - [download]

Open the Terminal* or your preferred console application.

1. Go to the directory in which you downloaded the OpenVINO toolkit. This document assumes this is your ~/Downloads directory. If not, replace

~/Downloads with the directory where the file is located.
cd ~/Downloads/

2. By default, the package file is saved as l_openvino_toolkit_raspbi_p_.tgz.

Create an installation folder.

sudo mkdir -p /opt/intel/openvino

3. Unpack the archive:

sudo tar -xf l_openvino_toolkit_raspbi_p_<version>.tgz --strip 1 -C /opt/intel/openvino

4. Modify the setupvars.sh script by replacing with the absolute path to the installation folder:

sudo sed -i "s|<INSTALLDIR>|/opt/intel/openvino|" /opt/intel/openvino/bin/setupvars.sh

Install External Software Dependencies

CMake* version 3.7.2 or higher is required for building the Inference Engine sample application. To install, open a Terminal* window and run the following command:

sudo apt install cmake

Set the Environment Variables

You must update several environment variables before you can compile and run OpenVINO toolkit applications. Run the following script to temporarily set the environment variables:

source /opt/intel/openvino/bin/setupvars.sh

(Optional) The OpenVINO environment variables are removed when you close the shell. As an option, you can permanently set the environment variables as follows:

echo "source /opt/intel/openvino/bin/setupvars.sh" >> ~/.bashrc

To test your change, open a new terminal. You will see the following:

[setupvars.sh] OpenVINO environment initialized

Continue to the next section to add USB rules for Intel® Movidius™ Neural Compute Stick and Intel® Neural Compute Stick 2 devices.

Add USB Rules

1. Add the current Linux user to the users group:

sudo usermod -a -G users "$(whoami)"

Log out and log in for it to take effect.

2. To perform inference on the Intel® Movidius™ Neural Compute Stick or Intel® Neural Compute Stick 2, install the USB rules running the install_NCS_udev_rules.sh script:

sh /opt/intel/openvino/install_dependencies/install_NCS_udev_rules.sh

You are ready to compile and run the Object Detection sample to verify the Inference Engine installation.

Build and Run Object Detection Sample

Follow the next steps to run pre-trained Face Detection network using Inference Engine samples from the OpenVINO toolkit.

1. Navigate to a directory that you have write access to and create a samples build directory. This example uses a directory named build:

mkdir build && cd build

2. Build the Object Detection Sample:

cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS="-march=armv7-a" /opt/intel/openvino/deployment_tools/inference_engine/samples
make -j2 object_detection_sample_ssd

3. Download the pre-trained Face Detection model or copy it from the host machine:

To download the .bin file with weights:

  wget --no-check-certificate https://download.01.org/opencv/2019/open_model_zoo/R1/models_bin/face-detection-adas-0001/FP16/face-detection-adas-0001.bin

To download the .xml file with the network topology:

  wget --no-check-certificate https://download.01.org/opencv/2019/open_model_zoo/R1/models_bin/face-detection-adas-0001/FP16/face-detection-adas-0001.xml

4. Run the sample with specifying the model and a path to the input image:

./armv7l/Release/object_detection_sample_ssd -m face-detection-adas-0001.xml -d MYRIAD -i <path_to_image>

Run Inference of Face Detection Model Using OpenCV* API

To validate OpenCV* installation, run the OpenCV deep learning module with the Inference Engine backend. Here is a Python* sample, which works with the pre-trained Face Detection model:

1. Download the pre-trained Face Detection model or copy it from a host machine: