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openvino/docs/install_guides/configurations-for-ncs2.md
Artyom Anokhov e52e6e6547 Updated instructions for Linux* with setup udev usb rules for NCS2 (#15115)
* configurations-for-ncs2: Updated instructions for Linux* with setup 97-myriad-usbboot.rules

* removed install_NCS_udev_rules script.

configurations-for-ncs2: Updated doc after review

* Removed installation on NCS2 script

* install_NCS_udev_rules: return script back

* install_NCS_udev_rules: Added executive permission

* install_NCS_udev_rules: Added newline to the end of file

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Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
2023-01-31 14:39:51 +01:00

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Configurations for Intel® Neural Compute Stick 2

@sphinxdirective

.. _ncs guide:

@endsphinxdirective

Linux

Once you have OpenVINO™ Runtime installed, follow these steps to be able to work on NCS2:

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

    sudo usermod -a -G users "$(whoami)"
    
  2. Go to the install_dependencies directory:

    cd <INSTALL_DIR>/install_dependencies/
    
  3. Copy the 97-myriad-usbboot.rules file to the udev rules directory:

    sudo cp 97-myriad-usbboot.rules /etc/udev/rules.d/
    
  4. Now reload udev rules with rules that you copied

    sudo udevadm control --reload-rules
    sudo udevadm trigger
    sudo ldconfig
    
  5. You may need to reboot your machine for this to take effect.

You've completed all required configuration steps to perform inference on Intel® Neural Compute Stick 2.

.. _ncs guide macos:

@endsphinxdirective

macOS

These steps are required only if you want to perform inference on Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X VPU.

To perform inference on Intel® Neural Compute Stick 2, the libusb library is required. You can build it from the source code or install using the macOS package manager you prefer: Homebrew, MacPorts or other.

For example, to install the libusb library using Homebrew, use the following command:

brew install libusb

You've completed all required configuration steps to perform inference on your Intel® Neural Compute Stick 2.

Whats Next?

Now you are ready to try out OpenVINO™. You can use the following tutorials to write your applications using Python and C++.

Developing in Python:

Developing in C++:

  • [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)
  • [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
  • [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)