Follow Along!
==============

.. raw:: html

    <div style="background: #C3F8FF" class="admonition note custom">
        <p style="background: light-blue" class="admonition-title">
            Follow along: GoogleNet Example
        </p>
        <div class="line-block">
            <div class="line">The program launching process along with parameter settings are all simplified and set up on the Jupyter Notebook Environment.</div>
        </div>
        <ul>
            <li>Open the googlenet.ipynb jupyter notebook</li>
            <li>Import the necessary libraries</li>
            <li>With the input picture, execute the image recognition</li>
            <li>Terminate the task upon its completion</li>
        </ul>
        <div class="line">(The Jetson Board used for these examples are => Jetson Nano)</div>
    </div>

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    <hr>


-   02_1-1. Detect oranges in images - googlenet.ipynb
-   | Running the cell code
    | `Ctrl + Enter`

.. thumbnail:: /_images/ai_image_recognition/googlenet1.png


-   Import the subprocess module to run the example scripts (i.e. show.sh, kill.sh)

.. code-block:: python

    import subprocess



-   Check the input image

    .. code-block:: python

        # Check the original image
        run_command_before = 'bash ~/ai_example/show.sh orange before'
        subprocess.call((run_command_before.split('\n')), shell=True)


    .. thumbnail:: /_images/ai_image_recognition/googlenet2.png

|

-   After confirming that the Input image is correct, terminate the image window

    .. code-block:: python

        # terminating the process
        kill_command_before = 'bash ~/ai_example/kill.sh display'
        subprocess.call((kill_command_before.split('\n')), shell=True)


-   Guess what the image is!

    .. code-block:: python

        # Detect objects
        detect_command_orange = 'bash ~/ai_example/detect.sh orange_googlenet'
        subprocess.call((detect_command_orange.split('\n')), shell=True)

-   Output the result on the image window

    .. code-block:: python

        # Check the detected image
        run_command_after = 'bash ~/ai_example/show.sh orange after googlenet'
        subprocess.call((run_command_after.split('\n')), shell=True)



    .. thumbnail:: /_images/ai_image_recognition/googlenet3.png

|

-   Terminate the process


    .. code-block:: python

        # terminating the process
        kill_command_after = 'bash ~/ai_example/kill.sh display'
        subprocess.call((kill_command_after.split('\n')), shell=True)