Adds quickstart [(#964)](GoogleCloudPlatform/python-docs-samples#964)

Author: gguuss

packages/google-cloud-videointelligence/samples/quickstart/README.rst

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+.. This file is automatically generated. Do not edit this file directly.
+
+Google Cloud Video Intelligence API Python Samples
+===============================================================================
+
+This directory contains samples for Google Cloud Video Intelligence API. `Google Cloud Video Intelligence API`_ allows developers to easily integrate feature detection in video.
+
+
+
+
+.. _Google Cloud Video Intelligence API: https://cloud.google.com/video-intelligence/docs 
+
+Setup
+-------------------------------------------------------------------------------
+
+
+Authentication
+++++++++++++++
+
+Authentication is typically done through `Application Default Credentials`_,
+which means you do not have to change the code to authenticate as long as
+your environment has credentials. You have a few options for setting up
+authentication:
+
+#. When running locally, use the `Google Cloud SDK`_
+
+    .. code-block:: bash
+
+        gcloud auth application-default login
+
+
+#. When running on App Engine or Compute Engine, credentials are already
+   set-up. However, you may need to configure your Compute Engine instance
+   with `additional scopes`_.
+
+#. You can create a `Service Account key file`_. This file can be used to
+   authenticate to Google Cloud Platform services from any environment. To use
+   the file, set the ``GOOGLE_APPLICATION_CREDENTIALS`` environment variable to
+   the path to the key file, for example:
+
+    .. code-block:: bash
+
+        export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account.json
+
+.. _Application Default Credentials: https://cloud.google.com/docs/authentication#getting_credentials_for_server-centric_flow
+.. _additional scopes: https://cloud.google.com/compute/docs/authentication#using
+.. _Service Account key file: https://developers.google.com/identity/protocols/OAuth2ServiceAccount#creatinganaccount
+
+Install Dependencies
+++++++++++++++++++++
+
+#. Install `pip`_ and `virtualenv`_ if you do not already have them.
+
+#. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
+
+    .. code-block:: bash
+
+        $ virtualenv env
+        $ source env/bin/activate
+
+#. Install the dependencies needed to run the samples.
+
+    .. code-block:: bash
+
+        $ pip install -r requirements.txt
+
+.. _pip: https://pip.pypa.io/
+.. _virtualenv: https://virtualenv.pypa.io/
+
+Samples
+-------------------------------------------------------------------------------
+
+quickstart
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+
+
+To run this sample:
+
+.. code-block:: bash
+
+    $ python quickstart.py
+
+
+
+
+The client library
+-------------------------------------------------------------------------------
+
+This sample uses the `Google Cloud Client Library for Python`_.
+You can read the documentation for more details on API usage and use GitHub
+to `browse the source`_ and  `report issues`_.
+
+.. _Google Cloud Client Library for Python:
+    https://googlecloudplatform.github.io/google-cloud-python/
+.. _browse the source:
+    https://github.com/GoogleCloudPlatform/google-cloud-python
+.. _report issues:
+    https://github.com/GoogleCloudPlatform/google-cloud-python/issues
+
+
+.. _Google Cloud SDK: https://cloud.google.com/sdk/

packages/google-cloud-videointelligence/samples/quickstart/README.rst.in

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+# This file is used to generate README.rst
+
+product:
+  name: Google Cloud Video Intelligence API
+  short_name: Cloud Video Intelligence API
+  url: https://cloud.google.com/video-intelligence/docs
+  description: >
+    `Google Cloud Video Intelligence API`_ allows developers to easily
+    integrate feature detection in video.
+
+setup:
+- auth
+- install_deps
+
+samples:
+- name: quickstart
+  file: quickstart.py
+
+cloud_client_library: true

packages/google-cloud-videointelligence/samples/quickstart/quickstart.py

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+#!/usr/bin/env python
+
+# Copyright 2017 Google Inc. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""This application demonstrates label detection using the Google Cloud API.
+
+Usage:
+    python quickstart.py
+"""
+
+
+def run_quickstart():
+    # [START videointelligence_quickstart]
+    import sys
+    import time
+
+    from google.cloud.gapic.videointelligence.v1beta1 import enums
+    from google.cloud.gapic.videointelligence.v1beta1 import (
+        video_intelligence_service_client)
+
+    video_client = (video_intelligence_service_client.
+                    VideoIntelligenceServiceClient())
+    features = [enums.Feature.LABEL_DETECTION]
+    operation = video_client.annotate_video('gs://demomaker/cat.mp4', features)
+    print('\nProcessing video for label annotations:')
+
+    while not operation.done():
+        sys.stdout.write('.')
+        sys.stdout.flush()
+        time.sleep(15)
+
+    print('\nFinished processing.')
+
+    # first result is retrieved because a single video was processed
+    results = operation.result().annotation_results[0]
+
+    for label in results.label_annotations:
+        print('Label description: {}'.format(label.description))
+        print('Locations:')
+
+        for l, location in enumerate(label.locations):
+            positions = 'Entire video'
+            if (location.segment.start_time_offset != -1 or
+                    location.segment.end_time_offset != -1):
+                positions = '{} to {}'.format(
+                    location.segment.start_time_offset / 1000000.0,
+                    location.segment.end_time_offset / 1000000.0)
+            print('\t{}: {}'.format(l, positions))
+
+        print('\n')
+    # [END videointelligence_quickstart]
+
+
+if __name__ == '__main__':
+    run_quickstart()

packages/google-cloud-videointelligence/samples/quickstart/quickstart_test.py

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+#!/usr/bin/env python
+
+# Copyright 2017 Google, Inc
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+
+import quickstart
+
+
+@pytest.mark.slow
+def test_quickstart(capsys):
+    quickstart.run_quickstart()
+    out, _ = capsys.readouterr()
+    assert 'Whiskers' in out

packages/google-cloud-videointelligence/samples/quickstart/requirements.txt

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+google-cloud-videointelligence==0.25.0