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173 changes: 173 additions & 0 deletions video/cloud-client/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


Processing video for label annotations:
.
Finished processing.
Label description: Animal
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Cat
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Domestic long-haired cat
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Felidae
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Felinae
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Kitten
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Maine Coon
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Nature
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Pet
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Tabby cat
Locations:
0: Entire video
1: 0.0 to 14.840051


Label description: Whiskers
Locations:
0: Entire video
1: 0.0 to 14.840051






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/
20 changes: 20 additions & 0 deletions video/cloud-client/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
show_help: True
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Typically we don't do this for quickstarts because of side effects.

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Done.


cloud_client_library: true
67 changes: 67 additions & 0 deletions video/cloud-client/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
"""

# [START videointelligence_quickstart]
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import sys
import time

from google.cloud.gapic.videointelligence.v1beta1 import enums
from google.cloud.gapic.videointelligence.v1beta1 import (
video_intelligence_service_client)


def run_quickstart():
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 i, label in enumerate(results.label_annotations):
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don't use enumerate if you don't use the i.

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')


if __name__ == '__main__':
run_quickstart()
# [END videointelligence_quickstart]
26 changes: 26 additions & 0 deletions video/cloud-client/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
1 change: 1 addition & 0 deletions video/cloud-client/quickstart/requirements.txt
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google-cloud-videointelligence==0.25.0