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Adds quickstart [(#964)](GoogleCloudPlatform/python-docs-samples#964)
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.. This file is automatically generated. Do not edit this file directly. | ||
Google Cloud Video Intelligence API Python Samples | ||
=============================================================================== | ||
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This directory contains samples for Google Cloud Video Intelligence API. `Google Cloud Video Intelligence API`_ allows developers to easily integrate feature detection in video. | ||
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.. _Google Cloud Video Intelligence API: https://cloud.google.com/video-intelligence/docs | ||
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Setup | ||
------------------------------------------------------------------------------- | ||
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Authentication | ||
++++++++++++++ | ||
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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: | ||
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#. When running locally, use the `Google Cloud SDK`_ | ||
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.. 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`_. | ||
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#. 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: | ||
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.. 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 | ||
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Install Dependencies | ||
++++++++++++++++++++ | ||
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#. Install `pip`_ and `virtualenv`_ if you do not already have them. | ||
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#. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+. | ||
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.. code-block:: bash | ||
$ virtualenv env | ||
$ source env/bin/activate | ||
#. Install the dependencies needed to run the samples. | ||
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.. code-block:: bash | ||
$ pip install -r requirements.txt | ||
.. _pip: https://pip.pypa.io/ | ||
.. _virtualenv: https://virtualenv.pypa.io/ | ||
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Samples | ||
------------------------------------------------------------------------------- | ||
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quickstart | ||
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ | ||
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To run this sample: | ||
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.. code-block:: bash | ||
$ python quickstart.py | ||
The client library | ||
------------------------------------------------------------------------------- | ||
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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`_. | ||
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.. _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 | ||
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.. _Google Cloud SDK: https://cloud.google.com/sdk/ |
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# This file is used to generate README.rst | ||
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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. | ||
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setup: | ||
- auth | ||
- install_deps | ||
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samples: | ||
- name: quickstart | ||
file: quickstart.py | ||
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cloud_client_library: true |
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#!/usr/bin/env python | ||
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# 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. | ||
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"""This application demonstrates label detection using the Google Cloud API. | ||
Usage: | ||
python quickstart.py | ||
""" | ||
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def run_quickstart(): | ||
# [START videointelligence_quickstart] | ||
import sys | ||
import time | ||
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from google.cloud.gapic.videointelligence.v1beta1 import enums | ||
from google.cloud.gapic.videointelligence.v1beta1 import ( | ||
video_intelligence_service_client) | ||
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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:') | ||
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while not operation.done(): | ||
sys.stdout.write('.') | ||
sys.stdout.flush() | ||
time.sleep(15) | ||
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print('\nFinished processing.') | ||
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# first result is retrieved because a single video was processed | ||
results = operation.result().annotation_results[0] | ||
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for label in results.label_annotations: | ||
print('Label description: {}'.format(label.description)) | ||
print('Locations:') | ||
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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)) | ||
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print('\n') | ||
# [END videointelligence_quickstart] | ||
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if __name__ == '__main__': | ||
run_quickstart() |
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#!/usr/bin/env python | ||
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# 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. | ||
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import pytest | ||
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import quickstart | ||
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@pytest.mark.slow | ||
def test_quickstart(capsys): | ||
quickstart.run_quickstart() | ||
out, _ = capsys.readouterr() | ||
assert 'Whiskers' in out |
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google-cloud-videointelligence==0.25.0 |