Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adds web detection tutorial #874

Merged
merged 2 commits into from
Mar 23, 2017
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
118 changes: 118 additions & 0 deletions vision/cloud-client/web/README.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,118 @@
.. This file is automatically generated. Do not edit this file directly.

Google Cloud Vision API Python Samples
===============================================================================

This directory contains samples for Google Cloud Vision API. `Google Cloud Vision API`_ allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content




.. _Google Cloud Vision API: https://cloud.google.com/vision/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 beta 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
-------------------------------------------------------------------------------

Web
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++



To run this sample:

.. code-block:: bash

$ python web_detect.py

usage: web_detect.py [-h] image_url

Demonstrates web detection using the Google Cloud Vision API.

Example usage:
python web_detect.py https://goo.gl/X4qcB6
python web_detect.py ../detect/resources/landmark.jpg
python web_detect.py gs://your-bucket/image.png

positional arguments:
image_url The image to detect, can be web URI, Google Cloud Storage, or
path to local file.

optional arguments:
-h, --help show this help message and exit




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/
22 changes: 22 additions & 0 deletions vision/cloud-client/web/README.rst.in
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
# This file is used to generate README.rst

product:
name: Google Cloud Vision API
short_name: Cloud Vision API
url: https://cloud.google.com/vision/docs
description: >
`Google Cloud Vision API`_ allows developers to easily integrate vision
detection features within applications, including image labeling, face and
landmark detection, optical character recognition (OCR), and tagging of
explicit content

setup:
- auth
- install_deps

samples:
- name: Web
file: web_detect.py
show_help: True

cloud_client_library: true
1 change: 1 addition & 0 deletions vision/cloud-client/web/requirements.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
google-cloud-vision==0.23.3
100 changes: 100 additions & 0 deletions vision/cloud-client/web/web_detect.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,100 @@
#!/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.

"""Demonstrates web detection using the Google Cloud Vision API.

Example usage:
python web_detect.py https://goo.gl/X4qcB6
python web_detect.py ../detect/resources/landmark.jpg
python web_detect.py gs://your-bucket/image.png
"""
# [START full_tutorial]
# [START imports]
import argparse
import io

from google.cloud import vision
# [END imports]


def annotate(path):
"""Returns web annotations given the path to an image."""
# [START get_annotations]
image = None
vision_client = vision.Client()

if path.startswith('http') or path.startswith('gs:'):
image = vision_client.image(source_uri=path)

else:
with io.open(path, 'rb') as image_file:
content = image_file.read()

image = vision_client.image(content=content)

return image.detect_web()
# [END get_annotations]


def report(annotations):
"""Prints detected features in the provided web annotations."""
# [START print_annotations]
if annotations.pages_with_matching_images:
print('\n{} Pages with matching images retrieved')

for page in annotations.pages_with_matching_images:
print('Score : {}'.format(page.score))
print('Url : {}'.format(page.url))

if annotations.full_matching_images:
print ('\n{} Full Matches found: '.format(
len(annotations.full_matching_images)))

for image in annotations.full_matching_images:
print('Score: {}'.format(image.score))
print('Url : {}'.format(image.url))

if annotations.partial_matching_images:
print ('\n{} Partial Matches found: '.format(
len(annotations.partial_matching_images)))

for image in annotations.partial_matching_images:
print('Score: {}'.format(image.score))
print('Url : {}'.format(image.url))

if annotations.web_entities:
print ('\n{} Web entities found: '.format(
len(annotations.web_entities)))

for entity in annotations.web_entities:
print('Score : {}'.format(entity.score))
print('Description: {}'.format(entity.description))
# [END print_annotations]


if __name__ == '__main__':
# [START run_web]
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
path_help = str('The image to detect, can be web URI, '
'Google Cloud Storage, or path to local file.')
parser.add_argument('image_url', help=path_help)
args = parser.parse_args()

report(annotate(args.image_url))
# [END run_web]
# [END full_tutorial]
36 changes: 36 additions & 0 deletions vision/cloud-client/web/web_detect_test.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
# 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.

import web_detect


def test_detect_file(cloud_config, capsys):
file_name = ('../detect/resources/landmark.jpg')
web_detect.report(web_detect.annotate(file_name))
out, _ = capsys.readouterr()
assert 'Description: Palace of Fine Arts Theatre' in out


def test_detect_web_gsuri(cloud_config, capsys):
file_name = ('gs://{}/vision/landmark.jpg'.format(
cloud_config.storage_bucket))
web_detect.report(web_detect.annotate(file_name))
out, _ = capsys.readouterr()
assert 'Description: Palace of Fine Arts Theatre' in out


def test_detect_web_http(cloud_config, capsys):
web_detect.report(web_detect.annotate('https://goo.gl/X4qcB6'))
out, _ = capsys.readouterr()
assert 'https://cloud.google.com/vision/' in out