forked from s434650/CatOrNot
130 lines
4.4 KiB
Plaintext
130 lines
4.4 KiB
Plaintext
Metadata-Version: 2.1
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Name: google-cloud-vision
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Version: 0.35.1
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Summary: Cloud Vision API API client library
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Home-page: https://github.com/GoogleCloudPlatform/google-cloud-python
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Author: Google LLC
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Author-email: googleapis-packages@google.com
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License: Apache 2.0
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Platform: Posix; MacOS X; Windows
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Operating System :: OS Independent
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Classifier: Topic :: Internet
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Requires-Dist: google-api-core[grpc] (<2.0.0dev,>=1.4.1)
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Requires-Dist: enum34 ; python_version < "3.4"
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Python Client for Google Cloud Vision
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=====================================
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|beta| |pypi| |versions|
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The `Google Cloud Vision`_ API enables developers to
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understand the content of an image by encapsulating powerful machine
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learning models in an easy to use REST API. It quickly classifies images
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into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"),
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detects individual objects and faces within images, and finds and reads
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printed words contained within images. You can build metadata on your
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image catalog, moderate offensive content, or enable new marketing
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scenarios through image sentiment analysis. Analyze images uploaded
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in the request or integrate with your image storage on Google Cloud
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Storage.
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- `Client Library Documentation`_
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- `Product Documentation`_
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.. |beta| image:: https://img.shields.io/badge/support-beta-silver.svg
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:target: https://github.com/googleapis/google-cloud-python/blob/master/README.rst#beta-support
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.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-vision.svg
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:target: https://pypi.org/project/google-cloud-vision/
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.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-vision.svg
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:target: https://pypi.org/project/google-cloud-vision/
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.. _Vision: https://cloud.google.com/vision/
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.. _Google Cloud Vision: https://cloud.google.com/vision/
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.. _Client Library Documentation: https://googlecloudplatform.github.io/google-cloud-python/latest/vision/
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.. _Product Documentation: https://cloud.google.com/vision/reference/rest/
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Quick Start
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-----------
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In order to use this library, you first need to go through the following steps:
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1. `Select or create a Cloud Platform project.`_
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2. `Enable billing for your project.`_
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3. `Enable the Google Cloud Vision API.`_
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4. `Setup Authentication.`_
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.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
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.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
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.. _Enable the Google Cloud Vision API.: https://cloud.google.com/vision
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.. _Setup Authentication.: https://googlecloudplatform.github.io/google-cloud-python/latest/core/auth.html
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Installation
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~~~~~~~~~~~~
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Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to
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create isolated Python environments. The basic problem it addresses is one of
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dependencies and versions, and indirectly permissions.
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With `virtualenv`_, it's possible to install this library without needing system
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install permissions, and without clashing with the installed system
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dependencies.
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.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
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Mac/Linux
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^^^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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source <your-env>/bin/activate
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<your-env>/bin/pip install google-cloud-vision
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Windows
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^^^^^^^
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.. code-block:: console
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pip install virtualenv
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virtualenv <your-env>
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<your-env>\Scripts\activate
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<your-env>\Scripts\pip.exe install google-cloud-vision
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Example Usage
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~~~~~~~~~~~~~
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.. code-block:: python
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from google.cloud import vision
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client = vision.ImageAnnotatorClient()
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response = client.annotate_image({
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'image': {'source': {'image_uri': 'gs://my-test-bucket/image.jpg'}},
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'features': [{'type': vision.enums.Feature.Type.FACE_DETECTION}],
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})
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Next Steps
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~~~~~~~~~~
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- Read the `Client Library Documentation`_ for Google Cloud Vision API
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API to see other available methods on the client.
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- Read the `Product documentation`_ to learn
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more about the product and see How-to Guides.
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