GoogleCloudPlatform
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+See https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/AUTHORING_GUIDE.md
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+See https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/CONTRIBUTING.md
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+output-crop.jpg
+output-hint.jpg
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+.. This file is automatically generated. Do not edit this file directly.
+
+Google Cloud Vision API Python Samples
+===============================================================================
+
+.. image:: https://gstatic.com/cloudssh/images/open-btn.png
+   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=vision/cloud-client/crop_hints/README.rst
+
+
+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.
+
+- See the `migration guide`_ for information about migrating to Python client library v0.25.1.
+
+.. _migration guide: https://cloud.google.com/vision/docs/python-client-migration
+
+
+
+
+.. _Google Cloud Vision API: https://cloud.google.com/vision/docs
+
+Setup
+-------------------------------------------------------------------------------
+
+
+Authentication
+++++++++++++++
+
+This sample requires you to have authentication setup. Refer to the
+`Authentication Getting Started Guide`_ for instructions on setting up
+credentials for applications.
+
+.. _Authentication Getting Started Guide:
+    https://cloud.google.com/docs/authentication/getting-started
+
+Install Dependencies
+++++++++++++++++++++
+
+#. Clone python-docs-samples and change directory to the sample directory you want to use.
+
+    .. code-block:: bash
+
+        $ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
+
+#. Install `pip`_ and `virtualenv`_ if you do not already have them. You may want to refer to the `Python Development Environment Setup Guide`_ for Google Cloud Platform for instructions.
+
+   .. _Python Development Environment Setup Guide:
+       https://cloud.google.com/python/setup
+
+#. 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
+-------------------------------------------------------------------------------
+
+Crop Hints Tutorial
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+.. image:: https://gstatic.com/cloudssh/images/open-btn.png
+   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=vision/cloud-client/crop_hints/crop_hints.py,vision/cloud-client/crop_hints/README.rst
+
+
+
+
+To run this sample:
+
+.. code-block:: bash
+
+    $ python crop_hints.py
+
+    usage: crop_hints.py [-h] image_file mode
+
+    positional arguments:
+      image_file  The image you'd like to crop.
+      mode        Set to "crop" or "draw".
+
+    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/
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+# 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.
+
+
+    - See the `migration guide`_ for information about migrating to Python client library v0.25.1.
+
+
+    .. _migration guide: https://cloud.google.com/vision/docs/python-client-migration
+
+setup:
+- auth
+- install_deps
+
+samples:
+- name: Crop Hints Tutorial
+  file: crop_hints.py
+  show_help: True
+
+cloud_client_library: true
+
+folder: vision/cloud-client/crop_hints
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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.
+
+"""Outputs a cropped image or an image highlighting crop regions on an image.
+
+Examples:
+    python crop_hints.py resources/cropme.jpg draw
+    python crop_hints.py resources/cropme.jpg crop
+"""
+# [START vision_crop_hints_tutorial]
+# [START vision_crop_hints_tutorial_imports]
+import argparse
+import io
+
+from google.cloud import vision
+from google.cloud.vision import types
+from PIL import Image, ImageDraw
+# [END vision_crop_hints_tutorial_imports]
+
+
+def get_crop_hint(path):
+    # [START vision_crop_hints_tutorial_get_crop_hints]
+    """Detect crop hints on a single image and return the first result."""
+    client = vision.ImageAnnotatorClient()
+
+    with io.open(path, 'rb') as image_file:
+        content = image_file.read()
+
+    image = types.Image(content=content)
+
+    crop_hints_params = types.CropHintsParams(aspect_ratios=[1.77])
+    image_context = types.ImageContext(crop_hints_params=crop_hints_params)
+
+    response = client.crop_hints(image=image, image_context=image_context)
+    hints = response.crop_hints_annotation.crop_hints
+
+    # Get bounds for the first crop hint using an aspect ratio of 1.77.
+    vertices = hints[0].bounding_poly.vertices
+    # [END vision_crop_hints_tutorial_get_crop_hints]
+
+    return vertices
+
+
+def draw_hint(image_file):
+    """Draw a border around the image using the hints in the vector list."""
+    # [START vision_crop_hints_tutorial_draw_crop_hints]
+    vects = get_crop_hint(image_file)
+
+    im = Image.open(image_file)
+    draw = ImageDraw.Draw(im)
+    draw.polygon([
+        vects[0].x, vects[0].y,
+        vects[1].x, vects[1].y,
+        vects[2].x, vects[2].y,
+        vects[3].x, vects[3].y], None, 'red')
+    im.save('output-hint.jpg', 'JPEG')
+    print('Saved new image to output-hint.jpg')
+    # [END vision_crop_hints_tutorial_draw_crop_hints]
+
+
+def crop_to_hint(image_file):
+    """Crop the image using the hints in the vector list."""
+    # [START vision_crop_hints_tutorial_crop_to_hints]
+    vects = get_crop_hint(image_file)
+
+    im = Image.open(image_file)
+    im2 = im.crop([vects[0].x, vects[0].y,
+                  vects[2].x - 1, vects[2].y - 1])
+    im2.save('output-crop.jpg', 'JPEG')
+    print('Saved new image to output-crop.jpg')
+    # [END vision_crop_hints_tutorial_crop_to_hints]
+
+
+if __name__ == '__main__':
+    # [START vision_crop_hints_tutorial_run_application]
+    parser = argparse.ArgumentParser()
+    parser.add_argument('image_file', help='The image you\'d like to crop.')
+    parser.add_argument('mode', help='Set to "crop" or "draw".')
+    args = parser.parse_args()
+
+    if args.mode == 'crop':
+        crop_to_hint(args.image_file)
+    elif args.mode == 'draw':
+        draw_hint(args.image_file)
+    # [END vision_crop_hints_tutorial_run_application]
+# [END vision_crop_hints_tutorial]
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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.
+
+import os
+
+import crop_hints
+
+
+def test_crop(capsys):
+    """Checks the output image for cropping the image is created."""
+    file_name = os.path.join(
+        os.path.dirname(__file__),
+        'resources/cropme.jpg')
+    crop_hints.crop_to_hint(file_name)
+    out, _ = capsys.readouterr()
+    assert os.path.isfile('output-crop.jpg')
+
+
+def test_draw(capsys):
+    """Checks the output image for drawing the crop hint is created."""
+    file_name = os.path.join(
+        os.path.dirname(__file__),
+        'resources/cropme.jpg')
+    crop_hints.draw_hint(file_name)
+    out, _ = capsys.readouterr()
+    assert os.path.isfile('output-hint.jpg')
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	`1`	`+See https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/AUTHORING_GUIDE.md`