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Cleaning up docs and fixing typos #2754

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merged 1 commit into from
Nov 29, 2016

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daspecster
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There will be more for this to come, but I just wanted to get it accurate to the library.

As I add the features back, I will add them to the docs again.

@daspecster daspecster added docs api: vision Issues related to the Cloud Vision API. labels Nov 18, 2016
@googlebot googlebot added the cla: yes This human has signed the Contributor License Agreement. label Nov 18, 2016
@daspecster daspecster mentioned this pull request Nov 18, 2016
10 tasks
Detecting a face or faces in an image.
For a list of the possible facial landmarks
see: https://cloud.google.com/vision/reference/rest/v1/images/annotate#type_1
:meth:`detect_faces()` will search for faces in an image and return the image

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For a list of all possible facial landmark types
see: https://cloud.google.com/vision/reference/rest/v1/images/annotate#type_1

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Image labels are a way to help categorize the contents of an image.
If you have an image with a car, person and a dog it, label detection will
attempt to identify those objects.
:meth:`detect_labels()` will attempt to label objects in an image.

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If you have an image with a car, person and a dog it, label detection will
attempt to identify those objects.
:meth:`detect_labels()` will attempt to label objects in an image.
If you there is a car, person and a dog in the image, label detection will

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:meth:`detect_labels()` will attempt to label objects in an image.
If you there is a car, person and a dog in the image, label detection will
attempt to identify those objects and score the level of certainty from
0.0-1.0.

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- adult: Represents the adult contents likelihood for the image.
- spoof: Spoof likelihood. The likelihood that an obvious modification was made
to the image's canonical version to make it appear funny or offensive.

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- spoof: Spoof likelihood. The likelihood that an obvious modification was made
to the image's canonical version to make it appear funny or offensive.
- medical: Likelihood this is a medical image.
- violence: Violence likelihood.

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Text Detection
~~~~~~~~~~~~~~

Detecting text with ORC from an image.
:meth:`detect_text()` performs OCR to find text in the image.

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>>> from google.cloud import vision
>>> client = vision.Client()
>>> image = client.image(source_uri='gs://my-storage-bucket/image.jpg')
>>> logos = image.detect_logos(limit=10)

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>>> image = client.image(source_uri='gs://my-test-bucket/image.jpg')
>>> features = [Feature(FeatureTypes.FACE_DETECTION, 5),
... Feature(FeatureTypes.LOGO_DETECTION, 3)]
>>> annotations = image.detect(features)

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@daspecster daspecster force-pushed the vision-docs-cleanup branch 2 times, most recently from 91e8880 to c7a2658 Compare November 23, 2016 17:50
@daspecster
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Bump, I have a branch for adding image(filename='myfile.jpg') but I would like to get this and #2770 in first if possible.

Detecting a face or faces in an image.
For a list of the possible facial landmarks
see: https://cloud.google.com/vision/reference/rest/v1/images/annotate#type_1
:meth:`detect_faces` will search for faces in an image and return the

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>>> safe_search = image.detect_safe_search()
>>> safe_search[0].adult
'VERY_UNLIKELY'
>>> safe_search[0].spoof

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@daspecster
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Squashed!

@daspecster daspecster merged commit f0950ca into googleapis:master Nov 29, 2016
@daspecster daspecster deleted the vision-docs-cleanup branch November 29, 2016 21:11
richkadel pushed a commit to richkadel/google-cloud-python that referenced this pull request May 6, 2017
parthea pushed a commit that referenced this pull request Oct 21, 2023
…oogleCloudPlatform/python-docs-samples#2754)

* automl: video beta move model samples from branch to master

* Fix region tag

Co-authored-by: Leah E. Cole <6719667+leahecole@users.noreply.github.com>
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4 participants