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.

Sign up for GitHub

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

Jump to bottom

Cleaning up docs and fixing typos #2754

Merged
merged 1 commit into from
Nov 29, 2016
Merged

Cleaning up docs and fixing typos #2754

merged 1 commit into from
Nov 29, 2016

Conversation

daspecster
Copy link
Contributor

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
Closed
10 tasks
dhermes
dhermes reviewed Nov 18, 2016
View reviewed changes
docs/vision-usage.rst
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

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst

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

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
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.

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
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

This comment was marked as spam.

Sign in to view

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
: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.

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst

- 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.

This comment was marked as spam.

Sign in to view

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
- 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.

This comment was marked as spam.

Sign in to view

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst

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

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

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
>>> 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)

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
>>> 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)

This comment was marked as spam.

Sign in to view

This comment was marked as spam.

Sign in to view

@daspecster daspecster force-pushed the vision-docs-cleanup branch 2 times, most recently from 91e8880 to c7a2658 Compare November 23, 2016 17:50
@daspecster
Copy link
Contributor Author

Bump, I have a branch for adding image(filename='myfile.jpg') but I would like to get this and #2770 in first if possible.

dhermes
dhermes reviewed Nov 29, 2016
View reviewed changes
docs/vision-usage.rst
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

This comment was marked as spam.

Sign in to view

docs/vision-usage.rst
>>> safe_search = image.detect_safe_search()
>>> safe_search[0].adult
'VERY_UNLIKELY'
>>> safe_search[0].spoof

This comment was marked as spam.

Sign in to view

@daspecster
Copy link
Contributor Author

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
@daspecster
Merge pull request googleapis#2754 from daspecster/vision-docs-cleanup
9224cd9 
Cleaning up docs and fixing typos
parthea pushed a commit that referenced this pull request Oct 21, 2023
@nnegrey @leahecole @busunkim96
automl: video beta move model samples from branch to master [(#2754)](G…
5d605e4 
…oogleCloudPlatform/python-docs-samples#2754)

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

* Fix region tag

Co-authored-by: Leah E. Cole <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@dhermes dhermes dhermes approved these changes

Assignees

@tseaver tseaver

Labels
api: vision Issues related to the Cloud Vision API. cla: yes This human has signed the Contributor License Agreement.
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
4 participants
@daspecster @dhermes @tseaver @googlebot