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Cleaning up docs and fixing typos - #2754
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| 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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| coordinates of those facial landmarks. | ||
| 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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| ~~~~~~~~~~~~~~ | ||
| 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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91e8880 to
c7a2658Comparedaspecster
commented
Nov 29, 2016
Bump, I have a branch for adding |
| 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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7986a7f to
00ff643Comparedaspecster
commented
Nov 29, 2016
Squashed! |
Cleaning up docs and fixing typos
…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>
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.