Class: Google::Cloud::Vision::V1::Feature

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/vision/v1/doc/google/cloud/vision/v1/image_annotator.rb

Overview

Users describe the type of Google Cloud Vision API tasks to perform over images by using *Feature*s. Each Feature indicates a type of image detection task to perform. Features encode the Cloud Vision API vertical to operate on and the number of top-scoring results to return.

Defined Under Namespace

Modules: Type

Instance Attribute Summary collapse

Instance Attribute Details

#max_results ⇒ Integer

Returns Maximum number of results of this type.

Returns:

  • (Integer) —

    Maximum number of results of this type.



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# File 'lib/google/cloud/vision/v1/doc/google/cloud/vision/v1/image_annotator.rb', line 29

class Feature
  # Type of image feature.
  module Type
    # Unspecified feature type.
    TYPE_UNSPECIFIED = 0

    # Run face detection.
    FACE_DETECTION = 1

    # Run landmark detection.
    LANDMARK_DETECTION = 2

    # Run logo detection.
    LOGO_DETECTION = 3

    # Run label detection.
    LABEL_DETECTION = 4

    # Run OCR.
    TEXT_DETECTION = 5

    # Run dense text document OCR. Takes precedence when both
    # DOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.
    DOCUMENT_TEXT_DETECTION = 11

    # Run computer vision models to compute image safe-search properties.
    SAFE_SEARCH_DETECTION = 6

    # Compute a set of image properties, such as the image's dominant colors.
    IMAGE_PROPERTIES = 7

    # Run crop hints.
    CROP_HINTS = 9

    # Run web detection.
    WEB_DETECTION = 10
  end
end

#type ⇒ Google::Cloud::Vision::V1::Feature::Type

Returns The feature type.

Returns:



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# File 'lib/google/cloud/vision/v1/doc/google/cloud/vision/v1/image_annotator.rb', line 29

class Feature
  # Type of image feature.
  module Type
    # Unspecified feature type.
    TYPE_UNSPECIFIED = 0

    # Run face detection.
    FACE_DETECTION = 1

    # Run landmark detection.
    LANDMARK_DETECTION = 2

    # Run logo detection.
    LOGO_DETECTION = 3

    # Run label detection.
    LABEL_DETECTION = 4

    # Run OCR.
    TEXT_DETECTION = 5

    # Run dense text document OCR. Takes precedence when both
    # DOCUMENT_TEXT_DETECTION and TEXT_DETECTION are present.
    DOCUMENT_TEXT_DETECTION = 11

    # Run computer vision models to compute image safe-search properties.
    SAFE_SEARCH_DETECTION = 6

    # Compute a set of image properties, such as the image's dominant colors.
    IMAGE_PROPERTIES = 7

    # Run crop hints.
    CROP_HINTS = 9

    # Run web detection.
    WEB_DETECTION = 10
  end
end