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google-api-ruby-client/generated/google/apis/videointelligence_v1/classes.rb

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# Copyright 2015 Google Inc.
#
# 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.
require 'date'
require 'google/apis/core/base_service'
require 'google/apis/core/json_representation'
require 'google/apis/core/hashable'
require 'google/apis/errors'
module Google
module Apis
module VideointelligenceV1
# Video annotation progress. Included in the `metadata` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1AnnotateVideoProgress
include Google::Apis::Core::Hashable
# Progress metadata for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationProgress`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoAnnotationProgress>]
attr_accessor :annotation_progress
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_progress = args[:annotation_progress] if args.key?(:annotation_progress)
end
end
# Video annotation request.
class GoogleCloudVideointelligenceV1AnnotateVideoRequest
include Google::Apis::Core::Hashable
# Required. Requested video annotation features.
# Corresponds to the JSON property `features`
# @return [Array<String>]
attr_accessor :features
# The video data bytes. If unset, the input video(s) should be specified via the
# `input_uri`. If set, `input_uri` must be unset.
# Corresponds to the JSON property `inputContent`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :input_content
# Input video location. Currently, only [Cloud Storage](https://cloud.google.com/
# storage/) URIs are supported. URIs must be specified in the following format: `
# gs://bucket-id/object-id` (other URI formats return google.rpc.Code.
# INVALID_ARGUMENT). For more information, see [Request URIs](https://cloud.
# google.com/storage/docs/request-endpoints). To identify multiple videos, a
# video URI may include wildcards in the `object-id`. Supported wildcards: '*'
# to match 0 or more characters; '?' to match 1 character. If unset, the input
# video should be embedded in the request as `input_content`. If set, `
# input_content` must be unset.
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Optional. Cloud region where annotation should take place. Supported cloud
# regions are: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no
# region is specified, the region will be determined based on video file
# location.
# Corresponds to the JSON property `locationId`
# @return [String]
attr_accessor :location_id
# Optional. Location where the output (in JSON format) should be stored.
# Currently, only [Cloud Storage](https://cloud.google.com/storage/) URIs are
# supported. These must be specified in the following format: `gs://bucket-id/
# object-id` (other URI formats return google.rpc.Code.INVALID_ARGUMENT). For
# more information, see [Request URIs](https://cloud.google.com/storage/docs/
# request-endpoints).
# Corresponds to the JSON property `outputUri`
# @return [String]
attr_accessor :output_uri
# Video context and/or feature-specific parameters.
# Corresponds to the JSON property `videoContext`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoContext]
attr_accessor :video_context
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@features = args[:features] if args.key?(:features)
@input_content = args[:input_content] if args.key?(:input_content)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@location_id = args[:location_id] if args.key?(:location_id)
@output_uri = args[:output_uri] if args.key?(:output_uri)
@video_context = args[:video_context] if args.key?(:video_context)
end
end
# Video annotation response. Included in the `response` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1AnnotateVideoResponse
include Google::Apis::Core::Hashable
# Annotation results for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationResults`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoAnnotationResults>]
attr_accessor :annotation_results
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_results = args[:annotation_results] if args.key?(:annotation_results)
end
end
# A generic detected attribute represented by name in string format.
class GoogleCloudVideointelligenceV1DetectedAttribute
include Google::Apis::Core::Hashable
# Detected attribute confidence. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of the attribute, for example, glasses, dark_glasses, mouth_open. A
# full list of supported type names will be provided in the document.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Text value of the detection result. For example, the value for "HairColor" can
# be "black", "blonde", etc.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@value = args[:value] if args.key?(:value)
end
end
# A generic detected landmark represented by name in string format and a 2D
# location.
class GoogleCloudVideointelligenceV1DetectedLandmark
include Google::Apis::Core::Hashable
# The confidence score of the detected landmark. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of this landmark, for example, left_hand, right_shoulder.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
# Corresponds to the JSON property `point`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1NormalizedVertex]
attr_accessor :point
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@point = args[:point] if args.key?(:point)
end
end
# Detected entity from video analysis.
class GoogleCloudVideointelligenceV1Entity
include Google::Apis::Core::Hashable
# Textual description, e.g., `Fixed-gear bicycle`.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
# API](https://developers.google.com/knowledge-graph/).
# Corresponds to the JSON property `entityId`
# @return [String]
attr_accessor :entity_id
# Language code for `description` in BCP-47 format.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@entity_id = args[:entity_id] if args.key?(:entity_id)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
class GoogleCloudVideointelligenceV1ExplicitContentAnnotation
include Google::Apis::Core::Hashable
# All video frames where explicit content was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ExplicitContentFrame>]
attr_accessor :frames
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@version = args[:version] if args.key?(:version)
end
end
# Config for EXPLICIT_CONTENT_DETECTION.
class GoogleCloudVideointelligenceV1ExplicitContentDetectionConfig
include Google::Apis::Core::Hashable
# Model to use for explicit content detection. Supported values: "builtin/stable"
# (the default if unset) and "builtin/latest".
# Corresponds to the JSON property `model`
# @return [String]
attr_accessor :model
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@model = args[:model] if args.key?(:model)
end
end
# Video frame level annotation results for explicit content.
class GoogleCloudVideointelligenceV1ExplicitContentFrame
include Google::Apis::Core::Hashable
# Likelihood of the pornography content..
# Corresponds to the JSON property `pornographyLikelihood`
# @return [String]
attr_accessor :pornography_likelihood
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@pornography_likelihood = args[:pornography_likelihood] if args.key?(:pornography_likelihood)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1FaceAnnotation
include Google::Apis::Core::Hashable
# All video frames where a face was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1FaceFrame>]
attr_accessor :frames
# All video segments where a face was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1FaceSegment>]
attr_accessor :segments
# Thumbnail of a representative face view (in JPEG format).
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
end
end
# Face detection annotation.
class GoogleCloudVideointelligenceV1FaceDetectionAnnotation
include Google::Apis::Core::Hashable
# The thumbnail of a person's face.
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
# The face tracks with attributes.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Config for FACE_DETECTION.
class GoogleCloudVideointelligenceV1FaceDetectionConfig
include Google::Apis::Core::Hashable
# Whether to enable face attributes detection, such as glasses, dark_glasses,
# mouth_open etc. Ignored if 'include_bounding_boxes' is set to false.
# Corresponds to the JSON property `includeAttributes`
# @return [Boolean]
attr_accessor :include_attributes
alias_method :include_attributes?, :include_attributes
# Whether bounding boxes are included in the face annotation output.
# Corresponds to the JSON property `includeBoundingBoxes`
# @return [Boolean]
attr_accessor :include_bounding_boxes
alias_method :include_bounding_boxes?, :include_bounding_boxes
# Model to use for face detection. Supported values: "builtin/stable" (the
# default if unset) and "builtin/latest".
# Corresponds to the JSON property `model`
# @return [String]
attr_accessor :model
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@include_attributes = args[:include_attributes] if args.key?(:include_attributes)
@include_bounding_boxes = args[:include_bounding_boxes] if args.key?(:include_bounding_boxes)
@model = args[:model] if args.key?(:model)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1FaceFrame
include Google::Apis::Core::Hashable
# Normalized Bounding boxes in a frame. There can be more than one boxes if the
# same face is detected in multiple locations within the current frame.
# Corresponds to the JSON property `normalizedBoundingBoxes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1NormalizedBoundingBox>]
attr_accessor :normalized_bounding_boxes
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_boxes = args[:normalized_bounding_boxes] if args.key?(:normalized_bounding_boxes)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for face detection.
class GoogleCloudVideointelligenceV1FaceSegment
include Google::Apis::Core::Hashable
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segment = args[:segment] if args.key?(:segment)
end
end
# Label annotation.
class GoogleCloudVideointelligenceV1LabelAnnotation
include Google::Apis::Core::Hashable
# Common categories for the detected entity. For example, when the label is `
# Terrier`, the category is likely `dog`. And in some cases there might be more
# than one categories e.g., `Terrier` could also be a `pet`.
# Corresponds to the JSON property `categoryEntities`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Entity>]
attr_accessor :category_entities
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Entity]
attr_accessor :entity
# All video frames where a label was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelFrame>]
attr_accessor :frames
# All video segments where a label was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelSegment>]
attr_accessor :segments
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category_entities = args[:category_entities] if args.key?(:category_entities)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@version = args[:version] if args.key?(:version)
end
end
# Config for LABEL_DETECTION.
class GoogleCloudVideointelligenceV1LabelDetectionConfig
include Google::Apis::Core::Hashable
# The confidence threshold we perform filtering on the labels from frame-level
# detection. If not set, it is set to 0.4 by default. The valid range for this
# threshold is [0.1, 0.9]. Any value set outside of this range will be clipped.
# Note: For best results, follow the default threshold. We will update the
# default threshold everytime when we release a new model.
# Corresponds to the JSON property `frameConfidenceThreshold`
# @return [Float]
attr_accessor :frame_confidence_threshold
# What labels should be detected with LABEL_DETECTION, in addition to video-
# level labels or segment-level labels. If unspecified, defaults to `SHOT_MODE`.
# Corresponds to the JSON property `labelDetectionMode`
# @return [String]
attr_accessor :label_detection_mode
# Model to use for label detection. Supported values: "builtin/stable" (the
# default if unset) and "builtin/latest".
# Corresponds to the JSON property `model`
# @return [String]
attr_accessor :model
# Whether the video has been shot from a stationary (i.e., non-moving) camera.
# When set to true, might improve detection accuracy for moving objects. Should
# be used with `SHOT_AND_FRAME_MODE` enabled.
# Corresponds to the JSON property `stationaryCamera`
# @return [Boolean]
attr_accessor :stationary_camera
alias_method :stationary_camera?, :stationary_camera
# The confidence threshold we perform filtering on the labels from video-level
# and shot-level detections. If not set, it's set to 0.3 by default. The valid
# range for this threshold is [0.1, 0.9]. Any value set outside of this range
# will be clipped. Note: For best results, follow the default threshold. We will
# update the default threshold everytime when we release a new model.
# Corresponds to the JSON property `videoConfidenceThreshold`
# @return [Float]
attr_accessor :video_confidence_threshold
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frame_confidence_threshold = args[:frame_confidence_threshold] if args.key?(:frame_confidence_threshold)
@label_detection_mode = args[:label_detection_mode] if args.key?(:label_detection_mode)
@model = args[:model] if args.key?(:model)
@stationary_camera = args[:stationary_camera] if args.key?(:stationary_camera)
@video_confidence_threshold = args[:video_confidence_threshold] if args.key?(:video_confidence_threshold)
end
end
# Video frame level annotation results for label detection.
class GoogleCloudVideointelligenceV1LabelFrame
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for label detection.
class GoogleCloudVideointelligenceV1LabelSegment
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
end
end
# Annotation corresponding to one detected, tracked and recognized logo class.
class GoogleCloudVideointelligenceV1LogoRecognitionAnnotation
include Google::Apis::Core::Hashable
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Entity]
attr_accessor :entity
# All video segments where the recognized logo appears. There might be multiple
# instances of the same logo class appearing in one VideoSegment.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment>]
attr_accessor :segments
# All logo tracks where the recognized logo appears. Each track corresponds to
# one logo instance appearing in consecutive frames.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Track>]
attr_accessor :tracks
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@entity = args[:entity] if args.key?(:entity)
@segments = args[:segments] if args.key?(:segments)
@tracks = args[:tracks] if args.key?(:tracks)
end
end
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
class GoogleCloudVideointelligenceV1NormalizedBoundingBox
include Google::Apis::Core::Hashable
# Bottom Y coordinate.
# Corresponds to the JSON property `bottom`
# @return [Float]
attr_accessor :bottom
# Left X coordinate.
# Corresponds to the JSON property `left`
# @return [Float]
attr_accessor :left
# Right X coordinate.
# Corresponds to the JSON property `right`
# @return [Float]
attr_accessor :right
# Top Y coordinate.
# Corresponds to the JSON property `top`
# @return [Float]
attr_accessor :top
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bottom = args[:bottom] if args.key?(:bottom)
@left = args[:left] if args.key?(:left)
@right = args[:right] if args.key?(:right)
@top = args[:top] if args.key?(:top)
end
end
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
class GoogleCloudVideointelligenceV1NormalizedBoundingPoly
include Google::Apis::Core::Hashable
# Normalized vertices of the bounding polygon.
# Corresponds to the JSON property `vertices`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1NormalizedVertex>]
attr_accessor :vertices
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@vertices = args[:vertices] if args.key?(:vertices)
end
end
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVideointelligenceV1NormalizedVertex
include Google::Apis::Core::Hashable
# X coordinate.
# Corresponds to the JSON property `x`
# @return [Float]
attr_accessor :x
# Y coordinate.
# Corresponds to the JSON property `y`
# @return [Float]
attr_accessor :y
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@x = args[:x] if args.key?(:x)
@y = args[:y] if args.key?(:y)
end
end
# Annotations corresponding to one tracked object.
class GoogleCloudVideointelligenceV1ObjectTrackingAnnotation
include Google::Apis::Core::Hashable
# Object category's labeling confidence of this track.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Entity]
attr_accessor :entity
# Information corresponding to all frames where this object track appears. Non-
# streaming batch mode: it may be one or multiple ObjectTrackingFrame messages
# in frames. Streaming mode: it can only be one ObjectTrackingFrame message in
# frames.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ObjectTrackingFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
# Streaming mode ONLY. In streaming mode, we do not know the end time of a
# tracked object before it is completed. Hence, there is no VideoSegment info
# returned. Instead, we provide a unique identifiable integer track_id so that
# the customers can correlate the results of the ongoing ObjectTrackAnnotation
# of the same track_id over time.
# Corresponds to the JSON property `trackId`
# @return [Fixnum]
attr_accessor :track_id
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
@track_id = args[:track_id] if args.key?(:track_id)
@version = args[:version] if args.key?(:version)
end
end
# Config for OBJECT_TRACKING.
class GoogleCloudVideointelligenceV1ObjectTrackingConfig
include Google::Apis::Core::Hashable
# Model to use for object tracking. Supported values: "builtin/stable" (the
# default if unset) and "builtin/latest".
# Corresponds to the JSON property `model`
# @return [String]
attr_accessor :model
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@model = args[:model] if args.key?(:model)
end
end
# Video frame level annotations for object detection and tracking. This field
# stores per frame location, time offset, and confidence.
class GoogleCloudVideointelligenceV1ObjectTrackingFrame
include Google::Apis::Core::Hashable
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# The timestamp of the frame in microseconds.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Person detection annotation per video.
class GoogleCloudVideointelligenceV1PersonDetectionAnnotation
include Google::Apis::Core::Hashable
# The detected tracks of a person.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Config for PERSON_DETECTION.
class GoogleCloudVideointelligenceV1PersonDetectionConfig
include Google::Apis::Core::Hashable
# Whether to enable person attributes detection, such as cloth color (black,
# blue, etc), type (coat, dress, etc), pattern (plain, floral, etc), hair, etc.
# Ignored if 'include_bounding_boxes' is set to false.
# Corresponds to the JSON property `includeAttributes`
# @return [Boolean]
attr_accessor :include_attributes
alias_method :include_attributes?, :include_attributes
# Whether bounding boxes are included in the person detection annotation output.
# Corresponds to the JSON property `includeBoundingBoxes`
# @return [Boolean]
attr_accessor :include_bounding_boxes
alias_method :include_bounding_boxes?, :include_bounding_boxes
# Whether to enable pose landmarks detection. Ignored if 'include_bounding_boxes'
# is set to false.
# Corresponds to the JSON property `includePoseLandmarks`
# @return [Boolean]
attr_accessor :include_pose_landmarks
alias_method :include_pose_landmarks?, :include_pose_landmarks
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@include_attributes = args[:include_attributes] if args.key?(:include_attributes)
@include_bounding_boxes = args[:include_bounding_boxes] if args.key?(:include_bounding_boxes)
@include_pose_landmarks = args[:include_pose_landmarks] if args.key?(:include_pose_landmarks)
end
end
# Config for SHOT_CHANGE_DETECTION.
class GoogleCloudVideointelligenceV1ShotChangeDetectionConfig
include Google::Apis::Core::Hashable
# Model to use for shot change detection. Supported values: "builtin/stable" (
# the default if unset) and "builtin/latest".
# Corresponds to the JSON property `model`
# @return [String]
attr_accessor :model
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@model = args[:model] if args.key?(:model)
end
end
# Provides "hints" to the speech recognizer to favor specific words and phrases
# in the results.
class GoogleCloudVideointelligenceV1SpeechContext
include Google::Apis::Core::Hashable
# Optional. A list of strings containing words and phrases "hints" so that the
# speech recognition is more likely to recognize them. This can be used to
# improve the accuracy for specific words and phrases, for example, if specific
# commands are typically spoken by the user. This can also be used to add
# additional words to the vocabulary of the recognizer. See [usage limits](https:
# //cloud.google.com/speech/limits#content).
# Corresponds to the JSON property `phrases`
# @return [Array<String>]
attr_accessor :phrases
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@phrases = args[:phrases] if args.key?(:phrases)
end
end
# Alternative hypotheses (a.k.a. n-best list).
class GoogleCloudVideointelligenceV1SpeechRecognitionAlternative
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Transcript text representing the words that the user spoke.
# Corresponds to the JSON property `transcript`
# @return [String]
attr_accessor :transcript
# Output only. A list of word-specific information for each recognized word.
# Note: When `enable_speaker_diarization` is set to true, you will see all the
# words from the beginning of the audio.
# Corresponds to the JSON property `words`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1WordInfo>]
attr_accessor :words
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@transcript = args[:transcript] if args.key?(:transcript)
@words = args[:words] if args.key?(:words)
end
end
# A speech recognition result corresponding to a portion of the audio.
class GoogleCloudVideointelligenceV1SpeechTranscription
include Google::Apis::Core::Hashable
# May contain one or more recognition hypotheses (up to the maximum specified in
# `max_alternatives`). These alternatives are ordered in terms of accuracy, with
# the top (first) alternative being the most probable, as ranked by the
# recognizer.
# Corresponds to the JSON property `alternatives`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1SpeechRecognitionAlternative>]
attr_accessor :alternatives
# Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
# language tag of the language in this result. This language code was detected
# to have the most likelihood of being spoken in the audio.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@alternatives = args[:alternatives] if args.key?(:alternatives)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Config for SPEECH_TRANSCRIPTION.
class GoogleCloudVideointelligenceV1SpeechTranscriptionConfig
include Google::Apis::Core::Hashable
# Optional. For file formats, such as MXF or MKV, supporting multiple audio
# tracks, specify up to two tracks. Default: track 0.
# Corresponds to the JSON property `audioTracks`
# @return [Array<Fixnum>]
attr_accessor :audio_tracks
# Optional. If set, specifies the estimated number of speakers in the
# conversation. If not set, defaults to '2'. Ignored unless
# enable_speaker_diarization is set to true.
# Corresponds to the JSON property `diarizationSpeakerCount`
# @return [Fixnum]
attr_accessor :diarization_speaker_count
# Optional. If 'true', adds punctuation to recognition result hypotheses. This
# feature is only available in select languages. Setting this for requests in
# other languages has no effect at all. The default 'false' value does not add
# punctuation to result hypotheses. NOTE: "This is currently offered as an
# experimental service, complimentary to all users. In the future this may be
# exclusively available as a premium feature."
# Corresponds to the JSON property `enableAutomaticPunctuation`
# @return [Boolean]
attr_accessor :enable_automatic_punctuation
alias_method :enable_automatic_punctuation?, :enable_automatic_punctuation
# Optional. If 'true', enables speaker detection for each recognized word in the
# top alternative of the recognition result using a speaker_tag provided in the
# WordInfo. Note: When this is true, we send all the words from the beginning of
# the audio for the top alternative in every consecutive response. This is done
# in order to improve our speaker tags as our models learn to identify the
# speakers in the conversation over time.
# Corresponds to the JSON property `enableSpeakerDiarization`
# @return [Boolean]
attr_accessor :enable_speaker_diarization
alias_method :enable_speaker_diarization?, :enable_speaker_diarization
# Optional. If `true`, the top result includes a list of words and the
# confidence for those words. If `false`, no word-level confidence information
# is returned. The default is `false`.
# Corresponds to the JSON property `enableWordConfidence`
# @return [Boolean]
attr_accessor :enable_word_confidence
alias_method :enable_word_confidence?, :enable_word_confidence
# Optional. If set to `true`, the server will attempt to filter out profanities,
# replacing all but the initial character in each filtered word with asterisks,
# e.g. "f***". If set to `false` or omitted, profanities won't be filtered out.
# Corresponds to the JSON property `filterProfanity`
# @return [Boolean]
attr_accessor :filter_profanity
alias_method :filter_profanity?, :filter_profanity
# Required. *Required* The language of the supplied audio as a [BCP-47](https://
# www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". See [
# Language Support](https://cloud.google.com/speech/docs/languages) for a list
# of the currently supported language codes.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
# Optional. Maximum number of recognition hypotheses to be returned.
# Specifically, the maximum number of `SpeechRecognitionAlternative` messages
# within each `SpeechTranscription`. The server may return fewer than `
# max_alternatives`. Valid values are `0`-`30`. A value of `0` or `1` will
# return a maximum of one. If omitted, will return a maximum of one.
# Corresponds to the JSON property `maxAlternatives`
# @return [Fixnum]
attr_accessor :max_alternatives
# Optional. A means to provide context to assist the speech recognition.
# Corresponds to the JSON property `speechContexts`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1SpeechContext>]
attr_accessor :speech_contexts
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@audio_tracks = args[:audio_tracks] if args.key?(:audio_tracks)
@diarization_speaker_count = args[:diarization_speaker_count] if args.key?(:diarization_speaker_count)
@enable_automatic_punctuation = args[:enable_automatic_punctuation] if args.key?(:enable_automatic_punctuation)
@enable_speaker_diarization = args[:enable_speaker_diarization] if args.key?(:enable_speaker_diarization)
@enable_word_confidence = args[:enable_word_confidence] if args.key?(:enable_word_confidence)
@filter_profanity = args[:filter_profanity] if args.key?(:filter_profanity)
@language_code = args[:language_code] if args.key?(:language_code)
@max_alternatives = args[:max_alternatives] if args.key?(:max_alternatives)
@speech_contexts = args[:speech_contexts] if args.key?(:speech_contexts)
end
end
# Annotations related to one detected OCR text snippet. This will contain the
# corresponding text, confidence value, and frame level information for each
# detection.
class GoogleCloudVideointelligenceV1TextAnnotation
include Google::Apis::Core::Hashable
# All video segments where OCR detected text appears.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1TextSegment>]
attr_accessor :segments
# The detected text.
# Corresponds to the JSON property `text`
# @return [String]
attr_accessor :text
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segments = args[:segments] if args.key?(:segments)
@text = args[:text] if args.key?(:text)
@version = args[:version] if args.key?(:version)
end
end
# Config for TEXT_DETECTION.
class GoogleCloudVideointelligenceV1TextDetectionConfig
include Google::Apis::Core::Hashable
# Language hint can be specified if the language to be detected is known a
# priori. It can increase the accuracy of the detection. Language hint must be
# language code in BCP-47 format. Automatic language detection is performed if
# no hint is provided.
# Corresponds to the JSON property `languageHints`
# @return [Array<String>]
attr_accessor :language_hints
# Model to use for text detection. Supported values: "builtin/stable" (the
# default if unset) and "builtin/latest".
# Corresponds to the JSON property `model`
# @return [String]
attr_accessor :model
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@language_hints = args[:language_hints] if args.key?(:language_hints)
@model = args[:model] if args.key?(:model)
end
end
# Video frame level annotation results for text annotation (OCR). Contains
# information regarding timestamp and bounding box locations for the frames
# containing detected OCR text snippets.
class GoogleCloudVideointelligenceV1TextFrame
include Google::Apis::Core::Hashable
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
# Corresponds to the JSON property `rotatedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1NormalizedBoundingPoly]
attr_accessor :rotated_bounding_box
# Timestamp of this frame.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@rotated_bounding_box = args[:rotated_bounding_box] if args.key?(:rotated_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for text detection.
class GoogleCloudVideointelligenceV1TextSegment
include Google::Apis::Core::Hashable
# Confidence for the track of detected text. It is calculated as the highest
# over all frames where OCR detected text appears.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Information related to the frames where OCR detected text appears.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1TextFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
end
end
# For tracking related features. An object at time_offset with attributes, and
# located with normalized_bounding_box.
class GoogleCloudVideointelligenceV1TimestampedObject
include Google::Apis::Core::Hashable
# Optional. The attributes of the object in the bounding box.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1DetectedAttribute>]
attr_accessor :attributes
# Optional. The detected landmarks.
# Corresponds to the JSON property `landmarks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1DetectedLandmark>]
attr_accessor :landmarks
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this object.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@landmarks = args[:landmarks] if args.key?(:landmarks)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# A track of an object instance.
class GoogleCloudVideointelligenceV1Track
include Google::Apis::Core::Hashable
# Optional. Attributes in the track level.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1DetectedAttribute>]
attr_accessor :attributes
# Optional. The confidence score of the tracked object.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
# The object with timestamp and attributes per frame in the track.
# Corresponds to the JSON property `timestampedObjects`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1TimestampedObject>]
attr_accessor :timestamped_objects
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
@timestamped_objects = args[:timestamped_objects] if args.key?(:timestamped_objects)
end
end
# Annotation progress for a single video.
class GoogleCloudVideointelligenceV1VideoAnnotationProgress
include Google::Apis::Core::Hashable
# Specifies which feature is being tracked if the request contains more than one
# feature.
# Corresponds to the JSON property `feature`
# @return [String]
attr_accessor :feature
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Approximate percentage processed thus far. Guaranteed to be 100 when fully
# processed.
# Corresponds to the JSON property `progressPercent`
# @return [Fixnum]
attr_accessor :progress_percent
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
# Time when the request was received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# Time of the most recent update.
# Corresponds to the JSON property `updateTime`
# @return [String]
attr_accessor :update_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@feature = args[:feature] if args.key?(:feature)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@progress_percent = args[:progress_percent] if args.key?(:progress_percent)
@segment = args[:segment] if args.key?(:segment)
@start_time = args[:start_time] if args.key?(:start_time)
@update_time = args[:update_time] if args.key?(:update_time)
end
end
# Annotation results for a single video.
class GoogleCloudVideointelligenceV1VideoAnnotationResults
include Google::Apis::Core::Hashable
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
# Corresponds to the JSON property `explicitAnnotation`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ExplicitContentAnnotation]
attr_accessor :explicit_annotation
# Deprecated. Please use `face_detection_annotations` instead.
# Corresponds to the JSON property `faceAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1FaceAnnotation>]
attr_accessor :face_annotations
# Face detection annotations.
# Corresponds to the JSON property `faceDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1FaceDetectionAnnotation>]
attr_accessor :face_detection_annotations
# Label annotations on frame level. There is exactly one element for each unique
# label.
# Corresponds to the JSON property `frameLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelAnnotation>]
attr_accessor :frame_label_annotations
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Annotations for list of logos detected, tracked and recognized in video.
# Corresponds to the JSON property `logoRecognitionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LogoRecognitionAnnotation>]
attr_accessor :logo_recognition_annotations
# Annotations for list of objects detected and tracked in video.
# Corresponds to the JSON property `objectAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ObjectTrackingAnnotation>]
attr_accessor :object_annotations
# Person detection annotations.
# Corresponds to the JSON property `personDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1PersonDetectionAnnotation>]
attr_accessor :person_detection_annotations
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment]
attr_accessor :segment
# Topical label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label.
# Corresponds to the JSON property `segmentLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelAnnotation>]
attr_accessor :segment_label_annotations
# Presence label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label. Compared to the existing
# topical `segment_label_annotations`, this field presents more fine-grained,
# segment-level labels detected in video content and is made available only when
# the client sets `LabelDetectionConfig.model` to "builtin/latest" in the
# request.
# Corresponds to the JSON property `segmentPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelAnnotation>]
attr_accessor :segment_presence_label_annotations
# Shot annotations. Each shot is represented as a video segment.
# Corresponds to the JSON property `shotAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment>]
attr_accessor :shot_annotations
# Topical label annotations on shot level. There is exactly one element for each
# unique label.
# Corresponds to the JSON property `shotLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelAnnotation>]
attr_accessor :shot_label_annotations
# Presence label annotations on shot level. There is exactly one element for
# each unique label. Compared to the existing topical `shot_label_annotations`,
# this field presents more fine-grained, shot-level labels detected in video
# content and is made available only when the client sets `LabelDetectionConfig.
# model` to "builtin/latest" in the request.
# Corresponds to the JSON property `shotPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelAnnotation>]
attr_accessor :shot_presence_label_annotations
# Speech transcription.
# Corresponds to the JSON property `speechTranscriptions`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1SpeechTranscription>]
attr_accessor :speech_transcriptions
# OCR text detection and tracking. Annotations for list of detected text
# snippets. Each will have list of frame information associated with it.
# Corresponds to the JSON property `textAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1TextAnnotation>]
attr_accessor :text_annotations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@error = args[:error] if args.key?(:error)
@explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
@face_annotations = args[:face_annotations] if args.key?(:face_annotations)
@face_detection_annotations = args[:face_detection_annotations] if args.key?(:face_detection_annotations)
@frame_label_annotations = args[:frame_label_annotations] if args.key?(:frame_label_annotations)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@logo_recognition_annotations = args[:logo_recognition_annotations] if args.key?(:logo_recognition_annotations)
@object_annotations = args[:object_annotations] if args.key?(:object_annotations)
@person_detection_annotations = args[:person_detection_annotations] if args.key?(:person_detection_annotations)
@segment = args[:segment] if args.key?(:segment)
@segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
@segment_presence_label_annotations = args[:segment_presence_label_annotations] if args.key?(:segment_presence_label_annotations)
@shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
@shot_label_annotations = args[:shot_label_annotations] if args.key?(:shot_label_annotations)
@shot_presence_label_annotations = args[:shot_presence_label_annotations] if args.key?(:shot_presence_label_annotations)
@speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
@text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end
end
# Video context and/or feature-specific parameters.
class GoogleCloudVideointelligenceV1VideoContext
include Google::Apis::Core::Hashable
# Config for EXPLICIT_CONTENT_DETECTION.
# Corresponds to the JSON property `explicitContentDetectionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ExplicitContentDetectionConfig]
attr_accessor :explicit_content_detection_config
# Config for FACE_DETECTION.
# Corresponds to the JSON property `faceDetectionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1FaceDetectionConfig]
attr_accessor :face_detection_config
# Config for LABEL_DETECTION.
# Corresponds to the JSON property `labelDetectionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1LabelDetectionConfig]
attr_accessor :label_detection_config
# Config for OBJECT_TRACKING.
# Corresponds to the JSON property `objectTrackingConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ObjectTrackingConfig]
attr_accessor :object_tracking_config
# Config for PERSON_DETECTION.
# Corresponds to the JSON property `personDetectionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1PersonDetectionConfig]
attr_accessor :person_detection_config
# Video segments to annotate. The segments may overlap and are not required to
# be contiguous or span the whole video. If unspecified, each video is treated
# as a single segment.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1VideoSegment>]
attr_accessor :segments
# Config for SHOT_CHANGE_DETECTION.
# Corresponds to the JSON property `shotChangeDetectionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1ShotChangeDetectionConfig]
attr_accessor :shot_change_detection_config
# Config for SPEECH_TRANSCRIPTION.
# Corresponds to the JSON property `speechTranscriptionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1SpeechTranscriptionConfig]
attr_accessor :speech_transcription_config
# Config for TEXT_DETECTION.
# Corresponds to the JSON property `textDetectionConfig`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1TextDetectionConfig]
attr_accessor :text_detection_config
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@explicit_content_detection_config = args[:explicit_content_detection_config] if args.key?(:explicit_content_detection_config)
@face_detection_config = args[:face_detection_config] if args.key?(:face_detection_config)
@label_detection_config = args[:label_detection_config] if args.key?(:label_detection_config)
@object_tracking_config = args[:object_tracking_config] if args.key?(:object_tracking_config)
@person_detection_config = args[:person_detection_config] if args.key?(:person_detection_config)
@segments = args[:segments] if args.key?(:segments)
@shot_change_detection_config = args[:shot_change_detection_config] if args.key?(:shot_change_detection_config)
@speech_transcription_config = args[:speech_transcription_config] if args.key?(:speech_transcription_config)
@text_detection_config = args[:text_detection_config] if args.key?(:text_detection_config)
end
end
# Video segment.
class GoogleCloudVideointelligenceV1VideoSegment
include Google::Apis::Core::Hashable
# Time-offset, relative to the beginning of the video, corresponding to the end
# of the segment (inclusive).
# Corresponds to the JSON property `endTimeOffset`
# @return [String]
attr_accessor :end_time_offset
# Time-offset, relative to the beginning of the video, corresponding to the
# start of the segment (inclusive).
# Corresponds to the JSON property `startTimeOffset`
# @return [String]
attr_accessor :start_time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_time_offset = args[:end_time_offset] if args.key?(:end_time_offset)
@start_time_offset = args[:start_time_offset] if args.key?(:start_time_offset)
end
end
# Word-specific information for recognized words. Word information is only
# included in the response when certain request parameters are set, such as `
# enable_word_time_offsets`.
class GoogleCloudVideointelligenceV1WordInfo
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time offset relative to the beginning of the audio, and corresponding to the
# end of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# Output only. A distinct integer value is assigned for every speaker within the
# audio. This field specifies which one of those speakers was detected to have
# spoken this word. Value ranges from 1 up to diarization_speaker_count, and is
# only set if speaker diarization is enabled.
# Corresponds to the JSON property `speakerTag`
# @return [Fixnum]
attr_accessor :speaker_tag
# Time offset relative to the beginning of the audio, and corresponding to the
# start of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# The word corresponding to this set of information.
# Corresponds to the JSON property `word`
# @return [String]
attr_accessor :word
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@end_time = args[:end_time] if args.key?(:end_time)
@speaker_tag = args[:speaker_tag] if args.key?(:speaker_tag)
@start_time = args[:start_time] if args.key?(:start_time)
@word = args[:word] if args.key?(:word)
end
end
# Video annotation progress. Included in the `metadata` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1beta2AnnotateVideoProgress
include Google::Apis::Core::Hashable
# Progress metadata for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationProgress`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoAnnotationProgress>]
attr_accessor :annotation_progress
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_progress = args[:annotation_progress] if args.key?(:annotation_progress)
end
end
# Video annotation response. Included in the `response` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1beta2AnnotateVideoResponse
include Google::Apis::Core::Hashable
# Annotation results for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationResults`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoAnnotationResults>]
attr_accessor :annotation_results
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_results = args[:annotation_results] if args.key?(:annotation_results)
end
end
# A generic detected attribute represented by name in string format.
class GoogleCloudVideointelligenceV1beta2DetectedAttribute
include Google::Apis::Core::Hashable
# Detected attribute confidence. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of the attribute, for example, glasses, dark_glasses, mouth_open. A
# full list of supported type names will be provided in the document.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Text value of the detection result. For example, the value for "HairColor" can
# be "black", "blonde", etc.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@value = args[:value] if args.key?(:value)
end
end
# A generic detected landmark represented by name in string format and a 2D
# location.
class GoogleCloudVideointelligenceV1beta2DetectedLandmark
include Google::Apis::Core::Hashable
# The confidence score of the detected landmark. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of this landmark, for example, left_hand, right_shoulder.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
# Corresponds to the JSON property `point`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2NormalizedVertex]
attr_accessor :point
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@point = args[:point] if args.key?(:point)
end
end
# Detected entity from video analysis.
class GoogleCloudVideointelligenceV1beta2Entity
include Google::Apis::Core::Hashable
# Textual description, e.g., `Fixed-gear bicycle`.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
# API](https://developers.google.com/knowledge-graph/).
# Corresponds to the JSON property `entityId`
# @return [String]
attr_accessor :entity_id
# Language code for `description` in BCP-47 format.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@entity_id = args[:entity_id] if args.key?(:entity_id)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
class GoogleCloudVideointelligenceV1beta2ExplicitContentAnnotation
include Google::Apis::Core::Hashable
# All video frames where explicit content was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2ExplicitContentFrame>]
attr_accessor :frames
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for explicit content.
class GoogleCloudVideointelligenceV1beta2ExplicitContentFrame
include Google::Apis::Core::Hashable
# Likelihood of the pornography content..
# Corresponds to the JSON property `pornographyLikelihood`
# @return [String]
attr_accessor :pornography_likelihood
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@pornography_likelihood = args[:pornography_likelihood] if args.key?(:pornography_likelihood)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1beta2FaceAnnotation
include Google::Apis::Core::Hashable
# All video frames where a face was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2FaceFrame>]
attr_accessor :frames
# All video segments where a face was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2FaceSegment>]
attr_accessor :segments
# Thumbnail of a representative face view (in JPEG format).
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
end
end
# Face detection annotation.
class GoogleCloudVideointelligenceV1beta2FaceDetectionAnnotation
include Google::Apis::Core::Hashable
# The thumbnail of a person's face.
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
# The face tracks with attributes.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1beta2FaceFrame
include Google::Apis::Core::Hashable
# Normalized Bounding boxes in a frame. There can be more than one boxes if the
# same face is detected in multiple locations within the current frame.
# Corresponds to the JSON property `normalizedBoundingBoxes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox>]
attr_accessor :normalized_bounding_boxes
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_boxes = args[:normalized_bounding_boxes] if args.key?(:normalized_bounding_boxes)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for face detection.
class GoogleCloudVideointelligenceV1beta2FaceSegment
include Google::Apis::Core::Hashable
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segment = args[:segment] if args.key?(:segment)
end
end
# Label annotation.
class GoogleCloudVideointelligenceV1beta2LabelAnnotation
include Google::Apis::Core::Hashable
# Common categories for the detected entity. For example, when the label is `
# Terrier`, the category is likely `dog`. And in some cases there might be more
# than one categories e.g., `Terrier` could also be a `pet`.
# Corresponds to the JSON property `categoryEntities`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Entity>]
attr_accessor :category_entities
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Entity]
attr_accessor :entity
# All video frames where a label was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelFrame>]
attr_accessor :frames
# All video segments where a label was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelSegment>]
attr_accessor :segments
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category_entities = args[:category_entities] if args.key?(:category_entities)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for label detection.
class GoogleCloudVideointelligenceV1beta2LabelFrame
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for label detection.
class GoogleCloudVideointelligenceV1beta2LabelSegment
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
end
end
# Annotation corresponding to one detected, tracked and recognized logo class.
class GoogleCloudVideointelligenceV1beta2LogoRecognitionAnnotation
include Google::Apis::Core::Hashable
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Entity]
attr_accessor :entity
# All video segments where the recognized logo appears. There might be multiple
# instances of the same logo class appearing in one VideoSegment.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment>]
attr_accessor :segments
# All logo tracks where the recognized logo appears. Each track corresponds to
# one logo instance appearing in consecutive frames.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Track>]
attr_accessor :tracks
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@entity = args[:entity] if args.key?(:entity)
@segments = args[:segments] if args.key?(:segments)
@tracks = args[:tracks] if args.key?(:tracks)
end
end
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
class GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox
include Google::Apis::Core::Hashable
# Bottom Y coordinate.
# Corresponds to the JSON property `bottom`
# @return [Float]
attr_accessor :bottom
# Left X coordinate.
# Corresponds to the JSON property `left`
# @return [Float]
attr_accessor :left
# Right X coordinate.
# Corresponds to the JSON property `right`
# @return [Float]
attr_accessor :right
# Top Y coordinate.
# Corresponds to the JSON property `top`
# @return [Float]
attr_accessor :top
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bottom = args[:bottom] if args.key?(:bottom)
@left = args[:left] if args.key?(:left)
@right = args[:right] if args.key?(:right)
@top = args[:top] if args.key?(:top)
end
end
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
class GoogleCloudVideointelligenceV1beta2NormalizedBoundingPoly
include Google::Apis::Core::Hashable
# Normalized vertices of the bounding polygon.
# Corresponds to the JSON property `vertices`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2NormalizedVertex>]
attr_accessor :vertices
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@vertices = args[:vertices] if args.key?(:vertices)
end
end
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVideointelligenceV1beta2NormalizedVertex
include Google::Apis::Core::Hashable
# X coordinate.
# Corresponds to the JSON property `x`
# @return [Float]
attr_accessor :x
# Y coordinate.
# Corresponds to the JSON property `y`
# @return [Float]
attr_accessor :y
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@x = args[:x] if args.key?(:x)
@y = args[:y] if args.key?(:y)
end
end
# Annotations corresponding to one tracked object.
class GoogleCloudVideointelligenceV1beta2ObjectTrackingAnnotation
include Google::Apis::Core::Hashable
# Object category's labeling confidence of this track.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Entity]
attr_accessor :entity
# Information corresponding to all frames where this object track appears. Non-
# streaming batch mode: it may be one or multiple ObjectTrackingFrame messages
# in frames. Streaming mode: it can only be one ObjectTrackingFrame message in
# frames.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2ObjectTrackingFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
# Streaming mode ONLY. In streaming mode, we do not know the end time of a
# tracked object before it is completed. Hence, there is no VideoSegment info
# returned. Instead, we provide a unique identifiable integer track_id so that
# the customers can correlate the results of the ongoing ObjectTrackAnnotation
# of the same track_id over time.
# Corresponds to the JSON property `trackId`
# @return [Fixnum]
attr_accessor :track_id
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
@track_id = args[:track_id] if args.key?(:track_id)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotations for object detection and tracking. This field
# stores per frame location, time offset, and confidence.
class GoogleCloudVideointelligenceV1beta2ObjectTrackingFrame
include Google::Apis::Core::Hashable
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# The timestamp of the frame in microseconds.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Person detection annotation per video.
class GoogleCloudVideointelligenceV1beta2PersonDetectionAnnotation
include Google::Apis::Core::Hashable
# The detected tracks of a person.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Alternative hypotheses (a.k.a. n-best list).
class GoogleCloudVideointelligenceV1beta2SpeechRecognitionAlternative
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Transcript text representing the words that the user spoke.
# Corresponds to the JSON property `transcript`
# @return [String]
attr_accessor :transcript
# Output only. A list of word-specific information for each recognized word.
# Note: When `enable_speaker_diarization` is set to true, you will see all the
# words from the beginning of the audio.
# Corresponds to the JSON property `words`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2WordInfo>]
attr_accessor :words
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@transcript = args[:transcript] if args.key?(:transcript)
@words = args[:words] if args.key?(:words)
end
end
# A speech recognition result corresponding to a portion of the audio.
class GoogleCloudVideointelligenceV1beta2SpeechTranscription
include Google::Apis::Core::Hashable
# May contain one or more recognition hypotheses (up to the maximum specified in
# `max_alternatives`). These alternatives are ordered in terms of accuracy, with
# the top (first) alternative being the most probable, as ranked by the
# recognizer.
# Corresponds to the JSON property `alternatives`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2SpeechRecognitionAlternative>]
attr_accessor :alternatives
# Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
# language tag of the language in this result. This language code was detected
# to have the most likelihood of being spoken in the audio.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@alternatives = args[:alternatives] if args.key?(:alternatives)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Annotations related to one detected OCR text snippet. This will contain the
# corresponding text, confidence value, and frame level information for each
# detection.
class GoogleCloudVideointelligenceV1beta2TextAnnotation
include Google::Apis::Core::Hashable
# All video segments where OCR detected text appears.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2TextSegment>]
attr_accessor :segments
# The detected text.
# Corresponds to the JSON property `text`
# @return [String]
attr_accessor :text
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segments = args[:segments] if args.key?(:segments)
@text = args[:text] if args.key?(:text)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for text annotation (OCR). Contains
# information regarding timestamp and bounding box locations for the frames
# containing detected OCR text snippets.
class GoogleCloudVideointelligenceV1beta2TextFrame
include Google::Apis::Core::Hashable
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
# Corresponds to the JSON property `rotatedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2NormalizedBoundingPoly]
attr_accessor :rotated_bounding_box
# Timestamp of this frame.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@rotated_bounding_box = args[:rotated_bounding_box] if args.key?(:rotated_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for text detection.
class GoogleCloudVideointelligenceV1beta2TextSegment
include Google::Apis::Core::Hashable
# Confidence for the track of detected text. It is calculated as the highest
# over all frames where OCR detected text appears.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Information related to the frames where OCR detected text appears.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2TextFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
end
end
# For tracking related features. An object at time_offset with attributes, and
# located with normalized_bounding_box.
class GoogleCloudVideointelligenceV1beta2TimestampedObject
include Google::Apis::Core::Hashable
# Optional. The attributes of the object in the bounding box.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2DetectedAttribute>]
attr_accessor :attributes
# Optional. The detected landmarks.
# Corresponds to the JSON property `landmarks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2DetectedLandmark>]
attr_accessor :landmarks
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this object.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@landmarks = args[:landmarks] if args.key?(:landmarks)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# A track of an object instance.
class GoogleCloudVideointelligenceV1beta2Track
include Google::Apis::Core::Hashable
# Optional. Attributes in the track level.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2DetectedAttribute>]
attr_accessor :attributes
# Optional. The confidence score of the tracked object.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
# The object with timestamp and attributes per frame in the track.
# Corresponds to the JSON property `timestampedObjects`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2TimestampedObject>]
attr_accessor :timestamped_objects
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
@timestamped_objects = args[:timestamped_objects] if args.key?(:timestamped_objects)
end
end
# Annotation progress for a single video.
class GoogleCloudVideointelligenceV1beta2VideoAnnotationProgress
include Google::Apis::Core::Hashable
# Specifies which feature is being tracked if the request contains more than one
# feature.
# Corresponds to the JSON property `feature`
# @return [String]
attr_accessor :feature
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Approximate percentage processed thus far. Guaranteed to be 100 when fully
# processed.
# Corresponds to the JSON property `progressPercent`
# @return [Fixnum]
attr_accessor :progress_percent
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
# Time when the request was received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# Time of the most recent update.
# Corresponds to the JSON property `updateTime`
# @return [String]
attr_accessor :update_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@feature = args[:feature] if args.key?(:feature)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@progress_percent = args[:progress_percent] if args.key?(:progress_percent)
@segment = args[:segment] if args.key?(:segment)
@start_time = args[:start_time] if args.key?(:start_time)
@update_time = args[:update_time] if args.key?(:update_time)
end
end
# Annotation results for a single video.
class GoogleCloudVideointelligenceV1beta2VideoAnnotationResults
include Google::Apis::Core::Hashable
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
# Corresponds to the JSON property `explicitAnnotation`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2ExplicitContentAnnotation]
attr_accessor :explicit_annotation
# Deprecated. Please use `face_detection_annotations` instead.
# Corresponds to the JSON property `faceAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2FaceAnnotation>]
attr_accessor :face_annotations
# Face detection annotations.
# Corresponds to the JSON property `faceDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2FaceDetectionAnnotation>]
attr_accessor :face_detection_annotations
# Label annotations on frame level. There is exactly one element for each unique
# label.
# Corresponds to the JSON property `frameLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelAnnotation>]
attr_accessor :frame_label_annotations
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Annotations for list of logos detected, tracked and recognized in video.
# Corresponds to the JSON property `logoRecognitionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LogoRecognitionAnnotation>]
attr_accessor :logo_recognition_annotations
# Annotations for list of objects detected and tracked in video.
# Corresponds to the JSON property `objectAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2ObjectTrackingAnnotation>]
attr_accessor :object_annotations
# Person detection annotations.
# Corresponds to the JSON property `personDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2PersonDetectionAnnotation>]
attr_accessor :person_detection_annotations
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment]
attr_accessor :segment
# Topical label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label.
# Corresponds to the JSON property `segmentLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelAnnotation>]
attr_accessor :segment_label_annotations
# Presence label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label. Compared to the existing
# topical `segment_label_annotations`, this field presents more fine-grained,
# segment-level labels detected in video content and is made available only when
# the client sets `LabelDetectionConfig.model` to "builtin/latest" in the
# request.
# Corresponds to the JSON property `segmentPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelAnnotation>]
attr_accessor :segment_presence_label_annotations
# Shot annotations. Each shot is represented as a video segment.
# Corresponds to the JSON property `shotAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2VideoSegment>]
attr_accessor :shot_annotations
# Topical label annotations on shot level. There is exactly one element for each
# unique label.
# Corresponds to the JSON property `shotLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelAnnotation>]
attr_accessor :shot_label_annotations
# Presence label annotations on shot level. There is exactly one element for
# each unique label. Compared to the existing topical `shot_label_annotations`,
# this field presents more fine-grained, shot-level labels detected in video
# content and is made available only when the client sets `LabelDetectionConfig.
# model` to "builtin/latest" in the request.
# Corresponds to the JSON property `shotPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2LabelAnnotation>]
attr_accessor :shot_presence_label_annotations
# Speech transcription.
# Corresponds to the JSON property `speechTranscriptions`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2SpeechTranscription>]
attr_accessor :speech_transcriptions
# OCR text detection and tracking. Annotations for list of detected text
# snippets. Each will have list of frame information associated with it.
# Corresponds to the JSON property `textAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1beta2TextAnnotation>]
attr_accessor :text_annotations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@error = args[:error] if args.key?(:error)
@explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
@face_annotations = args[:face_annotations] if args.key?(:face_annotations)
@face_detection_annotations = args[:face_detection_annotations] if args.key?(:face_detection_annotations)
@frame_label_annotations = args[:frame_label_annotations] if args.key?(:frame_label_annotations)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@logo_recognition_annotations = args[:logo_recognition_annotations] if args.key?(:logo_recognition_annotations)
@object_annotations = args[:object_annotations] if args.key?(:object_annotations)
@person_detection_annotations = args[:person_detection_annotations] if args.key?(:person_detection_annotations)
@segment = args[:segment] if args.key?(:segment)
@segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
@segment_presence_label_annotations = args[:segment_presence_label_annotations] if args.key?(:segment_presence_label_annotations)
@shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
@shot_label_annotations = args[:shot_label_annotations] if args.key?(:shot_label_annotations)
@shot_presence_label_annotations = args[:shot_presence_label_annotations] if args.key?(:shot_presence_label_annotations)
@speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
@text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end
end
# Video segment.
class GoogleCloudVideointelligenceV1beta2VideoSegment
include Google::Apis::Core::Hashable
# Time-offset, relative to the beginning of the video, corresponding to the end
# of the segment (inclusive).
# Corresponds to the JSON property `endTimeOffset`
# @return [String]
attr_accessor :end_time_offset
# Time-offset, relative to the beginning of the video, corresponding to the
# start of the segment (inclusive).
# Corresponds to the JSON property `startTimeOffset`
# @return [String]
attr_accessor :start_time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_time_offset = args[:end_time_offset] if args.key?(:end_time_offset)
@start_time_offset = args[:start_time_offset] if args.key?(:start_time_offset)
end
end
# Word-specific information for recognized words. Word information is only
# included in the response when certain request parameters are set, such as `
# enable_word_time_offsets`.
class GoogleCloudVideointelligenceV1beta2WordInfo
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time offset relative to the beginning of the audio, and corresponding to the
# end of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# Output only. A distinct integer value is assigned for every speaker within the
# audio. This field specifies which one of those speakers was detected to have
# spoken this word. Value ranges from 1 up to diarization_speaker_count, and is
# only set if speaker diarization is enabled.
# Corresponds to the JSON property `speakerTag`
# @return [Fixnum]
attr_accessor :speaker_tag
# Time offset relative to the beginning of the audio, and corresponding to the
# start of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# The word corresponding to this set of information.
# Corresponds to the JSON property `word`
# @return [String]
attr_accessor :word
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@end_time = args[:end_time] if args.key?(:end_time)
@speaker_tag = args[:speaker_tag] if args.key?(:speaker_tag)
@start_time = args[:start_time] if args.key?(:start_time)
@word = args[:word] if args.key?(:word)
end
end
# Video annotation progress. Included in the `metadata` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1p1beta1AnnotateVideoProgress
include Google::Apis::Core::Hashable
# Progress metadata for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationProgress`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoAnnotationProgress>]
attr_accessor :annotation_progress
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_progress = args[:annotation_progress] if args.key?(:annotation_progress)
end
end
# Video annotation response. Included in the `response` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1p1beta1AnnotateVideoResponse
include Google::Apis::Core::Hashable
# Annotation results for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationResults`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoAnnotationResults>]
attr_accessor :annotation_results
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_results = args[:annotation_results] if args.key?(:annotation_results)
end
end
# A generic detected attribute represented by name in string format.
class GoogleCloudVideointelligenceV1p1beta1DetectedAttribute
include Google::Apis::Core::Hashable
# Detected attribute confidence. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of the attribute, for example, glasses, dark_glasses, mouth_open. A
# full list of supported type names will be provided in the document.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Text value of the detection result. For example, the value for "HairColor" can
# be "black", "blonde", etc.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@value = args[:value] if args.key?(:value)
end
end
# A generic detected landmark represented by name in string format and a 2D
# location.
class GoogleCloudVideointelligenceV1p1beta1DetectedLandmark
include Google::Apis::Core::Hashable
# The confidence score of the detected landmark. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of this landmark, for example, left_hand, right_shoulder.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
# Corresponds to the JSON property `point`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1NormalizedVertex]
attr_accessor :point
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@point = args[:point] if args.key?(:point)
end
end
# Detected entity from video analysis.
class GoogleCloudVideointelligenceV1p1beta1Entity
include Google::Apis::Core::Hashable
# Textual description, e.g., `Fixed-gear bicycle`.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
# API](https://developers.google.com/knowledge-graph/).
# Corresponds to the JSON property `entityId`
# @return [String]
attr_accessor :entity_id
# Language code for `description` in BCP-47 format.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@entity_id = args[:entity_id] if args.key?(:entity_id)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
class GoogleCloudVideointelligenceV1p1beta1ExplicitContentAnnotation
include Google::Apis::Core::Hashable
# All video frames where explicit content was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1ExplicitContentFrame>]
attr_accessor :frames
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for explicit content.
class GoogleCloudVideointelligenceV1p1beta1ExplicitContentFrame
include Google::Apis::Core::Hashable
# Likelihood of the pornography content..
# Corresponds to the JSON property `pornographyLikelihood`
# @return [String]
attr_accessor :pornography_likelihood
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@pornography_likelihood = args[:pornography_likelihood] if args.key?(:pornography_likelihood)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1p1beta1FaceAnnotation
include Google::Apis::Core::Hashable
# All video frames where a face was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1FaceFrame>]
attr_accessor :frames
# All video segments where a face was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1FaceSegment>]
attr_accessor :segments
# Thumbnail of a representative face view (in JPEG format).
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
end
end
# Face detection annotation.
class GoogleCloudVideointelligenceV1p1beta1FaceDetectionAnnotation
include Google::Apis::Core::Hashable
# The thumbnail of a person's face.
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
# The face tracks with attributes.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1p1beta1FaceFrame
include Google::Apis::Core::Hashable
# Normalized Bounding boxes in a frame. There can be more than one boxes if the
# same face is detected in multiple locations within the current frame.
# Corresponds to the JSON property `normalizedBoundingBoxes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox>]
attr_accessor :normalized_bounding_boxes
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_boxes = args[:normalized_bounding_boxes] if args.key?(:normalized_bounding_boxes)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for face detection.
class GoogleCloudVideointelligenceV1p1beta1FaceSegment
include Google::Apis::Core::Hashable
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segment = args[:segment] if args.key?(:segment)
end
end
# Label annotation.
class GoogleCloudVideointelligenceV1p1beta1LabelAnnotation
include Google::Apis::Core::Hashable
# Common categories for the detected entity. For example, when the label is `
# Terrier`, the category is likely `dog`. And in some cases there might be more
# than one categories e.g., `Terrier` could also be a `pet`.
# Corresponds to the JSON property `categoryEntities`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Entity>]
attr_accessor :category_entities
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Entity]
attr_accessor :entity
# All video frames where a label was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelFrame>]
attr_accessor :frames
# All video segments where a label was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelSegment>]
attr_accessor :segments
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category_entities = args[:category_entities] if args.key?(:category_entities)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for label detection.
class GoogleCloudVideointelligenceV1p1beta1LabelFrame
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for label detection.
class GoogleCloudVideointelligenceV1p1beta1LabelSegment
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
end
end
# Annotation corresponding to one detected, tracked and recognized logo class.
class GoogleCloudVideointelligenceV1p1beta1LogoRecognitionAnnotation
include Google::Apis::Core::Hashable
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Entity]
attr_accessor :entity
# All video segments where the recognized logo appears. There might be multiple
# instances of the same logo class appearing in one VideoSegment.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment>]
attr_accessor :segments
# All logo tracks where the recognized logo appears. Each track corresponds to
# one logo instance appearing in consecutive frames.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Track>]
attr_accessor :tracks
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@entity = args[:entity] if args.key?(:entity)
@segments = args[:segments] if args.key?(:segments)
@tracks = args[:tracks] if args.key?(:tracks)
end
end
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
class GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox
include Google::Apis::Core::Hashable
# Bottom Y coordinate.
# Corresponds to the JSON property `bottom`
# @return [Float]
attr_accessor :bottom
# Left X coordinate.
# Corresponds to the JSON property `left`
# @return [Float]
attr_accessor :left
# Right X coordinate.
# Corresponds to the JSON property `right`
# @return [Float]
attr_accessor :right
# Top Y coordinate.
# Corresponds to the JSON property `top`
# @return [Float]
attr_accessor :top
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bottom = args[:bottom] if args.key?(:bottom)
@left = args[:left] if args.key?(:left)
@right = args[:right] if args.key?(:right)
@top = args[:top] if args.key?(:top)
end
end
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
class GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingPoly
include Google::Apis::Core::Hashable
# Normalized vertices of the bounding polygon.
# Corresponds to the JSON property `vertices`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1NormalizedVertex>]
attr_accessor :vertices
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@vertices = args[:vertices] if args.key?(:vertices)
end
end
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVideointelligenceV1p1beta1NormalizedVertex
include Google::Apis::Core::Hashable
# X coordinate.
# Corresponds to the JSON property `x`
# @return [Float]
attr_accessor :x
# Y coordinate.
# Corresponds to the JSON property `y`
# @return [Float]
attr_accessor :y
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@x = args[:x] if args.key?(:x)
@y = args[:y] if args.key?(:y)
end
end
# Annotations corresponding to one tracked object.
class GoogleCloudVideointelligenceV1p1beta1ObjectTrackingAnnotation
include Google::Apis::Core::Hashable
# Object category's labeling confidence of this track.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Entity]
attr_accessor :entity
# Information corresponding to all frames where this object track appears. Non-
# streaming batch mode: it may be one or multiple ObjectTrackingFrame messages
# in frames. Streaming mode: it can only be one ObjectTrackingFrame message in
# frames.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1ObjectTrackingFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
# Streaming mode ONLY. In streaming mode, we do not know the end time of a
# tracked object before it is completed. Hence, there is no VideoSegment info
# returned. Instead, we provide a unique identifiable integer track_id so that
# the customers can correlate the results of the ongoing ObjectTrackAnnotation
# of the same track_id over time.
# Corresponds to the JSON property `trackId`
# @return [Fixnum]
attr_accessor :track_id
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
@track_id = args[:track_id] if args.key?(:track_id)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotations for object detection and tracking. This field
# stores per frame location, time offset, and confidence.
class GoogleCloudVideointelligenceV1p1beta1ObjectTrackingFrame
include Google::Apis::Core::Hashable
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# The timestamp of the frame in microseconds.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Person detection annotation per video.
class GoogleCloudVideointelligenceV1p1beta1PersonDetectionAnnotation
include Google::Apis::Core::Hashable
# The detected tracks of a person.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Alternative hypotheses (a.k.a. n-best list).
class GoogleCloudVideointelligenceV1p1beta1SpeechRecognitionAlternative
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Transcript text representing the words that the user spoke.
# Corresponds to the JSON property `transcript`
# @return [String]
attr_accessor :transcript
# Output only. A list of word-specific information for each recognized word.
# Note: When `enable_speaker_diarization` is set to true, you will see all the
# words from the beginning of the audio.
# Corresponds to the JSON property `words`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1WordInfo>]
attr_accessor :words
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@transcript = args[:transcript] if args.key?(:transcript)
@words = args[:words] if args.key?(:words)
end
end
# A speech recognition result corresponding to a portion of the audio.
class GoogleCloudVideointelligenceV1p1beta1SpeechTranscription
include Google::Apis::Core::Hashable
# May contain one or more recognition hypotheses (up to the maximum specified in
# `max_alternatives`). These alternatives are ordered in terms of accuracy, with
# the top (first) alternative being the most probable, as ranked by the
# recognizer.
# Corresponds to the JSON property `alternatives`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1SpeechRecognitionAlternative>]
attr_accessor :alternatives
# Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
# language tag of the language in this result. This language code was detected
# to have the most likelihood of being spoken in the audio.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@alternatives = args[:alternatives] if args.key?(:alternatives)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Annotations related to one detected OCR text snippet. This will contain the
# corresponding text, confidence value, and frame level information for each
# detection.
class GoogleCloudVideointelligenceV1p1beta1TextAnnotation
include Google::Apis::Core::Hashable
# All video segments where OCR detected text appears.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1TextSegment>]
attr_accessor :segments
# The detected text.
# Corresponds to the JSON property `text`
# @return [String]
attr_accessor :text
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segments = args[:segments] if args.key?(:segments)
@text = args[:text] if args.key?(:text)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for text annotation (OCR). Contains
# information regarding timestamp and bounding box locations for the frames
# containing detected OCR text snippets.
class GoogleCloudVideointelligenceV1p1beta1TextFrame
include Google::Apis::Core::Hashable
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
# Corresponds to the JSON property `rotatedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingPoly]
attr_accessor :rotated_bounding_box
# Timestamp of this frame.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@rotated_bounding_box = args[:rotated_bounding_box] if args.key?(:rotated_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for text detection.
class GoogleCloudVideointelligenceV1p1beta1TextSegment
include Google::Apis::Core::Hashable
# Confidence for the track of detected text. It is calculated as the highest
# over all frames where OCR detected text appears.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Information related to the frames where OCR detected text appears.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1TextFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
end
end
# For tracking related features. An object at time_offset with attributes, and
# located with normalized_bounding_box.
class GoogleCloudVideointelligenceV1p1beta1TimestampedObject
include Google::Apis::Core::Hashable
# Optional. The attributes of the object in the bounding box.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1DetectedAttribute>]
attr_accessor :attributes
# Optional. The detected landmarks.
# Corresponds to the JSON property `landmarks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1DetectedLandmark>]
attr_accessor :landmarks
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this object.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@landmarks = args[:landmarks] if args.key?(:landmarks)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# A track of an object instance.
class GoogleCloudVideointelligenceV1p1beta1Track
include Google::Apis::Core::Hashable
# Optional. Attributes in the track level.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1DetectedAttribute>]
attr_accessor :attributes
# Optional. The confidence score of the tracked object.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
# The object with timestamp and attributes per frame in the track.
# Corresponds to the JSON property `timestampedObjects`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1TimestampedObject>]
attr_accessor :timestamped_objects
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
@timestamped_objects = args[:timestamped_objects] if args.key?(:timestamped_objects)
end
end
# Annotation progress for a single video.
class GoogleCloudVideointelligenceV1p1beta1VideoAnnotationProgress
include Google::Apis::Core::Hashable
# Specifies which feature is being tracked if the request contains more than one
# feature.
# Corresponds to the JSON property `feature`
# @return [String]
attr_accessor :feature
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Approximate percentage processed thus far. Guaranteed to be 100 when fully
# processed.
# Corresponds to the JSON property `progressPercent`
# @return [Fixnum]
attr_accessor :progress_percent
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
# Time when the request was received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# Time of the most recent update.
# Corresponds to the JSON property `updateTime`
# @return [String]
attr_accessor :update_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@feature = args[:feature] if args.key?(:feature)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@progress_percent = args[:progress_percent] if args.key?(:progress_percent)
@segment = args[:segment] if args.key?(:segment)
@start_time = args[:start_time] if args.key?(:start_time)
@update_time = args[:update_time] if args.key?(:update_time)
end
end
# Annotation results for a single video.
class GoogleCloudVideointelligenceV1p1beta1VideoAnnotationResults
include Google::Apis::Core::Hashable
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
# Corresponds to the JSON property `explicitAnnotation`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1ExplicitContentAnnotation]
attr_accessor :explicit_annotation
# Deprecated. Please use `face_detection_annotations` instead.
# Corresponds to the JSON property `faceAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1FaceAnnotation>]
attr_accessor :face_annotations
# Face detection annotations.
# Corresponds to the JSON property `faceDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1FaceDetectionAnnotation>]
attr_accessor :face_detection_annotations
# Label annotations on frame level. There is exactly one element for each unique
# label.
# Corresponds to the JSON property `frameLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelAnnotation>]
attr_accessor :frame_label_annotations
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Annotations for list of logos detected, tracked and recognized in video.
# Corresponds to the JSON property `logoRecognitionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LogoRecognitionAnnotation>]
attr_accessor :logo_recognition_annotations
# Annotations for list of objects detected and tracked in video.
# Corresponds to the JSON property `objectAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1ObjectTrackingAnnotation>]
attr_accessor :object_annotations
# Person detection annotations.
# Corresponds to the JSON property `personDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1PersonDetectionAnnotation>]
attr_accessor :person_detection_annotations
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment]
attr_accessor :segment
# Topical label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label.
# Corresponds to the JSON property `segmentLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelAnnotation>]
attr_accessor :segment_label_annotations
# Presence label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label. Compared to the existing
# topical `segment_label_annotations`, this field presents more fine-grained,
# segment-level labels detected in video content and is made available only when
# the client sets `LabelDetectionConfig.model` to "builtin/latest" in the
# request.
# Corresponds to the JSON property `segmentPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelAnnotation>]
attr_accessor :segment_presence_label_annotations
# Shot annotations. Each shot is represented as a video segment.
# Corresponds to the JSON property `shotAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1VideoSegment>]
attr_accessor :shot_annotations
# Topical label annotations on shot level. There is exactly one element for each
# unique label.
# Corresponds to the JSON property `shotLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelAnnotation>]
attr_accessor :shot_label_annotations
# Presence label annotations on shot level. There is exactly one element for
# each unique label. Compared to the existing topical `shot_label_annotations`,
# this field presents more fine-grained, shot-level labels detected in video
# content and is made available only when the client sets `LabelDetectionConfig.
# model` to "builtin/latest" in the request.
# Corresponds to the JSON property `shotPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1LabelAnnotation>]
attr_accessor :shot_presence_label_annotations
# Speech transcription.
# Corresponds to the JSON property `speechTranscriptions`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1SpeechTranscription>]
attr_accessor :speech_transcriptions
# OCR text detection and tracking. Annotations for list of detected text
# snippets. Each will have list of frame information associated with it.
# Corresponds to the JSON property `textAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p1beta1TextAnnotation>]
attr_accessor :text_annotations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@error = args[:error] if args.key?(:error)
@explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
@face_annotations = args[:face_annotations] if args.key?(:face_annotations)
@face_detection_annotations = args[:face_detection_annotations] if args.key?(:face_detection_annotations)
@frame_label_annotations = args[:frame_label_annotations] if args.key?(:frame_label_annotations)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@logo_recognition_annotations = args[:logo_recognition_annotations] if args.key?(:logo_recognition_annotations)
@object_annotations = args[:object_annotations] if args.key?(:object_annotations)
@person_detection_annotations = args[:person_detection_annotations] if args.key?(:person_detection_annotations)
@segment = args[:segment] if args.key?(:segment)
@segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
@segment_presence_label_annotations = args[:segment_presence_label_annotations] if args.key?(:segment_presence_label_annotations)
@shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
@shot_label_annotations = args[:shot_label_annotations] if args.key?(:shot_label_annotations)
@shot_presence_label_annotations = args[:shot_presence_label_annotations] if args.key?(:shot_presence_label_annotations)
@speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
@text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end
end
# Video segment.
class GoogleCloudVideointelligenceV1p1beta1VideoSegment
include Google::Apis::Core::Hashable
# Time-offset, relative to the beginning of the video, corresponding to the end
# of the segment (inclusive).
# Corresponds to the JSON property `endTimeOffset`
# @return [String]
attr_accessor :end_time_offset
# Time-offset, relative to the beginning of the video, corresponding to the
# start of the segment (inclusive).
# Corresponds to the JSON property `startTimeOffset`
# @return [String]
attr_accessor :start_time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_time_offset = args[:end_time_offset] if args.key?(:end_time_offset)
@start_time_offset = args[:start_time_offset] if args.key?(:start_time_offset)
end
end
# Word-specific information for recognized words. Word information is only
# included in the response when certain request parameters are set, such as `
# enable_word_time_offsets`.
class GoogleCloudVideointelligenceV1p1beta1WordInfo
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time offset relative to the beginning of the audio, and corresponding to the
# end of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# Output only. A distinct integer value is assigned for every speaker within the
# audio. This field specifies which one of those speakers was detected to have
# spoken this word. Value ranges from 1 up to diarization_speaker_count, and is
# only set if speaker diarization is enabled.
# Corresponds to the JSON property `speakerTag`
# @return [Fixnum]
attr_accessor :speaker_tag
# Time offset relative to the beginning of the audio, and corresponding to the
# start of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# The word corresponding to this set of information.
# Corresponds to the JSON property `word`
# @return [String]
attr_accessor :word
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@end_time = args[:end_time] if args.key?(:end_time)
@speaker_tag = args[:speaker_tag] if args.key?(:speaker_tag)
@start_time = args[:start_time] if args.key?(:start_time)
@word = args[:word] if args.key?(:word)
end
end
# Video annotation progress. Included in the `metadata` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1p2beta1AnnotateVideoProgress
include Google::Apis::Core::Hashable
# Progress metadata for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationProgress`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoAnnotationProgress>]
attr_accessor :annotation_progress
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_progress = args[:annotation_progress] if args.key?(:annotation_progress)
end
end
# Video annotation response. Included in the `response` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1p2beta1AnnotateVideoResponse
include Google::Apis::Core::Hashable
# Annotation results for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationResults`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults>]
attr_accessor :annotation_results
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_results = args[:annotation_results] if args.key?(:annotation_results)
end
end
# A generic detected attribute represented by name in string format.
class GoogleCloudVideointelligenceV1p2beta1DetectedAttribute
include Google::Apis::Core::Hashable
# Detected attribute confidence. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of the attribute, for example, glasses, dark_glasses, mouth_open. A
# full list of supported type names will be provided in the document.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Text value of the detection result. For example, the value for "HairColor" can
# be "black", "blonde", etc.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@value = args[:value] if args.key?(:value)
end
end
# A generic detected landmark represented by name in string format and a 2D
# location.
class GoogleCloudVideointelligenceV1p2beta1DetectedLandmark
include Google::Apis::Core::Hashable
# The confidence score of the detected landmark. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of this landmark, for example, left_hand, right_shoulder.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
# Corresponds to the JSON property `point`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1NormalizedVertex]
attr_accessor :point
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@point = args[:point] if args.key?(:point)
end
end
# Detected entity from video analysis.
class GoogleCloudVideointelligenceV1p2beta1Entity
include Google::Apis::Core::Hashable
# Textual description, e.g., `Fixed-gear bicycle`.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
# API](https://developers.google.com/knowledge-graph/).
# Corresponds to the JSON property `entityId`
# @return [String]
attr_accessor :entity_id
# Language code for `description` in BCP-47 format.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@entity_id = args[:entity_id] if args.key?(:entity_id)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
class GoogleCloudVideointelligenceV1p2beta1ExplicitContentAnnotation
include Google::Apis::Core::Hashable
# All video frames where explicit content was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ExplicitContentFrame>]
attr_accessor :frames
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for explicit content.
class GoogleCloudVideointelligenceV1p2beta1ExplicitContentFrame
include Google::Apis::Core::Hashable
# Likelihood of the pornography content..
# Corresponds to the JSON property `pornographyLikelihood`
# @return [String]
attr_accessor :pornography_likelihood
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@pornography_likelihood = args[:pornography_likelihood] if args.key?(:pornography_likelihood)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1p2beta1FaceAnnotation
include Google::Apis::Core::Hashable
# All video frames where a face was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceFrame>]
attr_accessor :frames
# All video segments where a face was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceSegment>]
attr_accessor :segments
# Thumbnail of a representative face view (in JPEG format).
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
end
end
# Face detection annotation.
class GoogleCloudVideointelligenceV1p2beta1FaceDetectionAnnotation
include Google::Apis::Core::Hashable
# The thumbnail of a person's face.
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
# The face tracks with attributes.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1p2beta1FaceFrame
include Google::Apis::Core::Hashable
# Normalized Bounding boxes in a frame. There can be more than one boxes if the
# same face is detected in multiple locations within the current frame.
# Corresponds to the JSON property `normalizedBoundingBoxes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox>]
attr_accessor :normalized_bounding_boxes
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_boxes = args[:normalized_bounding_boxes] if args.key?(:normalized_bounding_boxes)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for face detection.
class GoogleCloudVideointelligenceV1p2beta1FaceSegment
include Google::Apis::Core::Hashable
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segment = args[:segment] if args.key?(:segment)
end
end
# Label annotation.
class GoogleCloudVideointelligenceV1p2beta1LabelAnnotation
include Google::Apis::Core::Hashable
# Common categories for the detected entity. For example, when the label is `
# Terrier`, the category is likely `dog`. And in some cases there might be more
# than one categories e.g., `Terrier` could also be a `pet`.
# Corresponds to the JSON property `categoryEntities`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Entity>]
attr_accessor :category_entities
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Entity]
attr_accessor :entity
# All video frames where a label was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelFrame>]
attr_accessor :frames
# All video segments where a label was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelSegment>]
attr_accessor :segments
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category_entities = args[:category_entities] if args.key?(:category_entities)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for label detection.
class GoogleCloudVideointelligenceV1p2beta1LabelFrame
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for label detection.
class GoogleCloudVideointelligenceV1p2beta1LabelSegment
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
end
end
# Annotation corresponding to one detected, tracked and recognized logo class.
class GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotation
include Google::Apis::Core::Hashable
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Entity]
attr_accessor :entity
# All video segments where the recognized logo appears. There might be multiple
# instances of the same logo class appearing in one VideoSegment.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment>]
attr_accessor :segments
# All logo tracks where the recognized logo appears. Each track corresponds to
# one logo instance appearing in consecutive frames.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Track>]
attr_accessor :tracks
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@entity = args[:entity] if args.key?(:entity)
@segments = args[:segments] if args.key?(:segments)
@tracks = args[:tracks] if args.key?(:tracks)
end
end
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
class GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox
include Google::Apis::Core::Hashable
# Bottom Y coordinate.
# Corresponds to the JSON property `bottom`
# @return [Float]
attr_accessor :bottom
# Left X coordinate.
# Corresponds to the JSON property `left`
# @return [Float]
attr_accessor :left
# Right X coordinate.
# Corresponds to the JSON property `right`
# @return [Float]
attr_accessor :right
# Top Y coordinate.
# Corresponds to the JSON property `top`
# @return [Float]
attr_accessor :top
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bottom = args[:bottom] if args.key?(:bottom)
@left = args[:left] if args.key?(:left)
@right = args[:right] if args.key?(:right)
@top = args[:top] if args.key?(:top)
end
end
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
class GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingPoly
include Google::Apis::Core::Hashable
# Normalized vertices of the bounding polygon.
# Corresponds to the JSON property `vertices`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1NormalizedVertex>]
attr_accessor :vertices
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@vertices = args[:vertices] if args.key?(:vertices)
end
end
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVideointelligenceV1p2beta1NormalizedVertex
include Google::Apis::Core::Hashable
# X coordinate.
# Corresponds to the JSON property `x`
# @return [Float]
attr_accessor :x
# Y coordinate.
# Corresponds to the JSON property `y`
# @return [Float]
attr_accessor :y
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@x = args[:x] if args.key?(:x)
@y = args[:y] if args.key?(:y)
end
end
# Annotations corresponding to one tracked object.
class GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotation
include Google::Apis::Core::Hashable
# Object category's labeling confidence of this track.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Entity]
attr_accessor :entity
# Information corresponding to all frames where this object track appears. Non-
# streaming batch mode: it may be one or multiple ObjectTrackingFrame messages
# in frames. Streaming mode: it can only be one ObjectTrackingFrame message in
# frames.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ObjectTrackingFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
# Streaming mode ONLY. In streaming mode, we do not know the end time of a
# tracked object before it is completed. Hence, there is no VideoSegment info
# returned. Instead, we provide a unique identifiable integer track_id so that
# the customers can correlate the results of the ongoing ObjectTrackAnnotation
# of the same track_id over time.
# Corresponds to the JSON property `trackId`
# @return [Fixnum]
attr_accessor :track_id
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
@track_id = args[:track_id] if args.key?(:track_id)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotations for object detection and tracking. This field
# stores per frame location, time offset, and confidence.
class GoogleCloudVideointelligenceV1p2beta1ObjectTrackingFrame
include Google::Apis::Core::Hashable
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# The timestamp of the frame in microseconds.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Person detection annotation per video.
class GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotation
include Google::Apis::Core::Hashable
# The detected tracks of a person.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Alternative hypotheses (a.k.a. n-best list).
class GoogleCloudVideointelligenceV1p2beta1SpeechRecognitionAlternative
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Transcript text representing the words that the user spoke.
# Corresponds to the JSON property `transcript`
# @return [String]
attr_accessor :transcript
# Output only. A list of word-specific information for each recognized word.
# Note: When `enable_speaker_diarization` is set to true, you will see all the
# words from the beginning of the audio.
# Corresponds to the JSON property `words`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1WordInfo>]
attr_accessor :words
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@transcript = args[:transcript] if args.key?(:transcript)
@words = args[:words] if args.key?(:words)
end
end
# A speech recognition result corresponding to a portion of the audio.
class GoogleCloudVideointelligenceV1p2beta1SpeechTranscription
include Google::Apis::Core::Hashable
# May contain one or more recognition hypotheses (up to the maximum specified in
# `max_alternatives`). These alternatives are ordered in terms of accuracy, with
# the top (first) alternative being the most probable, as ranked by the
# recognizer.
# Corresponds to the JSON property `alternatives`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1SpeechRecognitionAlternative>]
attr_accessor :alternatives
# Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
# language tag of the language in this result. This language code was detected
# to have the most likelihood of being spoken in the audio.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@alternatives = args[:alternatives] if args.key?(:alternatives)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Annotations related to one detected OCR text snippet. This will contain the
# corresponding text, confidence value, and frame level information for each
# detection.
class GoogleCloudVideointelligenceV1p2beta1TextAnnotation
include Google::Apis::Core::Hashable
# All video segments where OCR detected text appears.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1TextSegment>]
attr_accessor :segments
# The detected text.
# Corresponds to the JSON property `text`
# @return [String]
attr_accessor :text
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segments = args[:segments] if args.key?(:segments)
@text = args[:text] if args.key?(:text)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for text annotation (OCR). Contains
# information regarding timestamp and bounding box locations for the frames
# containing detected OCR text snippets.
class GoogleCloudVideointelligenceV1p2beta1TextFrame
include Google::Apis::Core::Hashable
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
# Corresponds to the JSON property `rotatedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingPoly]
attr_accessor :rotated_bounding_box
# Timestamp of this frame.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@rotated_bounding_box = args[:rotated_bounding_box] if args.key?(:rotated_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for text detection.
class GoogleCloudVideointelligenceV1p2beta1TextSegment
include Google::Apis::Core::Hashable
# Confidence for the track of detected text. It is calculated as the highest
# over all frames where OCR detected text appears.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Information related to the frames where OCR detected text appears.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1TextFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
end
end
# For tracking related features. An object at time_offset with attributes, and
# located with normalized_bounding_box.
class GoogleCloudVideointelligenceV1p2beta1TimestampedObject
include Google::Apis::Core::Hashable
# Optional. The attributes of the object in the bounding box.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1DetectedAttribute>]
attr_accessor :attributes
# Optional. The detected landmarks.
# Corresponds to the JSON property `landmarks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1DetectedLandmark>]
attr_accessor :landmarks
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this object.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@landmarks = args[:landmarks] if args.key?(:landmarks)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# A track of an object instance.
class GoogleCloudVideointelligenceV1p2beta1Track
include Google::Apis::Core::Hashable
# Optional. Attributes in the track level.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1DetectedAttribute>]
attr_accessor :attributes
# Optional. The confidence score of the tracked object.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
# The object with timestamp and attributes per frame in the track.
# Corresponds to the JSON property `timestampedObjects`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1TimestampedObject>]
attr_accessor :timestamped_objects
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
@timestamped_objects = args[:timestamped_objects] if args.key?(:timestamped_objects)
end
end
# Annotation progress for a single video.
class GoogleCloudVideointelligenceV1p2beta1VideoAnnotationProgress
include Google::Apis::Core::Hashable
# Specifies which feature is being tracked if the request contains more than one
# feature.
# Corresponds to the JSON property `feature`
# @return [String]
attr_accessor :feature
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Approximate percentage processed thus far. Guaranteed to be 100 when fully
# processed.
# Corresponds to the JSON property `progressPercent`
# @return [Fixnum]
attr_accessor :progress_percent
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
# Time when the request was received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# Time of the most recent update.
# Corresponds to the JSON property `updateTime`
# @return [String]
attr_accessor :update_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@feature = args[:feature] if args.key?(:feature)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@progress_percent = args[:progress_percent] if args.key?(:progress_percent)
@segment = args[:segment] if args.key?(:segment)
@start_time = args[:start_time] if args.key?(:start_time)
@update_time = args[:update_time] if args.key?(:update_time)
end
end
# Annotation results for a single video.
class GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults
include Google::Apis::Core::Hashable
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
# Corresponds to the JSON property `explicitAnnotation`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ExplicitContentAnnotation]
attr_accessor :explicit_annotation
# Deprecated. Please use `face_detection_annotations` instead.
# Corresponds to the JSON property `faceAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceAnnotation>]
attr_accessor :face_annotations
# Face detection annotations.
# Corresponds to the JSON property `faceDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1FaceDetectionAnnotation>]
attr_accessor :face_detection_annotations
# Label annotations on frame level. There is exactly one element for each unique
# label.
# Corresponds to the JSON property `frameLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>]
attr_accessor :frame_label_annotations
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Annotations for list of logos detected, tracked and recognized in video.
# Corresponds to the JSON property `logoRecognitionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotation>]
attr_accessor :logo_recognition_annotations
# Annotations for list of objects detected and tracked in video.
# Corresponds to the JSON property `objectAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotation>]
attr_accessor :object_annotations
# Person detection annotations.
# Corresponds to the JSON property `personDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotation>]
attr_accessor :person_detection_annotations
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment]
attr_accessor :segment
# Topical label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label.
# Corresponds to the JSON property `segmentLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>]
attr_accessor :segment_label_annotations
# Presence label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label. Compared to the existing
# topical `segment_label_annotations`, this field presents more fine-grained,
# segment-level labels detected in video content and is made available only when
# the client sets `LabelDetectionConfig.model` to "builtin/latest" in the
# request.
# Corresponds to the JSON property `segmentPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>]
attr_accessor :segment_presence_label_annotations
# Shot annotations. Each shot is represented as a video segment.
# Corresponds to the JSON property `shotAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1VideoSegment>]
attr_accessor :shot_annotations
# Topical label annotations on shot level. There is exactly one element for each
# unique label.
# Corresponds to the JSON property `shotLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>]
attr_accessor :shot_label_annotations
# Presence label annotations on shot level. There is exactly one element for
# each unique label. Compared to the existing topical `shot_label_annotations`,
# this field presents more fine-grained, shot-level labels detected in video
# content and is made available only when the client sets `LabelDetectionConfig.
# model` to "builtin/latest" in the request.
# Corresponds to the JSON property `shotPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1LabelAnnotation>]
attr_accessor :shot_presence_label_annotations
# Speech transcription.
# Corresponds to the JSON property `speechTranscriptions`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1SpeechTranscription>]
attr_accessor :speech_transcriptions
# OCR text detection and tracking. Annotations for list of detected text
# snippets. Each will have list of frame information associated with it.
# Corresponds to the JSON property `textAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p2beta1TextAnnotation>]
attr_accessor :text_annotations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@error = args[:error] if args.key?(:error)
@explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
@face_annotations = args[:face_annotations] if args.key?(:face_annotations)
@face_detection_annotations = args[:face_detection_annotations] if args.key?(:face_detection_annotations)
@frame_label_annotations = args[:frame_label_annotations] if args.key?(:frame_label_annotations)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@logo_recognition_annotations = args[:logo_recognition_annotations] if args.key?(:logo_recognition_annotations)
@object_annotations = args[:object_annotations] if args.key?(:object_annotations)
@person_detection_annotations = args[:person_detection_annotations] if args.key?(:person_detection_annotations)
@segment = args[:segment] if args.key?(:segment)
@segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
@segment_presence_label_annotations = args[:segment_presence_label_annotations] if args.key?(:segment_presence_label_annotations)
@shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
@shot_label_annotations = args[:shot_label_annotations] if args.key?(:shot_label_annotations)
@shot_presence_label_annotations = args[:shot_presence_label_annotations] if args.key?(:shot_presence_label_annotations)
@speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
@text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end
end
# Video segment.
class GoogleCloudVideointelligenceV1p2beta1VideoSegment
include Google::Apis::Core::Hashable
# Time-offset, relative to the beginning of the video, corresponding to the end
# of the segment (inclusive).
# Corresponds to the JSON property `endTimeOffset`
# @return [String]
attr_accessor :end_time_offset
# Time-offset, relative to the beginning of the video, corresponding to the
# start of the segment (inclusive).
# Corresponds to the JSON property `startTimeOffset`
# @return [String]
attr_accessor :start_time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_time_offset = args[:end_time_offset] if args.key?(:end_time_offset)
@start_time_offset = args[:start_time_offset] if args.key?(:start_time_offset)
end
end
# Word-specific information for recognized words. Word information is only
# included in the response when certain request parameters are set, such as `
# enable_word_time_offsets`.
class GoogleCloudVideointelligenceV1p2beta1WordInfo
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time offset relative to the beginning of the audio, and corresponding to the
# end of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# Output only. A distinct integer value is assigned for every speaker within the
# audio. This field specifies which one of those speakers was detected to have
# spoken this word. Value ranges from 1 up to diarization_speaker_count, and is
# only set if speaker diarization is enabled.
# Corresponds to the JSON property `speakerTag`
# @return [Fixnum]
attr_accessor :speaker_tag
# Time offset relative to the beginning of the audio, and corresponding to the
# start of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# The word corresponding to this set of information.
# Corresponds to the JSON property `word`
# @return [String]
attr_accessor :word
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@end_time = args[:end_time] if args.key?(:end_time)
@speaker_tag = args[:speaker_tag] if args.key?(:speaker_tag)
@start_time = args[:start_time] if args.key?(:start_time)
@word = args[:word] if args.key?(:word)
end
end
# Video annotation progress. Included in the `metadata` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1p3beta1AnnotateVideoProgress
include Google::Apis::Core::Hashable
# Progress metadata for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationProgress`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoAnnotationProgress>]
attr_accessor :annotation_progress
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_progress = args[:annotation_progress] if args.key?(:annotation_progress)
end
end
# Video annotation response. Included in the `response` field of the `Operation`
# returned by the `GetOperation` call of the `google::longrunning::Operations`
# service.
class GoogleCloudVideointelligenceV1p3beta1AnnotateVideoResponse
include Google::Apis::Core::Hashable
# Annotation results for all videos specified in `AnnotateVideoRequest`.
# Corresponds to the JSON property `annotationResults`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults>]
attr_accessor :annotation_results
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_results = args[:annotation_results] if args.key?(:annotation_results)
end
end
# Celebrity definition.
class GoogleCloudVideointelligenceV1p3beta1Celebrity
include Google::Apis::Core::Hashable
# Textual description of additional information about the celebrity, if
# applicable.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# The celebrity name.
# Corresponds to the JSON property `displayName`
# @return [String]
attr_accessor :display_name
# The resource name of the celebrity. Have the format `video-intelligence/kg-mid`
# indicates a celebrity from preloaded gallery. kg-mid is the id in Google
# knowledge graph, which is unique for the celebrity.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@display_name = args[:display_name] if args.key?(:display_name)
@name = args[:name] if args.key?(:name)
end
end
# Celebrity recognition annotation per video.
class GoogleCloudVideointelligenceV1p3beta1CelebrityRecognitionAnnotation
include Google::Apis::Core::Hashable
# The tracks detected from the input video, including recognized celebrities and
# other detected faces in the video.
# Corresponds to the JSON property `celebrityTracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1CelebrityTrack>]
attr_accessor :celebrity_tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@celebrity_tracks = args[:celebrity_tracks] if args.key?(:celebrity_tracks)
@version = args[:version] if args.key?(:version)
end
end
# The annotation result of a celebrity face track. RecognizedCelebrity field
# could be empty if the face track does not have any matched celebrities.
class GoogleCloudVideointelligenceV1p3beta1CelebrityTrack
include Google::Apis::Core::Hashable
# Top N match of the celebrities for the face in this track.
# Corresponds to the JSON property `celebrities`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1RecognizedCelebrity>]
attr_accessor :celebrities
# A track of an object instance.
# Corresponds to the JSON property `faceTrack`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Track]
attr_accessor :face_track
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@celebrities = args[:celebrities] if args.key?(:celebrities)
@face_track = args[:face_track] if args.key?(:face_track)
end
end
# A generic detected attribute represented by name in string format.
class GoogleCloudVideointelligenceV1p3beta1DetectedAttribute
include Google::Apis::Core::Hashable
# Detected attribute confidence. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of the attribute, for example, glasses, dark_glasses, mouth_open. A
# full list of supported type names will be provided in the document.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Text value of the detection result. For example, the value for "HairColor" can
# be "black", "blonde", etc.
# Corresponds to the JSON property `value`
# @return [String]
attr_accessor :value
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@value = args[:value] if args.key?(:value)
end
end
# A generic detected landmark represented by name in string format and a 2D
# location.
class GoogleCloudVideointelligenceV1p3beta1DetectedLandmark
include Google::Apis::Core::Hashable
# The confidence score of the detected landmark. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# The name of this landmark, for example, left_hand, right_shoulder.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
# Corresponds to the JSON property `point`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1NormalizedVertex]
attr_accessor :point
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@name = args[:name] if args.key?(:name)
@point = args[:point] if args.key?(:point)
end
end
# Detected entity from video analysis.
class GoogleCloudVideointelligenceV1p3beta1Entity
include Google::Apis::Core::Hashable
# Textual description, e.g., `Fixed-gear bicycle`.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
# API](https://developers.google.com/knowledge-graph/).
# Corresponds to the JSON property `entityId`
# @return [String]
attr_accessor :entity_id
# Language code for `description` in BCP-47 format.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@entity_id = args[:entity_id] if args.key?(:entity_id)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
class GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation
include Google::Apis::Core::Hashable
# All video frames where explicit content was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1ExplicitContentFrame>]
attr_accessor :frames
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for explicit content.
class GoogleCloudVideointelligenceV1p3beta1ExplicitContentFrame
include Google::Apis::Core::Hashable
# Likelihood of the pornography content..
# Corresponds to the JSON property `pornographyLikelihood`
# @return [String]
attr_accessor :pornography_likelihood
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@pornography_likelihood = args[:pornography_likelihood] if args.key?(:pornography_likelihood)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1p3beta1FaceAnnotation
include Google::Apis::Core::Hashable
# All video frames where a face was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1FaceFrame>]
attr_accessor :frames
# All video segments where a face was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1FaceSegment>]
attr_accessor :segments
# Thumbnail of a representative face view (in JPEG format).
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
end
end
# Face detection annotation.
class GoogleCloudVideointelligenceV1p3beta1FaceDetectionAnnotation
include Google::Apis::Core::Hashable
# The thumbnail of a person's face.
# Corresponds to the JSON property `thumbnail`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :thumbnail
# The face tracks with attributes.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@thumbnail = args[:thumbnail] if args.key?(:thumbnail)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# Deprecated. No effect.
class GoogleCloudVideointelligenceV1p3beta1FaceFrame
include Google::Apis::Core::Hashable
# Normalized Bounding boxes in a frame. There can be more than one boxes if the
# same face is detected in multiple locations within the current frame.
# Corresponds to the JSON property `normalizedBoundingBoxes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox>]
attr_accessor :normalized_bounding_boxes
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_boxes = args[:normalized_bounding_boxes] if args.key?(:normalized_bounding_boxes)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for face detection.
class GoogleCloudVideointelligenceV1p3beta1FaceSegment
include Google::Apis::Core::Hashable
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segment = args[:segment] if args.key?(:segment)
end
end
# Label annotation.
class GoogleCloudVideointelligenceV1p3beta1LabelAnnotation
include Google::Apis::Core::Hashable
# Common categories for the detected entity. For example, when the label is `
# Terrier`, the category is likely `dog`. And in some cases there might be more
# than one categories e.g., `Terrier` could also be a `pet`.
# Corresponds to the JSON property `categoryEntities`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Entity>]
attr_accessor :category_entities
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Entity]
attr_accessor :entity
# All video frames where a label was detected.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelFrame>]
attr_accessor :frames
# All video segments where a label was detected.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelSegment>]
attr_accessor :segments
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@category_entities = args[:category_entities] if args.key?(:category_entities)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segments = args[:segments] if args.key?(:segments)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for label detection.
class GoogleCloudVideointelligenceV1p3beta1LabelFrame
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this location.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for label detection.
class GoogleCloudVideointelligenceV1p3beta1LabelSegment
include Google::Apis::Core::Hashable
# Confidence that the label is accurate. Range: [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
end
end
# Annotation corresponding to one detected, tracked and recognized logo class.
class GoogleCloudVideointelligenceV1p3beta1LogoRecognitionAnnotation
include Google::Apis::Core::Hashable
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Entity]
attr_accessor :entity
# All video segments where the recognized logo appears. There might be multiple
# instances of the same logo class appearing in one VideoSegment.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment>]
attr_accessor :segments
# All logo tracks where the recognized logo appears. Each track corresponds to
# one logo instance appearing in consecutive frames.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Track>]
attr_accessor :tracks
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@entity = args[:entity] if args.key?(:entity)
@segments = args[:segments] if args.key?(:segments)
@tracks = args[:tracks] if args.key?(:tracks)
end
end
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
class GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox
include Google::Apis::Core::Hashable
# Bottom Y coordinate.
# Corresponds to the JSON property `bottom`
# @return [Float]
attr_accessor :bottom
# Left X coordinate.
# Corresponds to the JSON property `left`
# @return [Float]
attr_accessor :left
# Right X coordinate.
# Corresponds to the JSON property `right`
# @return [Float]
attr_accessor :right
# Top Y coordinate.
# Corresponds to the JSON property `top`
# @return [Float]
attr_accessor :top
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bottom = args[:bottom] if args.key?(:bottom)
@left = args[:left] if args.key?(:left)
@right = args[:right] if args.key?(:right)
@top = args[:top] if args.key?(:top)
end
end
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
class GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingPoly
include Google::Apis::Core::Hashable
# Normalized vertices of the bounding polygon.
# Corresponds to the JSON property `vertices`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1NormalizedVertex>]
attr_accessor :vertices
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@vertices = args[:vertices] if args.key?(:vertices)
end
end
# A vertex represents a 2D point in the image. NOTE: the normalized vertex
# coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVideointelligenceV1p3beta1NormalizedVertex
include Google::Apis::Core::Hashable
# X coordinate.
# Corresponds to the JSON property `x`
# @return [Float]
attr_accessor :x
# Y coordinate.
# Corresponds to the JSON property `y`
# @return [Float]
attr_accessor :y
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@x = args[:x] if args.key?(:x)
@y = args[:y] if args.key?(:y)
end
end
# Annotations corresponding to one tracked object.
class GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation
include Google::Apis::Core::Hashable
# Object category's labeling confidence of this track.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Detected entity from video analysis.
# Corresponds to the JSON property `entity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Entity]
attr_accessor :entity
# Information corresponding to all frames where this object track appears. Non-
# streaming batch mode: it may be one or multiple ObjectTrackingFrame messages
# in frames. Streaming mode: it can only be one ObjectTrackingFrame message in
# frames.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1ObjectTrackingFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
# Streaming mode ONLY. In streaming mode, we do not know the end time of a
# tracked object before it is completed. Hence, there is no VideoSegment info
# returned. Instead, we provide a unique identifiable integer track_id so that
# the customers can correlate the results of the ongoing ObjectTrackAnnotation
# of the same track_id over time.
# Corresponds to the JSON property `trackId`
# @return [Fixnum]
attr_accessor :track_id
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@entity = args[:entity] if args.key?(:entity)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
@track_id = args[:track_id] if args.key?(:track_id)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotations for object detection and tracking. This field
# stores per frame location, time offset, and confidence.
class GoogleCloudVideointelligenceV1p3beta1ObjectTrackingFrame
include Google::Apis::Core::Hashable
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# The timestamp of the frame in microseconds.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Person detection annotation per video.
class GoogleCloudVideointelligenceV1p3beta1PersonDetectionAnnotation
include Google::Apis::Core::Hashable
# The detected tracks of a person.
# Corresponds to the JSON property `tracks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Track>]
attr_accessor :tracks
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@tracks = args[:tracks] if args.key?(:tracks)
@version = args[:version] if args.key?(:version)
end
end
# The recognized celebrity with confidence score.
class GoogleCloudVideointelligenceV1p3beta1RecognizedCelebrity
include Google::Apis::Core::Hashable
# Celebrity definition.
# Corresponds to the JSON property `celebrity`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1Celebrity]
attr_accessor :celebrity
# Recognition confidence. Range [0, 1].
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@celebrity = args[:celebrity] if args.key?(:celebrity)
@confidence = args[:confidence] if args.key?(:confidence)
end
end
# Alternative hypotheses (a.k.a. n-best list).
class GoogleCloudVideointelligenceV1p3beta1SpeechRecognitionAlternative
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Transcript text representing the words that the user spoke.
# Corresponds to the JSON property `transcript`
# @return [String]
attr_accessor :transcript
# Output only. A list of word-specific information for each recognized word.
# Note: When `enable_speaker_diarization` is set to true, you will see all the
# words from the beginning of the audio.
# Corresponds to the JSON property `words`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1WordInfo>]
attr_accessor :words
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@transcript = args[:transcript] if args.key?(:transcript)
@words = args[:words] if args.key?(:words)
end
end
# A speech recognition result corresponding to a portion of the audio.
class GoogleCloudVideointelligenceV1p3beta1SpeechTranscription
include Google::Apis::Core::Hashable
# May contain one or more recognition hypotheses (up to the maximum specified in
# `max_alternatives`). These alternatives are ordered in terms of accuracy, with
# the top (first) alternative being the most probable, as ranked by the
# recognizer.
# Corresponds to the JSON property `alternatives`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1SpeechRecognitionAlternative>]
attr_accessor :alternatives
# Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
# language tag of the language in this result. This language code was detected
# to have the most likelihood of being spoken in the audio.
# Corresponds to the JSON property `languageCode`
# @return [String]
attr_accessor :language_code
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@alternatives = args[:alternatives] if args.key?(:alternatives)
@language_code = args[:language_code] if args.key?(:language_code)
end
end
# `StreamingAnnotateVideoResponse` is the only message returned to the client by
# `StreamingAnnotateVideo`. A series of zero or more `
# StreamingAnnotateVideoResponse` messages are streamed back to the client.
class GoogleCloudVideointelligenceV1p3beta1StreamingAnnotateVideoResponse
include Google::Apis::Core::Hashable
# Streaming annotation results corresponding to a portion of the video that is
# currently being processed. Only ONE type of annotation will be specified in
# the response.
# Corresponds to the JSON property `annotationResults`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1StreamingVideoAnnotationResults]
attr_accessor :annotation_results
# Google Cloud Storage URI that stores annotation results of one streaming
# session in JSON format. It is the annotation_result_storage_directory from the
# request followed by '/cloud_project_number-session_id'.
# Corresponds to the JSON property `annotationResultsUri`
# @return [String]
attr_accessor :annotation_results_uri
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@annotation_results = args[:annotation_results] if args.key?(:annotation_results)
@annotation_results_uri = args[:annotation_results_uri] if args.key?(:annotation_results_uri)
@error = args[:error] if args.key?(:error)
end
end
# Streaming annotation results corresponding to a portion of the video that is
# currently being processed. Only ONE type of annotation will be specified in
# the response.
class GoogleCloudVideointelligenceV1p3beta1StreamingVideoAnnotationResults
include Google::Apis::Core::Hashable
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
# Corresponds to the JSON property `explicitAnnotation`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation]
attr_accessor :explicit_annotation
# Timestamp of the processed frame in microseconds.
# Corresponds to the JSON property `frameTimestamp`
# @return [String]
attr_accessor :frame_timestamp
# Label annotation results.
# Corresponds to the JSON property `labelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>]
attr_accessor :label_annotations
# Object tracking results.
# Corresponds to the JSON property `objectAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation>]
attr_accessor :object_annotations
# Shot annotation results. Each shot is represented as a video segment.
# Corresponds to the JSON property `shotAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment>]
attr_accessor :shot_annotations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
@frame_timestamp = args[:frame_timestamp] if args.key?(:frame_timestamp)
@label_annotations = args[:label_annotations] if args.key?(:label_annotations)
@object_annotations = args[:object_annotations] if args.key?(:object_annotations)
@shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
end
end
# Annotations related to one detected OCR text snippet. This will contain the
# corresponding text, confidence value, and frame level information for each
# detection.
class GoogleCloudVideointelligenceV1p3beta1TextAnnotation
include Google::Apis::Core::Hashable
# All video segments where OCR detected text appears.
# Corresponds to the JSON property `segments`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1TextSegment>]
attr_accessor :segments
# The detected text.
# Corresponds to the JSON property `text`
# @return [String]
attr_accessor :text
# Feature version.
# Corresponds to the JSON property `version`
# @return [String]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@segments = args[:segments] if args.key?(:segments)
@text = args[:text] if args.key?(:text)
@version = args[:version] if args.key?(:version)
end
end
# Video frame level annotation results for text annotation (OCR). Contains
# information regarding timestamp and bounding box locations for the frames
# containing detected OCR text snippets.
class GoogleCloudVideointelligenceV1p3beta1TextFrame
include Google::Apis::Core::Hashable
# Normalized bounding polygon for text (that might not be aligned with axis).
# Contains list of the corner points in clockwise order starting from top-left
# corner. For example, for a rectangular bounding box: When the text is
# horizontal it might look like: 0----1 | | 3----2 When it's clockwise rotated
# 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the
# vertex order will still be (0, 1, 2, 3). Note that values can be less than 0,
# or greater than 1 due to trignometric calculations for location of the box.
# Corresponds to the JSON property `rotatedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingPoly]
attr_accessor :rotated_bounding_box
# Timestamp of this frame.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@rotated_bounding_box = args[:rotated_bounding_box] if args.key?(:rotated_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# Video segment level annotation results for text detection.
class GoogleCloudVideointelligenceV1p3beta1TextSegment
include Google::Apis::Core::Hashable
# Confidence for the track of detected text. It is calculated as the highest
# over all frames where OCR detected text appears.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Information related to the frames where OCR detected text appears.
# Corresponds to the JSON property `frames`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1TextFrame>]
attr_accessor :frames
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@frames = args[:frames] if args.key?(:frames)
@segment = args[:segment] if args.key?(:segment)
end
end
# For tracking related features. An object at time_offset with attributes, and
# located with normalized_bounding_box.
class GoogleCloudVideointelligenceV1p3beta1TimestampedObject
include Google::Apis::Core::Hashable
# Optional. The attributes of the object in the bounding box.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1DetectedAttribute>]
attr_accessor :attributes
# Optional. The detected landmarks.
# Corresponds to the JSON property `landmarks`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1DetectedLandmark>]
attr_accessor :landmarks
# Normalized bounding box. The normalized vertex coordinates are relative to the
# original image. Range: [0, 1].
# Corresponds to the JSON property `normalizedBoundingBox`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox]
attr_accessor :normalized_bounding_box
# Time-offset, relative to the beginning of the video, corresponding to the
# video frame for this object.
# Corresponds to the JSON property `timeOffset`
# @return [String]
attr_accessor :time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@landmarks = args[:landmarks] if args.key?(:landmarks)
@normalized_bounding_box = args[:normalized_bounding_box] if args.key?(:normalized_bounding_box)
@time_offset = args[:time_offset] if args.key?(:time_offset)
end
end
# A track of an object instance.
class GoogleCloudVideointelligenceV1p3beta1Track
include Google::Apis::Core::Hashable
# Optional. Attributes in the track level.
# Corresponds to the JSON property `attributes`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1DetectedAttribute>]
attr_accessor :attributes
# Optional. The confidence score of the tracked object.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
# The object with timestamp and attributes per frame in the track.
# Corresponds to the JSON property `timestampedObjects`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1TimestampedObject>]
attr_accessor :timestamped_objects
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@attributes = args[:attributes] if args.key?(:attributes)
@confidence = args[:confidence] if args.key?(:confidence)
@segment = args[:segment] if args.key?(:segment)
@timestamped_objects = args[:timestamped_objects] if args.key?(:timestamped_objects)
end
end
# Annotation progress for a single video.
class GoogleCloudVideointelligenceV1p3beta1VideoAnnotationProgress
include Google::Apis::Core::Hashable
# Specifies which feature is being tracked if the request contains more than one
# feature.
# Corresponds to the JSON property `feature`
# @return [String]
attr_accessor :feature
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Approximate percentage processed thus far. Guaranteed to be 100 when fully
# processed.
# Corresponds to the JSON property `progressPercent`
# @return [Fixnum]
attr_accessor :progress_percent
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
# Time when the request was received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# Time of the most recent update.
# Corresponds to the JSON property `updateTime`
# @return [String]
attr_accessor :update_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@feature = args[:feature] if args.key?(:feature)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@progress_percent = args[:progress_percent] if args.key?(:progress_percent)
@segment = args[:segment] if args.key?(:segment)
@start_time = args[:start_time] if args.key?(:start_time)
@update_time = args[:update_time] if args.key?(:update_time)
end
end
# Annotation results for a single video.
class GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults
include Google::Apis::Core::Hashable
# Celebrity recognition annotation per video.
# Corresponds to the JSON property `celebrityRecognitionAnnotations`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1CelebrityRecognitionAnnotation]
attr_accessor :celebrity_recognition_annotations
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
# Explicit content annotation (based on per-frame visual signals only). If no
# explicit content has been detected in a frame, no annotations are present for
# that frame.
# Corresponds to the JSON property `explicitAnnotation`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation]
attr_accessor :explicit_annotation
# Deprecated. Please use `face_detection_annotations` instead.
# Corresponds to the JSON property `faceAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1FaceAnnotation>]
attr_accessor :face_annotations
# Face detection annotations.
# Corresponds to the JSON property `faceDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1FaceDetectionAnnotation>]
attr_accessor :face_detection_annotations
# Label annotations on frame level. There is exactly one element for each unique
# label.
# Corresponds to the JSON property `frameLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>]
attr_accessor :frame_label_annotations
# Video file location in [Cloud Storage](https://cloud.google.com/storage/).
# Corresponds to the JSON property `inputUri`
# @return [String]
attr_accessor :input_uri
# Annotations for list of logos detected, tracked and recognized in video.
# Corresponds to the JSON property `logoRecognitionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LogoRecognitionAnnotation>]
attr_accessor :logo_recognition_annotations
# Annotations for list of objects detected and tracked in video.
# Corresponds to the JSON property `objectAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation>]
attr_accessor :object_annotations
# Person detection annotations.
# Corresponds to the JSON property `personDetectionAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1PersonDetectionAnnotation>]
attr_accessor :person_detection_annotations
# Video segment.
# Corresponds to the JSON property `segment`
# @return [Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment]
attr_accessor :segment
# Topical label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label.
# Corresponds to the JSON property `segmentLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>]
attr_accessor :segment_label_annotations
# Presence label annotations on video level or user-specified segment level.
# There is exactly one element for each unique label. Compared to the existing
# topical `segment_label_annotations`, this field presents more fine-grained,
# segment-level labels detected in video content and is made available only when
# the client sets `LabelDetectionConfig.model` to "builtin/latest" in the
# request.
# Corresponds to the JSON property `segmentPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>]
attr_accessor :segment_presence_label_annotations
# Shot annotations. Each shot is represented as a video segment.
# Corresponds to the JSON property `shotAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1VideoSegment>]
attr_accessor :shot_annotations
# Topical label annotations on shot level. There is exactly one element for each
# unique label.
# Corresponds to the JSON property `shotLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>]
attr_accessor :shot_label_annotations
# Presence label annotations on shot level. There is exactly one element for
# each unique label. Compared to the existing topical `shot_label_annotations`,
# this field presents more fine-grained, shot-level labels detected in video
# content and is made available only when the client sets `LabelDetectionConfig.
# model` to "builtin/latest" in the request.
# Corresponds to the JSON property `shotPresenceLabelAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1LabelAnnotation>]
attr_accessor :shot_presence_label_annotations
# Speech transcription.
# Corresponds to the JSON property `speechTranscriptions`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1SpeechTranscription>]
attr_accessor :speech_transcriptions
# OCR text detection and tracking. Annotations for list of detected text
# snippets. Each will have list of frame information associated with it.
# Corresponds to the JSON property `textAnnotations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleCloudVideointelligenceV1p3beta1TextAnnotation>]
attr_accessor :text_annotations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@celebrity_recognition_annotations = args[:celebrity_recognition_annotations] if args.key?(:celebrity_recognition_annotations)
@error = args[:error] if args.key?(:error)
@explicit_annotation = args[:explicit_annotation] if args.key?(:explicit_annotation)
@face_annotations = args[:face_annotations] if args.key?(:face_annotations)
@face_detection_annotations = args[:face_detection_annotations] if args.key?(:face_detection_annotations)
@frame_label_annotations = args[:frame_label_annotations] if args.key?(:frame_label_annotations)
@input_uri = args[:input_uri] if args.key?(:input_uri)
@logo_recognition_annotations = args[:logo_recognition_annotations] if args.key?(:logo_recognition_annotations)
@object_annotations = args[:object_annotations] if args.key?(:object_annotations)
@person_detection_annotations = args[:person_detection_annotations] if args.key?(:person_detection_annotations)
@segment = args[:segment] if args.key?(:segment)
@segment_label_annotations = args[:segment_label_annotations] if args.key?(:segment_label_annotations)
@segment_presence_label_annotations = args[:segment_presence_label_annotations] if args.key?(:segment_presence_label_annotations)
@shot_annotations = args[:shot_annotations] if args.key?(:shot_annotations)
@shot_label_annotations = args[:shot_label_annotations] if args.key?(:shot_label_annotations)
@shot_presence_label_annotations = args[:shot_presence_label_annotations] if args.key?(:shot_presence_label_annotations)
@speech_transcriptions = args[:speech_transcriptions] if args.key?(:speech_transcriptions)
@text_annotations = args[:text_annotations] if args.key?(:text_annotations)
end
end
# Video segment.
class GoogleCloudVideointelligenceV1p3beta1VideoSegment
include Google::Apis::Core::Hashable
# Time-offset, relative to the beginning of the video, corresponding to the end
# of the segment (inclusive).
# Corresponds to the JSON property `endTimeOffset`
# @return [String]
attr_accessor :end_time_offset
# Time-offset, relative to the beginning of the video, corresponding to the
# start of the segment (inclusive).
# Corresponds to the JSON property `startTimeOffset`
# @return [String]
attr_accessor :start_time_offset
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_time_offset = args[:end_time_offset] if args.key?(:end_time_offset)
@start_time_offset = args[:start_time_offset] if args.key?(:start_time_offset)
end
end
# Word-specific information for recognized words. Word information is only
# included in the response when certain request parameters are set, such as `
# enable_word_time_offsets`.
class GoogleCloudVideointelligenceV1p3beta1WordInfo
include Google::Apis::Core::Hashable
# Output only. The confidence estimate between 0.0 and 1.0. A higher number
# indicates an estimated greater likelihood that the recognized words are
# correct. This field is set only for the top alternative. This field is not
# guaranteed to be accurate and users should not rely on it to be always
# provided. The default of 0.0 is a sentinel value indicating `confidence` was
# not set.
# Corresponds to the JSON property `confidence`
# @return [Float]
attr_accessor :confidence
# Time offset relative to the beginning of the audio, and corresponding to the
# end of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# Output only. A distinct integer value is assigned for every speaker within the
# audio. This field specifies which one of those speakers was detected to have
# spoken this word. Value ranges from 1 up to diarization_speaker_count, and is
# only set if speaker diarization is enabled.
# Corresponds to the JSON property `speakerTag`
# @return [Fixnum]
attr_accessor :speaker_tag
# Time offset relative to the beginning of the audio, and corresponding to the
# start of the spoken word. This field is only set if `enable_word_time_offsets=
# true` and only in the top hypothesis. This is an experimental feature and the
# accuracy of the time offset can vary.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
# The word corresponding to this set of information.
# Corresponds to the JSON property `word`
# @return [String]
attr_accessor :word
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@confidence = args[:confidence] if args.key?(:confidence)
@end_time = args[:end_time] if args.key?(:end_time)
@speaker_tag = args[:speaker_tag] if args.key?(:speaker_tag)
@start_time = args[:start_time] if args.key?(:start_time)
@word = args[:word] if args.key?(:word)
end
end
# The request message for Operations.CancelOperation.
class GoogleLongrunningCancelOperationRequest
include Google::Apis::Core::Hashable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
end
end
# The response message for Operations.ListOperations.
class GoogleLongrunningListOperationsResponse
include Google::Apis::Core::Hashable
# The standard List next-page token.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# A list of operations that matches the specified filter in the request.
# Corresponds to the JSON property `operations`
# @return [Array<Google::Apis::VideointelligenceV1::GoogleLongrunningOperation>]
attr_accessor :operations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
@operations = args[:operations] if args.key?(:operations)
end
end
# This resource represents a long-running operation that is the result of a
# network API call.
class GoogleLongrunningOperation
include Google::Apis::Core::Hashable
# If the value is `false`, it means the operation is still in progress. If `true`
# , the operation is completed, and either `error` or `response` is available.
# Corresponds to the JSON property `done`
# @return [Boolean]
attr_accessor :done
alias_method :done?, :done
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::VideointelligenceV1::GoogleRpcStatus]
attr_accessor :error
# Service-specific metadata associated with the operation. It typically contains
# progress information and common metadata such as create time. Some services
# might not provide such metadata. Any method that returns a long-running
# operation should document the metadata type, if any.
# Corresponds to the JSON property `metadata`
# @return [Hash<String,Object>]
attr_accessor :metadata
# The server-assigned name, which is only unique within the same service that
# originally returns it. If you use the default HTTP mapping, the `name` should
# be a resource name ending with `operations/`unique_id``.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# The normal response of the operation in case of success. If the original
# method returns no data on success, such as `Delete`, the response is `google.
# protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`,
# the response should be the resource. For other methods, the response should
# have the type `XxxResponse`, where `Xxx` is the original method name. For
# example, if the original method name is `TakeSnapshot()`, the inferred
# response type is `TakeSnapshotResponse`.
# Corresponds to the JSON property `response`
# @return [Hash<String,Object>]
attr_accessor :response
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@done = args[:done] if args.key?(:done)
@error = args[:error] if args.key?(:error)
@metadata = args[:metadata] if args.key?(:metadata)
@name = args[:name] if args.key?(:name)
@response = args[:response] if args.key?(:response)
end
end
# A generic empty message that you can re-use to avoid defining duplicated empty
# messages in your APIs. A typical example is to use it as the request or the
# response type of an API method. For instance: service Foo ` rpc Bar(google.
# protobuf.Empty) returns (google.protobuf.Empty); ` The JSON representation for
# `Empty` is empty JSON object ````.
class GoogleProtobufEmpty
include Google::Apis::Core::Hashable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
end
end
# The `Status` type defines a logical error model that is suitable for different
# programming environments, including REST APIs and RPC APIs. It is used by [
# gRPC](https://github.com/grpc). Each `Status` message contains three pieces of
# data: error code, error message, and error details. You can find out more
# about this error model and how to work with it in the [API Design Guide](https:
# //cloud.google.com/apis/design/errors).
class GoogleRpcStatus
include Google::Apis::Core::Hashable
# The status code, which should be an enum value of google.rpc.Code.
# Corresponds to the JSON property `code`
# @return [Fixnum]
attr_accessor :code
# A list of messages that carry the error details. There is a common set of
# message types for APIs to use.
# Corresponds to the JSON property `details`
# @return [Array<Hash<String,Object>>]
attr_accessor :details
# A developer-facing error message, which should be in English. Any user-facing
# error message should be localized and sent in the google.rpc.Status.details
# field, or localized by the client.
# Corresponds to the JSON property `message`
# @return [String]
attr_accessor :message
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@code = args[:code] if args.key?(:code)
@details = args[:details] if args.key?(:details)
@message = args[:message] if args.key?(:message)
end
end
end
end
end
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