chore: enable gapicv2 for videointelligence/v1p3beta1
Committer: @miraleung PiperOrigin-RevId: 305155214
This commit is contained in:
parent
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type: com.google.api.codegen.ConfigProto
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config_schema_version: 1.0.0
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language_settings:
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java:
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package_name: com.google.cloud.videointelligence.v1p3beta1
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python:
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package_name: google.cloud.videointelligence_v1p3beta1.gapic
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go:
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package_name: cloud.google.com/go/videointelligence/apiv1p3beta1
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csharp:
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package_name: Google.Cloud.VideoIntelligence.V1P3Beta1
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ruby:
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package_name: Google::Cloud::VideoIntelligence::V1p3beta1
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release_level: BETA
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php:
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package_name: Google\Cloud\VideoIntelligence\V1p3beta1
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nodejs:
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package_name: video-intelligence.v1p3beta1
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domain_layer_location: google-cloud
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interfaces:
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- name: google.cloud.videointelligence.v1p3beta1.VideoIntelligenceService
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smoke_test:
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method: AnnotateVideo
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init_fields:
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- input_uri=gs://cloud-samples-data/video/cat.mp4
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- features[0]=LABEL_DETECTION
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collections: []
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retry_codes_def:
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- name: idempotent
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retry_codes:
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- UNAVAILABLE
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- DEADLINE_EXCEEDED
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- name: non_idempotent
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retry_codes: []
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retry_params_def:
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- name: default
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initial_retry_delay_millis: 1000
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retry_delay_multiplier: 2.5
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max_retry_delay_millis: 120000
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initial_rpc_timeout_millis: 120000
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rpc_timeout_multiplier: 1
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max_rpc_timeout_millis: 120000
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total_timeout_millis: 600000
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methods:
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- name: AnnotateVideo
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flattening:
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groups:
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- parameters:
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- input_uri
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- features
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long_running:
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return_type: google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse
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metadata_type: google.cloud.videointelligence.v1p3beta1.AnnotateVideoProgress
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initial_poll_delay_millis: 20000
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poll_delay_multiplier: 1.5
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max_poll_delay_millis: 45000
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total_poll_timeout_millis: 86400000
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 60000
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sample_code_init_fields:
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- input_uri=gs://cloud-samples-data/video/cat.mp4
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- features[0]=LABEL_DETECTION
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samples:
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standalone:
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- region_tag: video_detect_logo_beta
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value_sets: [video_detect_logo_beta]
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- region_tag: video_detect_logo_gcs_beta
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value_sets: [video_detect_logo_gcs_beta]
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sample_value_sets:
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- id: video_detect_logo_beta
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description: "Performs asynchronous video annotation for logo recognition from inline video content."
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parameters:
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defaults:
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- input_content="resources/googlework_short.mp4"
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- features[0]=LOGO_RECOGNITION
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attributes:
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- parameter: input_content
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sample_argument_name: local_file_path
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read_file: true
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description: Path to local video file, e.g. /path/video.mp4
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on_success:
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- comment: ["Get the first response, since we sent only one video."]
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- define: annotation_result=$resp.annotation_results[0]
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- comment: ["Annotations for list of logos detected, tracked and recognized in video."]
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- loop:
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collection: annotation_result.logo_recognition_annotations
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variable: logo_recognition_annotation
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body:
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- define: entity=logo_recognition_annotation.entity
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- comment: ["Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/)."]
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- print: ["Entity Id : %s", entity.entity_id]
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- comment: ["Textual description, e.g. `Google`."]
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- print: ["Description : %s", entity.description]
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- comment: ["All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames."]
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- loop:
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collection: logo_recognition_annotation.tracks
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variable: track
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body:
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- comment: ["Video segment of a track."]
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- define: segment=track.segment
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- define: segment_start_time_offset=segment.start_time_offset
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- print: ["\n\tStart Time Offset : %s.%s", segment_start_time_offset.seconds, segment_start_time_offset.nanos]
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- define: segment_end_time_offset=segment.end_time_offset
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- print: ["\tEnd Time Offset : %s.%s", segment_end_time_offset.seconds, segment_end_time_offset.nanos]
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- print: ["\tConfidence : %s", track.confidence]
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- comment: ["The object with timestamp and attributes per frame in the track."]
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- loop:
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collection: track.timestamped_objects
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variable: timestamped_object
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body:
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- comment: ["Normalized Bounding box in a frame, where the object is located."]
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- define: normalized_bounding_box=timestamped_object.normalized_bounding_box
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- print: ["\n\t\tLeft : %s", normalized_bounding_box.left]
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- print: ["\t\tTop : %s", normalized_bounding_box.top]
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- print: ["\t\tRight : %s", normalized_bounding_box.right]
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- print: ["\t\tBottom : %s", normalized_bounding_box.bottom]
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- comment: ["Optional. The attributes of the object in the bounding box."]
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- loop:
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collection: timestamped_object.attributes
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variable: attribute
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body:
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- print: ["\n\t\t\tName : %s", attribute.name]
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- print: ["\t\t\tConfidence : %s", attribute.confidence]
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- print: ["\t\t\tValue : %s", attribute.value]
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- comment: ["Optional. Attributes in the track level."]
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- loop:
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collection: track.attributes
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variable: track_attribute
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body:
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- print: ["\n\t\tName : %s", track_attribute.name]
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- print: ["\t\tConfidence : %s", track_attribute.confidence]
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- print: ["\t\tValue : %s", track_attribute.value]
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- comment: ["All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment."]
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- loop:
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collection: logo_recognition_annotation.segments
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variable: logo_recognition_annotation_segment
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body:
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- define: logo_recognition_annotation_segment_start_time_offset=logo_recognition_annotation_segment.start_time_offset
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- print: ["\n\tStart Time Offset : %s.%s", logo_recognition_annotation_segment_start_time_offset.seconds, logo_recognition_annotation_segment_start_time_offset.nanos]
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- define: logo_recognition_annotation_segment_end_time_offset=logo_recognition_annotation_segment.end_time_offset
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- print: ["\tEnd Time Offset : %s.%s", logo_recognition_annotation_segment_end_time_offset.seconds, logo_recognition_annotation_segment_end_time_offset.nanos]
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- id: video_detect_logo_gcs_beta
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description: "Performs asynchronous video annotation for logo recognition on a file hosted in GCS."
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parameters:
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defaults:
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- input_uri=gs://cloud-samples-data/video/googlework_short.mp4
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- features[0]=LOGO_RECOGNITION
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on_success:
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- comment: ["Get the first response, since we sent only one video."]
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- define: annotation_result=$resp.annotation_results[0]
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- comment: ["Annotations for list of logos detected, tracked and recognized in video."]
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- loop:
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collection: annotation_result.logo_recognition_annotations
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variable: logo_recognition_annotation
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body:
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- define: entity=logo_recognition_annotation.entity
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- comment: ["Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/)."]
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- print: ["Entity Id : %s", entity.entity_id]
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- comment: ["Textual description, e.g. `Google`."]
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- print: ["Description : %s", entity.description]
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- comment: ["All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames."]
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- loop:
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collection: logo_recognition_annotation.tracks
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variable: track
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body:
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- comment: ["Video segment of a track."]
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- define: segment=track.segment
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- define: segment_start_time_offset=segment.start_time_offset
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- print: ["\n\tStart Time Offset : %s.%s", segment_start_time_offset.seconds, segment_start_time_offset.nanos]
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- define: segment_end_time_offset=segment.end_time_offset
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- print: ["\tEnd Time Offset : %s.%s", segment_end_time_offset.seconds, segment_end_time_offset.nanos]
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- print: ["\tConfidence : %s", track.confidence]
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- comment: ["The object with timestamp and attributes per frame in the track."]
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- loop:
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collection: track.timestamped_objects
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variable: timestamped_object
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body:
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- comment: ["Normalized Bounding box in a frame, where the object is located."]
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- define: normalized_bounding_box=timestamped_object.normalized_bounding_box
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- print: ["\n\t\tLeft : %s", normalized_bounding_box.left]
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- print: ["\t\tTop : %s", normalized_bounding_box.top]
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- print: ["\t\tRight : %s", normalized_bounding_box.right]
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- print: ["\t\tBottom : %s", normalized_bounding_box.bottom]
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- comment: ["Optional. The attributes of the object in the bounding box."]
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- loop:
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collection: timestamped_object.attributes
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variable: attribute
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body:
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- print: ["\n\t\t\tName : %s", attribute.name]
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- print: ["\t\t\tConfidence : %s", attribute.confidence]
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- print: ["\t\t\tValue : %s", attribute.value]
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- comment: ["Optional. Attributes in the track level."]
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- loop:
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collection: track.attributes
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variable: track_attribute
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body:
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- print: ["\n\t\tName : %s", track_attribute.name]
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- print: ["\t\tConfidence : %s", track_attribute.confidence]
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- print: ["\t\tValue : %s", track_attribute.value]
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- comment: ["All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment."]
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- loop:
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collection: logo_recognition_annotation.segments
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variable: logo_recognition_annotation_segment
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body:
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- define: logo_recognition_annotation_segment_start_time_offset=logo_recognition_annotation_segment.start_time_offset
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- print: ["\n\tStart Time Offset : %s.%s", logo_recognition_annotation_segment_start_time_offset.seconds, logo_recognition_annotation_segment_start_time_offset.nanos]
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- define: logo_recognition_annotation_segment_end_time_offset=logo_recognition_annotation_segment.end_time_offset
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- print: ["\tEnd Time Offset : %s.%s", logo_recognition_annotation_segment_end_time_offset.seconds, logo_recognition_annotation_segment_end_time_offset.nanos]
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# TODO: This config is currently broken:
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# https://github.com/googleapis/gapic-generator/issues/1057
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# https://github.com/googleapis/gapic-generator/issues/1149
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- name: google.cloud.videointelligence.v1p3beta1.StreamingVideoIntelligenceService
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collections: []
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# Definition for retryable codes.
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retry_codes_def:
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- name: idempotent
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retry_codes:
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- UNAVAILABLE
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- DEADLINE_EXCEEDED
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- name: non_idempotent
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retry_codes: []
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# Definition for retry/backoff parameters.
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retry_params_def:
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- name: default
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initial_retry_delay_millis: 100
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retry_delay_multiplier: 1.3
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max_retry_delay_millis: 60000
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initial_rpc_timeout_millis: 10800000
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rpc_timeout_multiplier: 1
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max_rpc_timeout_millis: 10800000
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total_timeout_millis: 10800000
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methods:
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- name: StreamingAnnotateVideo
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 10800000
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@ -1,5 +1,5 @@
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type: com.google.api.codegen.ConfigProto
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config_schema_version: 1.0.0
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config_schema_version: 2.0.0
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language_settings:
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java:
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package_name: com.google.cloud.videointelligence.v1p3beta1
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@ -24,14 +24,6 @@ interfaces:
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init_fields:
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- input_uri=gs://cloud-samples-data/video/cat.mp4
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- features[0]=LABEL_DETECTION
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collections: []
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retry_codes_def:
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- name: idempotent
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retry_codes:
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- UNAVAILABLE
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- DEADLINE_EXCEEDED
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- name: non_idempotent
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retry_codes: []
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retry_params_def:
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- name: default
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initial_retry_delay_millis: 1000
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@ -43,21 +35,13 @@ interfaces:
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total_timeout_millis: 600000
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methods:
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- name: AnnotateVideo
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flattening:
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groups:
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- parameters:
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- input_uri
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- features
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long_running:
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return_type: google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse
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metadata_type: google.cloud.videointelligence.v1p3beta1.AnnotateVideoProgress
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initial_poll_delay_millis: 20000
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poll_delay_multiplier: 1.5
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max_poll_delay_millis: 45000
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total_poll_timeout_millis: 86400000
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 60000
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sample_code_init_fields:
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- input_uri=gs://cloud-samples-data/video/cat.mp4
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- features[0]=LABEL_DETECTION
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@ -211,15 +195,6 @@ interfaces:
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# https://github.com/googleapis/gapic-generator/issues/1057
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# https://github.com/googleapis/gapic-generator/issues/1149
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- name: google.cloud.videointelligence.v1p3beta1.StreamingVideoIntelligenceService
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collections: []
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# Definition for retryable codes.
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retry_codes_def:
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- name: idempotent
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retry_codes:
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- UNAVAILABLE
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- DEADLINE_EXCEEDED
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- name: non_idempotent
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retry_codes: []
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# Definition for retry/backoff parameters.
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retry_params_def:
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- name: default
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@ -234,4 +209,3 @@ interfaces:
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- name: StreamingAnnotateVideo
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 10800000
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