You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
237 lines
12 KiB
237 lines
12 KiB
type: com.google.api.codegen.ConfigProto |
|
config_schema_version: 1.0.0 |
|
language_settings: |
|
java: |
|
package_name: com.google.cloud.videointelligence.v1p3beta1 |
|
python: |
|
package_name: google.cloud.videointelligence_v1p3beta1.gapic |
|
go: |
|
package_name: cloud.google.com/go/videointelligence/apiv1p3beta1 |
|
csharp: |
|
package_name: Google.Cloud.VideoIntelligence.V1P3Beta1 |
|
ruby: |
|
package_name: Google::Cloud::VideoIntelligence::V1p3beta1 |
|
release_level: BETA |
|
php: |
|
package_name: Google\Cloud\VideoIntelligence\V1p3beta1 |
|
nodejs: |
|
package_name: video-intelligence.v1p3beta1 |
|
domain_layer_location: google-cloud |
|
interfaces: |
|
- name: google.cloud.videointelligence.v1p3beta1.VideoIntelligenceService |
|
smoke_test: |
|
method: AnnotateVideo |
|
init_fields: |
|
- input_uri=gs://cloud-samples-data/video/cat.mp4 |
|
- features[0]=LABEL_DETECTION |
|
collections: [] |
|
retry_codes_def: |
|
- name: idempotent |
|
retry_codes: |
|
- UNAVAILABLE |
|
- DEADLINE_EXCEEDED |
|
- name: non_idempotent |
|
retry_codes: [] |
|
retry_params_def: |
|
- name: default |
|
initial_retry_delay_millis: 1000 |
|
retry_delay_multiplier: 2.5 |
|
max_retry_delay_millis: 120000 |
|
initial_rpc_timeout_millis: 120000 |
|
rpc_timeout_multiplier: 1 |
|
max_rpc_timeout_millis: 120000 |
|
total_timeout_millis: 600000 |
|
methods: |
|
- name: AnnotateVideo |
|
flattening: |
|
groups: |
|
- parameters: |
|
- input_uri |
|
- features |
|
long_running: |
|
return_type: google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse |
|
metadata_type: google.cloud.videointelligence.v1p3beta1.AnnotateVideoProgress |
|
initial_poll_delay_millis: 20000 |
|
poll_delay_multiplier: 1.5 |
|
max_poll_delay_millis: 45000 |
|
total_poll_timeout_millis: 86400000 |
|
retry_codes_name: idempotent |
|
retry_params_name: default |
|
timeout_millis: 60000 |
|
sample_code_init_fields: |
|
- input_uri=gs://cloud-samples-data/video/cat.mp4 |
|
- features[0]=LABEL_DETECTION |
|
samples: |
|
standalone: |
|
- region_tag: video_detect_logo_beta |
|
value_sets: [video_detect_logo_beta] |
|
- region_tag: video_detect_logo_gcs_beta |
|
value_sets: [video_detect_logo_gcs_beta] |
|
sample_value_sets: |
|
- id: video_detect_logo_beta |
|
description: "Performs asynchronous video annotation for logo recognition from inline video content." |
|
parameters: |
|
defaults: |
|
- input_content="resources/googlework_short.mp4" |
|
- features[0]=LOGO_RECOGNITION |
|
attributes: |
|
- parameter: input_content |
|
sample_argument_name: local_file_path |
|
read_file: true |
|
description: Path to local video file, e.g. /path/video.mp4 |
|
on_success: |
|
- comment: ["Get the first response, since we sent only one video."] |
|
- define: annotation_result=$resp.annotation_results[0] |
|
- comment: ["Annotations for list of logos detected, tracked and recognized in video."] |
|
- loop: |
|
collection: annotation_result.logo_recognition_annotations |
|
variable: logo_recognition_annotation |
|
body: |
|
- define: entity=logo_recognition_annotation.entity |
|
- comment: ["Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/)."] |
|
- print: ["Entity Id : %s", entity.entity_id] |
|
- comment: ["Textual description, e.g. `Google`."] |
|
- print: ["Description : %s", entity.description] |
|
- comment: ["All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames."] |
|
- loop: |
|
collection: logo_recognition_annotation.tracks |
|
variable: track |
|
body: |
|
- comment: ["Video segment of a track."] |
|
- define: segment=track.segment |
|
- define: segment_start_time_offset=segment.start_time_offset |
|
- print: ["\n\tStart Time Offset : %s.%s", segment_start_time_offset.seconds, segment_start_time_offset.nanos] |
|
- define: segment_end_time_offset=segment.end_time_offset |
|
- print: ["\tEnd Time Offset : %s.%s", segment_end_time_offset.seconds, segment_end_time_offset.nanos] |
|
- print: ["\tConfidence : %s", track.confidence] |
|
- comment: ["The object with timestamp and attributes per frame in the track."] |
|
- loop: |
|
collection: track.timestamped_objects |
|
variable: timestamped_object |
|
body: |
|
- comment: ["Normalized Bounding box in a frame, where the object is located."] |
|
- define: normalized_bounding_box=timestamped_object.normalized_bounding_box |
|
- print: ["\n\t\tLeft : %s", normalized_bounding_box.left] |
|
- print: ["\t\tTop : %s", normalized_bounding_box.top] |
|
- print: ["\t\tRight : %s", normalized_bounding_box.right] |
|
- print: ["\t\tBottom : %s", normalized_bounding_box.bottom] |
|
- comment: ["Optional. The attributes of the object in the bounding box."] |
|
- loop: |
|
collection: timestamped_object.attributes |
|
variable: attribute |
|
body: |
|
- print: ["\n\t\t\tName : %s", attribute.name] |
|
- print: ["\t\t\tConfidence : %s", attribute.confidence] |
|
- print: ["\t\t\tValue : %s", attribute.value] |
|
- comment: ["Optional. Attributes in the track level."] |
|
- loop: |
|
collection: track.attributes |
|
variable: track_attribute |
|
body: |
|
- print: ["\n\t\tName : %s", track_attribute.name] |
|
- print: ["\t\tConfidence : %s", track_attribute.confidence] |
|
- print: ["\t\tValue : %s", track_attribute.value] |
|
- comment: ["All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment."] |
|
- loop: |
|
collection: logo_recognition_annotation.segments |
|
variable: logo_recognition_annotation_segment |
|
body: |
|
- define: logo_recognition_annotation_segment_start_time_offset=logo_recognition_annotation_segment.start_time_offset |
|
- print: ["\n\tStart Time Offset : %s.%s", logo_recognition_annotation_segment_start_time_offset.seconds, logo_recognition_annotation_segment_start_time_offset.nanos] |
|
- define: logo_recognition_annotation_segment_end_time_offset=logo_recognition_annotation_segment.end_time_offset |
|
- print: ["\tEnd Time Offset : %s.%s", logo_recognition_annotation_segment_end_time_offset.seconds, logo_recognition_annotation_segment_end_time_offset.nanos] |
|
- id: video_detect_logo_gcs_beta |
|
description: "Performs asynchronous video annotation for logo recognition on a file hosted in GCS." |
|
parameters: |
|
defaults: |
|
- input_uri=gs://cloud-samples-data/video/googlework_short.mp4 |
|
- features[0]=LOGO_RECOGNITION |
|
on_success: |
|
- comment: ["Get the first response, since we sent only one video."] |
|
- define: annotation_result=$resp.annotation_results[0] |
|
- comment: ["Annotations for list of logos detected, tracked and recognized in video."] |
|
- loop: |
|
collection: annotation_result.logo_recognition_annotations |
|
variable: logo_recognition_annotation |
|
body: |
|
- define: entity=logo_recognition_annotation.entity |
|
- comment: ["Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/)."] |
|
- print: ["Entity Id : %s", entity.entity_id] |
|
- comment: ["Textual description, e.g. `Google`."] |
|
- print: ["Description : %s", entity.description] |
|
- comment: ["All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames."] |
|
- loop: |
|
collection: logo_recognition_annotation.tracks |
|
variable: track |
|
body: |
|
- comment: ["Video segment of a track."] |
|
- define: segment=track.segment |
|
- define: segment_start_time_offset=segment.start_time_offset |
|
- print: ["\n\tStart Time Offset : %s.%s", segment_start_time_offset.seconds, segment_start_time_offset.nanos] |
|
- define: segment_end_time_offset=segment.end_time_offset |
|
- print: ["\tEnd Time Offset : %s.%s", segment_end_time_offset.seconds, segment_end_time_offset.nanos] |
|
- print: ["\tConfidence : %s", track.confidence] |
|
- comment: ["The object with timestamp and attributes per frame in the track."] |
|
- loop: |
|
collection: track.timestamped_objects |
|
variable: timestamped_object |
|
body: |
|
- comment: ["Normalized Bounding box in a frame, where the object is located."] |
|
- define: normalized_bounding_box=timestamped_object.normalized_bounding_box |
|
- print: ["\n\t\tLeft : %s", normalized_bounding_box.left] |
|
- print: ["\t\tTop : %s", normalized_bounding_box.top] |
|
- print: ["\t\tRight : %s", normalized_bounding_box.right] |
|
- print: ["\t\tBottom : %s", normalized_bounding_box.bottom] |
|
- comment: ["Optional. The attributes of the object in the bounding box."] |
|
- loop: |
|
collection: timestamped_object.attributes |
|
variable: attribute |
|
body: |
|
- print: ["\n\t\t\tName : %s", attribute.name] |
|
- print: ["\t\t\tConfidence : %s", attribute.confidence] |
|
- print: ["\t\t\tValue : %s", attribute.value] |
|
- comment: ["Optional. Attributes in the track level."] |
|
- loop: |
|
collection: track.attributes |
|
variable: track_attribute |
|
body: |
|
- print: ["\n\t\tName : %s", track_attribute.name] |
|
- print: ["\t\tConfidence : %s", track_attribute.confidence] |
|
- print: ["\t\tValue : %s", track_attribute.value] |
|
- comment: ["All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment."] |
|
- loop: |
|
collection: logo_recognition_annotation.segments |
|
variable: logo_recognition_annotation_segment |
|
body: |
|
- define: logo_recognition_annotation_segment_start_time_offset=logo_recognition_annotation_segment.start_time_offset |
|
- print: ["\n\tStart Time Offset : %s.%s", logo_recognition_annotation_segment_start_time_offset.seconds, logo_recognition_annotation_segment_start_time_offset.nanos] |
|
- define: logo_recognition_annotation_segment_end_time_offset=logo_recognition_annotation_segment.end_time_offset |
|
- print: ["\tEnd Time Offset : %s.%s", logo_recognition_annotation_segment_end_time_offset.seconds, logo_recognition_annotation_segment_end_time_offset.nanos] |
|
# TODO: This config is currently broken: |
|
# https://github.com/googleapis/gapic-generator/issues/1057 |
|
# https://github.com/googleapis/gapic-generator/issues/1149 |
|
- name: google.cloud.videointelligence.v1p3beta1.StreamingVideoIntelligenceService |
|
collections: [] |
|
# Definition for retryable codes. |
|
retry_codes_def: |
|
- name: idempotent |
|
retry_codes: |
|
- UNAVAILABLE |
|
- DEADLINE_EXCEEDED |
|
- name: non_idempotent |
|
retry_codes: [] |
|
# Definition for retry/backoff parameters. |
|
retry_params_def: |
|
- name: default |
|
initial_retry_delay_millis: 100 |
|
retry_delay_multiplier: 1.3 |
|
max_retry_delay_millis: 60000 |
|
initial_rpc_timeout_millis: 10800000 |
|
rpc_timeout_multiplier: 1 |
|
max_rpc_timeout_millis: 10800000 |
|
total_timeout_millis: 10800000 |
|
methods: |
|
- name: StreamingAnnotateVideo |
|
retry_codes_name: idempotent |
|
retry_params_name: default |
|
timeout_millis: 10800000
|
|
|