"SrSSKJr SSKJr SSKJr SSKJr Sr "SS\R5r "S S \R5r "S S \R5r "S S\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS \R5r"S!S"\R5r"S#S$\R5r"S%S&\R5r"S'S(\R5r"S)S*\R5r"S+S,\R5r"S-S.\R5r"S/S0\R5r"S1S2\R5r "S3S4\R5r!"S5S6\R5r""S7S8\R5r#"S9S:\R5r$"S;S<\R5r%"S=S>\R5r&"S?S@\R5r'"SASB\R5r("SCSD\R5r)"SESF\R5r*"SGSH\R5r+"SISJ\R5r,"SKSL\R5r-"SMSN\R5r."SOSP\R5r/"SQSR\R5r0"SSST\R5r1"SUSV\R5r2"SWSX\R5r3"SYSZ\R5r4"S[S\\R5r5"S]S^\R5r6"S_S`\R5r7"SaSb\R5r8"ScSd\R5r9"SeSf\R5r:"SgSh\R5r;"SiSj\R5r<"SkSl\R5r="SmSn\R5r>"SoSp\R5r?"SqSr\R5r@"SsSt\R5rA"SuSv\R5rB"SwSx\R5rC"SySz\R5rD"S{S|\R5rE"S}S~\R5rF"SS\R5rG"SS\R5rH"SS\R5rI"SS\R5rJ"SS\R5rK"SS\R5rL"SS\R5rM"SS\R5rN"SS\R5rO"SS\R5rP"SS\R5rQ"SS\R5rR"SS\R5rS"SS\R5rT"SS\R5rU"SS\R5rV"SS\R5rW"SS\R5rX"SS\R5rY"SS\R5rZ"SS\R5r["SS\R5r\"SS\R5r]"SS\R5r^"SS\R5r_"SS\R5r`"SS\R5ra"SS\R5rb"SS\R5rc"SS\R5rd"SS\R5re"SS\R5rf"SS\R5rg"SS\R5rh"SS\R5ri"SS\R5rj"SS\R5rk"SS\R5rl"SS\R5rm"SS\R5rn"SS\R5ro"SS\R5rp"SS\R5rq"SS\R5rr"SS\R5rs"SS\R5rt"SS\R5ru"SS\R5rv"SS\R5rw"SS\R5rx"SS\R5ry"SS\R5rz"SS\R5r{"SS\R5r|"SS\R5r}"SS\R5r~"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SS\R5r"SGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GS GS \R5r"GS GS \R5r"GS GS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS \R5r"GS!GS"\R5r"GS#GS$\R5r"GS%GS&\R5r"GS'GS(\R5r"GS)GS*\R5r"GS+GS,\R5r"GS-GS.\R5r"GS/GS0\R5r"GS1GS2\R5r"GS3GS4\R5r"GS5GS6\R5r"GS7GS8\R5r"GS9GS:\R5r"GS;GS<\R5r"GS=GS>\R5r"GS?GS@\R5r"GSAGSB\R5r"GSCGSD\R5r"GSEGSF\R5r"GSGGSH\R5r"GSIGSJ\R5r"GSKGSL\R5r"GSMGSN\R5r"GSOGSP\R5r"GSQGSR\R5r"GSSGST\R5r"GSUGSV\R5r"GSWGSX\R5r"GSYGSZ\R5r"GS[GS\\R5r"GS]GS^\R5r"GS_GS`\R5r"GSaGSb\R5r"GScGSd\R5r"GSeGSf\R5r"GSgGSh\R5r"GSiGSj\R5r"GSkGSl\R5r"GSmGSn\R5r"GSoGSp\R5r"GSqGSr\R5r"GSsGSt\R5r"GSuGSv\R5r"GSwGSx\R5r"GSyGSz\R5r"GS{GS|\R5r"GS}GS~\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r"GSGS\R5r\GR"\GSGS5 \GR"\GRGSGS5 \GR"\GRGSGS5 Gg(zGenerated message classes for videointelligence version v1. Detects objects, explicit content, and scene changes in videos. It also specifies the region for annotation and transcribes speech to text. Supports both asynchronous API and streaming API. )absolute_import)messages)encoding) extra_typesvideointelligencec<\rSrSrSr\R "SSSS9rSrg) 3GoogleCloudVideointelligenceV1AnnotateVideoProgressVideo annotation progress. Included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service. Fields: annotationProgress: Progress metadata for all videos specified in `AnnotateVideoRequest`. 5GoogleCloudVideointelligenceV1VideoAnnotationProgressTrepeatedN __name__ __module__ __qualname____firstlineno____doc__ _messages MessageFieldannotationProgress__static_attributes__r_lib/googlecloudsdk/generated_clients/apis/videointelligence/v1/videointelligence_v1_messages.pyr r s!!--.eghswxrr c\rSrSrSr"SS\R 5r\R"SSSS9r \R"S5r \R"S 5r \R"S 5r\R"S 5r\R "S S 5rSrg)2GoogleCloudVideointelligenceV1AnnotateVideoRequest aVideo annotation request. Enums: FeaturesValueListEntryValuesEnum: Fields: features: Required. Requested video annotation features. inputContent: The video data bytes. If unset, the input video(s) should be specified via the `input_uri`. If set, `input_uri` must be unset. inputUri: 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. locationId: 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. outputUri: 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). videoContext: Additional video context and/or feature-specific parameters. c@\rSrSrSrSrSrSrSrSr Sr S r S r S r S rS rg)SGoogleCloudVideointelligenceV1AnnotateVideoRequest.FeaturesValueListEntryValuesEnumBa.FeaturesValueListEntryValuesEnum enum type. Values: FEATURE_UNSPECIFIED: Unspecified. LABEL_DETECTION: Label detection. Detect objects, such as dog or flower. SHOT_CHANGE_DETECTION: Shot change detection. EXPLICIT_CONTENT_DETECTION: Explicit content detection. FACE_DETECTION: Human face detection. SPEECH_TRANSCRIPTION: Speech transcription. TEXT_DETECTION: OCR text detection and tracking. OBJECT_TRACKING: Object detection and tracking. LOGO_RECOGNITION: Logo detection, tracking, and recognition. PERSON_DETECTION: Person detection. rr  rNrrrrrFEATURE_UNSPECIFIEDLABEL_DETECTIONSHOT_CHANGE_DETECTIONEXPLICIT_CONTENT_DETECTIONFACE_DETECTIONSPEECH_TRANSCRIPTIONTEXT_DETECTIONOBJECT_TRACKINGLOGO_RECOGNITIONPERSON_DETECTIONrrrr FeaturesValueListEntryValuesEnumr!BsA O!"NNOrr6r Trr#r$r%r&*GoogleCloudVideointelligenceV1VideoContextr'rN)rrrrrrEnumr6 EnumFieldfeatures BytesField inputContent StringFieldinputUri locationId outputUrir videoContextrrrrrr sB4 !CQQU V(%%a(,  " "1 %($$Q'*##A&)''(TVWX,rrc<\rSrSrSr\R "SSSS9rSrg) 3GoogleCloudVideointelligenceV1AnnotateVideoResponsedVideo annotation response. Included in the `response` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service. Fields: annotationResults: Annotation results for all videos specified in `AnnotateVideoRequest`. 4GoogleCloudVideointelligenceV1VideoAnnotationResultsr TrrN rrrrrrrannotationResultsrrrrrCrCds! ,,-cefquvrrCc\rSrSrSr\R "S\RRS9r \R"S5r \R"S5r Sr g) /GoogleCloudVideointelligenceV1DetectedAttributeqA generic detected attribute represented by name in string format. Fields: confidence: Detected attribute confidence. Range [0, 1]. name: 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. value: Text value of the detection result. For example, the value for "HairColor" can be "black", "blonde", etc. r variantr#r$rNrrrrrr FloatFieldVariantFLOAT confidencer=namevaluerrrrrJrJqG ##Ay/@/@/F/FG*   q !$    "%rrJc\rSrSrSr\R "S\RRS9r \R"S5r \R"SS5r Srg ) .GoogleCloudVideointelligenceV1DetectedLandmarkA generic detected landmark represented by name in string format and a 2D location. Fields: confidence: The confidence score of the detected landmark. Range [0, 1]. name: The name of this landmark, for example, left_hand, right_shoulder. point: The 2D point of the detected landmark using the normalized image coordinate system. The normalized coordinates have the range from 0 to 1. r rMr#.GoogleCloudVideointelligenceV1NormalizedVertexr$rNrrrrrrrPrQrRrSr=rTrpointrrrrrXrXsK ##Ay/@/@/F/FG*   q !$  !QST U%rrXc\rSrSrSr\R "S5r\R "S5r\R "S5r Sr g)$GoogleCloudVideointelligenceV1EntityDDetected entity from video analysis. Fields: description: Textual description, e.g., `Fixed-gear bicycle`. entityId: Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). languageCode: Language code for `description` in BCP-47 format. r r#r$rN rrrrrrr= descriptionentityId languageCoderrrrr_r_9%%a(+  " "1 %(&&q),rr_c`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) 7GoogleCloudVideointelligenceV1ExplicitContentAnnotation 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. Fields: frames: All video frames where explicit content was detected. version: Feature version. 2GoogleCloudVideointelligenceV1ExplicitContentFramer Trr#rN rrrrrrrframesr=versionrrrrrhrhs0  ! !"VXYdh i&  ! !! $'rrhc<\rSrSrSr\R "S5rSrg) Y^^$$--.TVWX$$Q'*rrkc\rSrSrSr"SS\R 5r\R"SS5r \R"SS5r Sr g ) 5GoogleCloudVideointelligenceV1ExportToOutputUriStatus Status of exporting annotation response to user specified `output_uri`. Enums: StateValueValuesEnum: Output only. State of the `output_uri` export. Fields: state: Output only. State of the `output_uri` export. status: Output only. Only set if state is FAILED. c$\rSrSrSrSrSrSrSrg)JGoogleCloudVideointelligenceV1ExportToOutputUriStatus.StateValueValuesEnumOutput only. State of the `output_uri` export. Values: STATE_UNSPECIFIED: Default value. SUCCEEDED: Export succeeded. FAILED: Export failed. rr r#rN rrrrrSTATE_UNSPECIFIED SUCCEEDEDFAILEDrrrrStateValueValuesEnumrI Frrr GoogleRpcStatusr#rN rrrrrrr8rr9staterstatusrrrrrr? Y^^    4a 8%  ! !"3Q 7&rrc\rSrSrSr\R "SSSS9r\R "SSSS9r\R"S 5r S r g ) ,GoogleCloudVideointelligenceV1FaceAnnotationDeprecated. No effect. Fields: frames: All video frames where a face was detected. segments: All video segments where a face was detected. thumbnail: Thumbnail of a representative face view (in JPEG format). 'GoogleCloudVideointelligenceV1FaceFramer Tr)GoogleCloudVideointelligenceV1FaceSegmentr#r$rN rrrrrrrrmsegmentsr; thumbnailrrrrrrsF  ! !"KQY] ^&  # #$OQR]a b(""1%)rrc\rSrSrSr\R "S5r\R"SSSS9r \R"S5r S r g ) 5GoogleCloudVideointelligenceV1FaceDetectionAnnotationiFace detection annotation. Fields: thumbnail: The thumbnail of a person's face. tracks: The face tracks with attributes. version: Feature version. r #GoogleCloudVideointelligenceV1Trackr#Trr$rN rrrrrrr;rrtracksr=rnrrrrrrs?""1%)  ! !"GUY Z&  ! !! $'rrc\rSrSrSr\R "S5r\R "S5r\R"S5r Sr g)1GoogleCloudVideointelligenceV1FaceDetectionConfigiaConfig for FACE_DETECTION. Fields: includeAttributes: Whether to enable face attributes detection, such as glasses, dark_glasses, mouth_open etc. Ignored if 'include_bounding_boxes' is set to false. includeBoundingBoxes: Whether bounding boxes are included in the face annotation output. model: Model to use for face detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". r r#r$rN) rrrrrr BooleanFieldincludeAttributesincludeBoundingBoxesr=rsrrrrrrs;  ,,Q/"//2    "%rrc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) ri'RDeprecated. No effect. Fields: normalizedBoundingBoxes: 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. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. 3GoogleCloudVideointelligenceV1NormalizedBoundingBoxr Trr#rN rrrrrrrnormalizedBoundingBoxesr=rrrrrrr's1&223hjkvz{$$Q'*rrc>\rSrSrSr\R "SS5rSrg)ri6xVideo segment level annotation results for face detection. Fields: segment: Video segment where a face was detected. *GoogleCloudVideointelligenceV1VideoSegmentr rN rrrrrrrsegmentrrrrrr6s  " "#OQR S'rrc\rSrSrSr\R "SSSS9r\R "SS5r\R "SS SS9r \R "S S SS9r \R"S 5r S r g)-GoogleCloudVideointelligenceV1LabelAnnotationi@Label annotation. Fields: categoryEntities: 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`. entity: Detected entity. frames: All video frames where a label was detected. segments: All video segments where a label was detected. version: Feature version. r_r Trr#(GoogleCloudVideointelligenceV1LabelFramer$*GoogleCloudVideointelligenceV1LabelSegmentr%r&rNrrrrrrrcategoryEntitiesentityrmrr=rnrrrrrr@sq ++,RTU`de  ! !"H! L&  ! !"LaZ^ _&  # #$PRS^b c(  ! !! $'rrcD\rSrSrSr"SS\R 5r\R"S\RRS9r \R"SS5r \R"S5r\R "S 5r\R"S \RRS9rS rg ) 2GoogleCloudVideointelligenceV1LabelDetectionConfigiUaOConfig for LABEL_DETECTION. Enums: LabelDetectionModeValueValuesEnum: What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to `SHOT_MODE`. Fields: frameConfidenceThreshold: 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. labelDetectionMode: What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to `SHOT_MODE`. model: Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". stationaryCamera: 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. videoConfidenceThreshold: 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. c(\rSrSrSrSrSrSrSrSr g) TGoogleCloudVideointelligenceV1LabelDetectionConfig.LabelDetectionModeValueValuesEnumitaiWhat labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to `SHOT_MODE`. Values: LABEL_DETECTION_MODE_UNSPECIFIED: Unspecified. SHOT_MODE: Detect shot-level labels. FRAME_MODE: Detect frame-level labels. SHOT_AND_FRAME_MODE: Detect both shot-level and frame-level labels. rr r#r$rN) rrrrr LABEL_DETECTION_MODE_UNSPECIFIED SHOT_MODE FRAME_MODESHOT_AND_FRAME_MODErrrr!LabelDetectionModeValueValuesEnumrts ()$IJrrr rMr#r$r%r&rN)rrrrrrr8rrPrQrRframeConfidenceThresholdr9labelDetectionModer=rsrstationaryCameravideoConfidenceThresholdrrrrrrUs<).. '11!Y=N=N=T=TU **+NPQR    "%++A.&11!Y=N=N=T=TUrrc\rSrSrSr\R "S\RRS9r \R"S5r Sr g)riVideo frame level annotation results for label detection. Fields: confidence: Confidence that the label is accurate. Range: [0, 1]. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. r rMr#rN rrrrrrrPrQrRrSr=rrrrrrr7##Ay/@/@/F/FG*$$Q'*rrc\rSrSrSr\R "S\RRS9r \R"SS5r Sr g) riVideo segment level annotation results for label detection. Fields: confidence: Confidence that the label is accurate. Range: [0, 1]. segment: Video segment where a label was detected. r rMrr#rN rrrrrrrPrQrRrSrrrrrrrrs;##Ay/@/@/F/FG*  " "#OQR S'rrc\rSrSrSr\R "SS5r\R "SSSS9r\R "S S SS9r S r g ) 7GoogleCloudVideointelligenceV1LogoRecognitionAnnotationiAnnotation corresponding to one detected, tracked and recognized logo class. Fields: entity: Entity category information to specify the logo class that all the logo tracks within this LogoRecognitionAnnotation are recognized as. segments: All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment. tracks: All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames. r_r rr#Trrr$rN rrrrrrrrrrrrrrrrsI   ! !"H! L&  # #$PRS^b c(  ! !"GUY Z&rrc@\rSrSrSr\R "S\RRS9r \R "S\RRS9r \R "S\RRS9r \R "S\RRS9r Sr g ) riNormalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1]. Fields: bottom: Bottom Y coordinate. left: Left X coordinate. right: Right X coordinate. top: Top Y coordinate. r rMr#r$r%rNrrrrrrrPrQrRbottomleftrighttoprrrrrr   9+<+<+B+B C&   a):):)@)@ A$   q)*;*;*A*A B%Q (9(9(?(?@#rrc<\rSrSrSr\R "SSSS9rSrg) 4GoogleCloudVideointelligenceV1NormalizedBoundingPolyiVNormalized 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 trigonometric calculations for location of the box. Fields: vertices: Normalized vertices of the bounding polygon. r[r TrrN rrrrrrrverticesrrrrrrs   # #$TVWbf g(rrc\rSrSrSr\R "S\RRS9r \R "S\RRS9r Sr g)r[iA 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. Fields: x: X coordinate. y: Y coordinate. r rMr#rN rrrrrrrPrQrRxyrrrrr[r[E1i&7&7&=&=>!1i&7&7&=&=>!rr[c\rSrSrSr\R "S\RRS9r \R"SS5r \R"SSS S 9r \R"S S 5r \R"S 5r\R "S5rSrg)6GoogleCloudVideointelligenceV1ObjectTrackingAnnotationiAnnotations corresponding to one tracked object. Fields: confidence: Object category's labeling confidence of this track. entity: Entity to specify the object category that this track is labeled as. frames: 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. segment: Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears. trackId: 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. version: Feature version. r rMr_r#1GoogleCloudVideointelligenceV1ObjectTrackingFramer$Trrr%r&r'rNrrrrrrrPrQrRrSrrrmr IntegerFieldtrackIdr=rnrrrrrrs(##Ay/@/@/F/FG*  ! !"H! L&  ! !"UWXcg h&  " "#OQR S'  " "1 %'  ! !! $'rrc<\rSrSrSr\R "S5rSrg)2GoogleCloudVideointelligenceV1ObjectTrackingConfigizConfig for OBJECT_TRACKING. Fields: model: Model to use for object tracking. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". r rNrrrrrrrrtrrcb\rSrSrSr\R "SS5r\R"S5r Sr g)ri-Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence. Fields: normalizedBoundingBox: The normalized bounding box location of this object track for the frame. timeOffset: The timestamp of the frame in microseconds. rr r#rN rrrrrrrnormalizedBoundingBoxr=rrrrrrrs.$001fhij$$Q'*rrc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) 7GoogleCloudVideointelligenceV1PersonDetectionAnnotationiwPerson detection annotation per video. Fields: tracks: The detected tracks of a person. version: Feature version. rr Trr#rN rrrrrrrrr=rnrrrrrrs/  ! !"GUY Z&  ! !! $'rrc\rSrSrSr\R "S5r\R "S5r\R "S5r Sr g)3GoogleCloudVideointelligenceV1PersonDetectionConfigi(aConfig for PERSON_DETECTION. Fields: includeAttributes: Whether to enable person attributes detection, such as cloth color (black, blue, etc), type (coat, dress, etc), pattern (plain, floral, etc), hair, etc. Ignored if 'include_bounding_boxes' is set to false. includeBoundingBoxes: Whether bounding boxes are included in the person detection annotation output. includePoseLandmarks: Whether to enable pose landmarks detection. Ignored if 'include_bounding_boxes' is set to false. r r#r$rN) rrrrrrrrrincludePoseLandmarksrrrrrr(s<  ,,Q/"//2"//2rrc<\rSrSrSr\R "S5rSrg)7GoogleCloudVideointelligenceV1ShotChangeDetectionConfigi;zConfig for SHOT_CHANGE_DETECTION. Fields: model: Model to use for shot change detection. Supported values: "builtin/stable" (the default if unset), "builtin/latest", and "builtin/legacy". r rNrrrrrrr;s    "%rrc:\rSrSrSr\R "SSS9rSrg)+GoogleCloudVideointelligenceV1SpeechContextiGa0Provides "hints" to the speech recognizer to favor specific words and phrases in the results. Fields: phrases: 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). r TrrN) rrrrrrr=phrasesrrrrrrGs   ! !!d 3'rrc\rSrSrSr\R "S\RRS9r \R"S5r \R"SSSS 9r S rg ) :GoogleCloudVideointelligenceV1SpeechRecognitionAlternativeiXAlternative hypotheses (a.k.a. n-best list). Fields: confidence: 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. transcript: Transcript text representing the words that the user spoke. words: 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. r rMr#&GoogleCloudVideointelligenceV1WordInfor$TrrNrrrrrrrPrQrRrSr= transcriptrwordsrrrrrrXsM ##Ay/@/@/F/FG*$$Q'*  !I1W[ \%rrc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) 1GoogleCloudVideointelligenceV1SpeechTranscriptionimFA speech recognition result corresponding to a portion of the audio. Fields: alternatives: 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. languageCode: 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. rr Trr#rN rrrrrrr alternativesr=rerrrrrrms0 ''(dfgrvw,&&q),rrc\rSrSrSr\R "SS\RRS9r \R "S\RRS9r \R"S5r \R"S 5r \R"S 5r\R"S 5r\R "S 5r\R "S \RRS9r\R&"SSSS9rSrg)7GoogleCloudVideointelligenceV1SpeechTranscriptionConfigia: Config for SPEECH_TRANSCRIPTION. Fields: audioTracks: Optional. For file formats, such as MXF or MKV, supporting multiple audio tracks, specify up to two tracks. Default: track 0. diarizationSpeakerCount: 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. enableAutomaticPunctuation: 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." enableSpeakerDiarization: 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. enableWordConfidence: 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`. filterProfanity: 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. languageCode: 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. maxAlternatives: 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. speechContexts: Optional. A means to provide context to assist the speech recognition. r T)rrNr#rMr$r%r&r'r(r)rr*rrN)rrrrrrrrQINT32 audioTracksdiarizationSpeakerCountrenableAutomaticPunctuationenableSpeakerDiarizationenableWordConfidencefilterProfanityr=remaxAlternativesrspeechContextsrrrrrrs*X&&q4ARARAXAXY+%221i>O>O>U>UV(55a8&33A6"//2**1-/&&q),**1i6G6G6M6MN/))*WYZeij.rrc\rSrSrSr\R "SSSS9r\R"S5r \R"S5r S r g ) ,GoogleCloudVideointelligenceV1TextAnnotationi"Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection. Fields: segments: All video segments where OCR detected text appears. text: The detected text. version: Feature version. )GoogleCloudVideointelligenceV1TextSegmentr Trr#r$rN rrrrrrrrr=textrnrrrrrrs@ # #$OQR]a b(   q !$  ! !! $'rrc^\rSrSrSr\R "SSS9r\R "S5rSr g) 1GoogleCloudVideointelligenceV1TextDetectionConfigiaConfig for TEXT_DETECTION. Fields: languageHints: 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. model: Model to use for text detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". r Trr#rN) rrrrrrr= languageHintsrsrrrrr$r$s+ ''D9-    "%rr$cb\rSrSrSr\R "SS5r\R"S5r Sr g)'GoogleCloudVideointelligenceV1TextFramei6Video frame level annotation results for text annotation (OCR). Contains information regarding timestamp and bounding box locations for the frames containing detected OCR text snippets. Fields: rotatedBoundingBox: Bounding polygon of the detected text for this frame. timeOffset: Timestamp of this frame. rr r#rN rrrrrrrrotatedBoundingBoxr=rrrrrr'r's.!--.dfgh$$Q'*rr'c\rSrSrSr\R "S\RRS9r \R"SSSS9r \R"S S 5r S r g ) r i[Video segment level annotation results for text detection. Fields: confidence: Confidence for the track of detected text. It is calculated as the highest over all frames where OCR detected text appears. frames: Information related to the frames where OCR detected text appears. segment: Video segment where a text snippet was detected. r rMr'r#Trrr$rNrrrrrrrPrQrRrSrrmrrrrrr r sQ##Ay/@/@/F/FG*  ! !"KQY] ^&  " "#OQR S'rr c\rSrSrSr\R "SSSS9r\R "SSSS9r\R "S S 5r \R"S 5r S r g )/GoogleCloudVideointelligenceV1TimestampedObjectiFor tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box. Fields: attributes: Optional. The attributes of the object in the bounding box. landmarks: Optional. The detected landmarks. normalizedBoundingBox: Normalized Bounding box in a frame, where the object is located. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this object. rJr TrrXr#rr$r%rN rrrrrrr attributes landmarksrr=rrrrrr/r/s\ %%&WYZeij*$$%UWXcgh)#001fhij$$Q'*rr/c\rSrSrSr\R "SSSS9r\R"S\RRS9r \R "S S 5r \R "S S SS9r S rg)ri#A track of an object instance. Fields: attributes: Optional. Attributes in the track level. confidence: Optional. The confidence score of the tracked object. segment: Video segment of a track. timestampedObjects: The object with timestamp and attributes per frame in the track. rJr Trr#rMrr$r/r%rNrrrrrrrr2rPrQrRrSrtimestampedObjectsrrrrrrsj%%&WYZeij*##Ay/@/@/F/FG*  " "#OQR S' --._abmqrrrcj\rSrSrSr"SS\R 5r\R"SS5r \R"SS5r \R"S5r \R"S \RR S 9r\R"S S 5r\R"S 5r\R"S5rSrg)r i0Annotation progress for a single video. Enums: FeatureValueValuesEnum: Specifies which feature is being tracked if the request contains more than one feature. Fields: exportStatus: Status of exporting annotation response to user specified `output_uri`. Only set if `output_uri` is set in the request. feature: Specifies which feature is being tracked if the request contains more than one feature. inputUri: Video file location in [Cloud Storage](https://cloud.google.com/storage/). progressPercent: Approximate percentage processed thus far. Guaranteed to be 100 when fully processed. segment: Specifies which segment is being tracked if the request contains more than one segment. startTime: Time when the request was received. updateTime: Time of the most recent update. c@\rSrSrSrSrSrSrSrSr Sr S r S r S r S rS rg)LGoogleCloudVideointelligenceV1VideoAnnotationProgress.FeatureValueValuesEnumi.ZSpecifies which feature is being tracked if the request contains more than one feature. Values: FEATURE_UNSPECIFIED: Unspecified. LABEL_DETECTION: Label detection. Detect objects, such as dog or flower. SHOT_CHANGE_DETECTION: Shot change detection. EXPLICIT_CONTENT_DETECTION: Explicit content detection. FACE_DETECTION: Human face detection. SPEECH_TRANSCRIPTION: Speech transcription. TEXT_DETECTION: OCR text detection and tracking. OBJECT_TRACKING: Object detection and tracking. LOGO_RECOGNITION: Logo detection, tracking, and recognition. PERSON_DETECTION: Person detection. rr r#r$r%r&r'r(r)r*rNr+rrrFeatureValueValuesEnumr;.AO!"NNOrr=rr r#r$r%rMrr&r'r(rNrrrrrrr8r=r exportStatusr9featurer=r>rrQrprogressPercentr startTime updateTimerrrrr r s*y~~6''(_abc,    8! <'  " "1 %(**1i6G6G6M6MN/  " "#OQR S'##A&)$$Q'*rr c\rSrSrSr\R "SS5r\R "SS5r\R "SSS S 9r \R "S S S S 9r \R "S SS S 9r \R"S5r \R "SSS S 9r\R "SSS S 9r\R "SSS S 9r\R "SS5r\R "S SS S 9r\R "S SS S 9r\R "SSS S 9r\R "S SS S 9r\R "S SS S 9r\R "SSS S 9r\R "SS S S 9rS!rg")#rFiR Annotation results for a single video. Fields: error: If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail. explicitAnnotation: Explicit content annotation. faceAnnotations: Deprecated. Please use `face_detection_annotations` instead. faceDetectionAnnotations: Face detection annotations. frameLabelAnnotations: Label annotations on frame level. There is exactly one element for each unique label. inputUri: Video file location in [Cloud Storage](https://cloud.google.com/storage/). logoRecognitionAnnotations: Annotations for list of logos detected, tracked and recognized in video. objectAnnotations: Annotations for list of objects detected and tracked in video. personDetectionAnnotations: Person detection annotations. segment: Video segment on which the annotation is run. segmentLabelAnnotations: Topical label annotations on video level or user- specified segment level. There is exactly one element for each unique label. segmentPresenceLabelAnnotations: 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. shotAnnotations: Shot annotations. Each shot is represented as a video segment. shotLabelAnnotations: Topical label annotations on shot level. There is exactly one element for each unique label. shotPresenceLabelAnnotations: 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. speechTranscriptions: Speech transcription. textAnnotations: OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it. rr rhr#rr$Trrr%rr&r'rr(rr)rr*r rrrNrrrrrrrerrorexplicitAnnotationfaceAnnotationsfaceDetectionAnnotationsframeLabelAnnotationsr=r>logoRecognitionAnnotationsobjectAnnotationspersonDetectionAnnotationsrsegmentLabelAnnotationssegmentPresenceLabelAnnotationsshotAnnotationsshotLabelAnnotationsshotPresenceLabelAnnotationsspeechTranscriptionstextAnnotationsrrrrrFrFRs+Z  !2A 6% --.gijk**+Y[\gkl/&334kmny}~#001`bcnrs  " "1 %((556oqr~B C,,-eghswx(556oqr~B C  " "#OQS T'%223bdfquv$-$:$:;jlny}$~!**+WY[fjk/"//0_acnrs!*!7!78gikvz!{"//0cegrvw**+Y[]hlm/rrFcl\rSrSrSr\R "SS5r\R "SS5r\R "SS5r \R "S S 5r \R "S S 5r \R "S SSS9r \R "SS5r \R "SS5r\R "SS5rSrg)r7iaVideo context and/or feature-specific parameters. Fields: explicitContentDetectionConfig: Config for EXPLICIT_CONTENT_DETECTION. faceDetectionConfig: Config for FACE_DETECTION. labelDetectionConfig: Config for LABEL_DETECTION. objectTrackingConfig: Config for OBJECT_TRACKING. personDetectionConfig: Config for PERSON_DETECTION. segments: 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. shotChangeDetectionConfig: Config for SHOT_CHANGE_DETECTION. speechTranscriptionConfig: Config for SPEECH_TRANSCRIPTION. textDetectionConfig: Config for TEXT_DETECTION. rpr rr#rr$rr%rr&rr'Trrr(rr)r$r*rN)rrrrrrrexplicitContentDetectionConfigfaceDetectionConfiglabelDetectionConfigobjectTrackingConfigpersonDetectionConfigrshotChangeDetectionConfigspeechTranscriptionConfigtextDetectionConfigrrrrr7r7s $-#9#9:xz{#| !../bdef"//0dfgh"//0dfgh#001fhij  # #$PRS^b c('445npqr'445npqr!../bdefrr7c`\rSrSrSr\R "S5r\R "S5rSr g)riVideo segment. Fields: endTimeOffset: Time-offset, relative to the beginning of the video, corresponding to the end of the segment (inclusive). startTimeOffset: Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive). r r#rN rrrrrrr= endTimeOffsetstartTimeOffsetrrrrrr)''*-))!,/rrc\rSrSrSr\R "S\RRS9r \R"S5r \R"S\RRS9r\R"S5r\R"S5rS rg ) r iWord-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`. Fields: confidence: 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. endTime: 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. speakerTag: 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. startTime: 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. 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"SSSS9r\R "SS5r\R "SS SS9r \R "S S SS9r \R"S 5r S r g)4GoogleCloudVideointelligenceV1p2beta1LabelAnnotationi rr)r Trr#/GoogleCloudVideointelligenceV1p2beta1LabelFramer$1GoogleCloudVideointelligenceV1p2beta1LabelSegmentr%r&rNrrrrr@r@ rrr@c\rSrSrSr\R "S\RRS9r \R"S5r Sr g)rAi rr rMr#rNrrrrrArA rrrAc\rSrSrSr\R "S\RRS9r \R"SS5r Sr g) rBi rr rMr>r#rNrrrrrBrB rrrBc\rSrSrSr\R "SS5r\R "SSSS9r\R "S S SS9r S r g ) >GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotationi rr)r r>r#Trr:r$rNrrrrrFrF rrrFc@\rSrSrSr\R "S\RRS9r \R "S\RRS9r \R "S\RRS9r \R "S\RRS9r Sr g ) r<i rr rMr#r$r%rNrrrrr<r< rrr<c<\rSrSrSr\R "SSSS9rSrg) ;GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingPolyi, rr'r TrrNrrrrrIrI, rrrIc\rSrSrSr\R "S\RRS9r \R "S\RRS9r Sr g)r'i= rr rMr#rNrrrrr'r'= rrr'c\rSrSrSr\R "S\RRS9r \R"SS5r \R"SSS S 9r \R"S S 5r \R"S 5r\R "S5rSrg)=GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotationiJ rr rMr)r#8GoogleCloudVideointelligenceV1p2beta1ObjectTrackingFramer$Trr>r%r&r'rNrrrrrLrLJ rrrLcb\rSrSrSr\R "SS5r\R"S5r Sr g)rMig rr<r r#rNrrrrrMrMg rrrMc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) >GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotationiu rr:r Trr#rNrrrrrPrPu rrrPc\rSrSrSr\R "S\RRS9r \R"S5r \R"SSSS 9r S rg ) AGoogleCloudVideointelligenceV1p2beta1SpeechRecognitionAlternativei rr rMr#-GoogleCloudVideointelligenceV1p2beta1WordInfor$TrrNr rrrrRrR rrrRc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) 8GoogleCloudVideointelligenceV1p2beta1SpeechTranscriptioni rrRr Trr#rNrrrrrUrU rrrUc\rSrSrSr\R "SSSS9r\R"S5r \R"S5r S r g ) 3GoogleCloudVideointelligenceV1p2beta1TextAnnotationi r0GoogleCloudVideointelligenceV1p2beta1TextSegmentr Trr#r$rNr!rrrrWrW r rrWcb\rSrSrSr\R "SS5r\R"S5r Sr g).GoogleCloudVideointelligenceV1p2beta1TextFramei r(rIr r#rNr)rrrrZrZ r rrZc\rSrSrSr\R "S\RRS9r \R"SSSS9r \R"S S 5r S r g ) rXi r,r rMrZr#Trr>r$rNr-rrrrXrX rrrXc\rSrSrSr\R "SSSS9r\R "SSSS9r\R "S S 5r \R"S 5r S r g )6GoogleCloudVideointelligenceV1p2beta1TimestampedObjecti r0r$r Trr&r#r<r$r%rNr1rrrr]r] rrr]c\rSrSrSr\R "SSSS9r\R"S\RRS9r \R "S S 5r \R "S S SS9r S rg)r:i r5r$r Trr#rMr>r$r]r%rNr6rrrr:r: rrr:cj\rSrSrSr"SS\R 5r\R"SS5r \R"SS5r \R"S5r \R"S \RR S 9r\R"S S 5r\R"S 5r\R"S5rSrg)ri r9c@\rSrSrSrSrSrSrSrSr Sr S r S r S r S rS rg)SGoogleCloudVideointelligenceV1p2beta1VideoAnnotationProgress.FeatureValueValuesEnumi r<rr r#r$r%r&r'r(r)r*rNr+rrrr=ra r>rr=r1r r#r$r%rMr>r&r'r(rNr?rrrrr rrrc\rSrSrSr\R "SS5r\R "SS5r\R "SSS S 9r \R "S S S S 9r \R "S SS S 9r \R"S5r \R "SSS S 9r\R "SSS S 9r\R "SSS S 9r\R "SS5r\R "S SS S 9r\R "S SS S 9r\R "SSS S 9r\R "S SS S 9r\R "S SS S 9r\R "SSS S 9r\R "SS S S 9rS!rg")#r"i3 rFrr r+r#r5r$Trr9r%r@r&r'rFr(rLr)rPr*r>rGrHrIrJrKrLrUrMrWrNrNrOrrrr"r"3 rrr"c`\rSrSrSr\R "S5r\R "S5rSr g)r>it rir r#rNrjrrrr>r>t rmrr>c\rSrSrSr\R "S\RRS9r \R"S5r \R"S\RRS9r\R"S5r\R"S5rS rg ) rSi ror rMr#r$r%r&rNrprrrrSrS rtrrSc<\rSrSrSr\R "SSSS9rSrg) :GoogleCloudVideointelligenceV1p3beta1AnnotateVideoProgressi r GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotationi rj9GoogleCloudVideointelligenceV1p3beta1ExplicitContentFramer Trr#rNrlrrrrr rrrc\rSrSrSr"SS\R 5r\R"SS5r \R"S5r Sr g) ri+ rwc0\rSrSrSrSrSrSrSrSr Sr S r g ) ^GoogleCloudVideointelligenceV1p3beta1ExplicitContentFrame.PornographyLikelihoodValueValuesEnumi8 r{rr r#r$r%r&rNr|rrrrr8 rrrr r#rNrrrrrr+ rrrc\rSrSrSr"SS\R 5r\R"SS5r \R"SS5r Sr g ) \rSrSrSr\R "SS5rSrg)ri r1GoogleCloudVideointelligenceV1p3beta1VideoSegmentr rNrrrrrr rrrc\rSrSrSr\R "SSSS9r\R "SS5r\R "SS SS9r \R "S S SS9r \R"S 5r S r g)4GoogleCloudVideointelligenceV1p3beta1LabelAnnotationi rr}r Trr#/GoogleCloudVideointelligenceV1p3beta1LabelFramer$1GoogleCloudVideointelligenceV1p3beta1LabelSegmentr%r&rNrrrrrr rrrc\rSrSrSr\R "S\RRS9r \R"S5r Sr g)ri rr rMr#rNrrrrrr rrrc\rSrSrSr\R "S\RRS9r \R"SS5r Sr g) ri rr rMrr#rNrrrrrr rrrc\rSrSrSr\R "SS5r\R "SSSS9r\R "S S SS9r S r g ) >GoogleCloudVideointelligenceV1p3beta1LogoRecognitionAnnotationi rr}r rr#Trrtr$rNrrrrrr rrrc@\rSrSrSr\R "S\RRS9r \R "S\RRS9r \R "S\RRS9r \R "S\RRS9r Sr g ) ri rr rMr#r$r%rNrrrrrr rrrc<\rSrSrSr\R "SSSS9rSrg) ;GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingPolyi rr{r TrrNrrrrrr rrrc\rSrSrSr\R "S\RRS9r \R "S\RRS9r Sr g)r{i rr rMr#rNrrrrr{r{ rrr{c\rSrSrSr\R "S\RRS9r \R"SS5r \R"SSS S 9r \R"S S 5r \R"S 5r\R "S5rSrg)=GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotationi rr rMr}r#8GoogleCloudVideointelligenceV1p3beta1ObjectTrackingFramer$Trrr%r&r'rNrrrrrr rrrcb\rSrSrSr\R "SS5r\R"S5r Sr g)ri+ rrr r#rNrrrrrr+ rrrc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) >GoogleCloudVideointelligenceV1p3beta1PersonDetectionAnnotationi9 rrtr Trr#rNrrrrrr9 rrrc\rSrSrSr\R "SS5r\R"S\RRS9r Sr g) rsiE zThe recognized celebrity with confidence score. Fields: celebrity: The recognized celebrity. confidence: Recognition confidence. Range [0, 1]. rlr r#rMrN) rrrrrrr celebrityrPrQrRrSrrrrrsrsE s;$$%UWXY)##Ay/@/@/F/FG*rrsc\rSrSrSr\R "S\RRS9r \R"S5r \R"SSSS 9r S rg ) AGoogleCloudVideointelligenceV1p3beta1SpeechRecognitionAlternativeiQ rr rMr#-GoogleCloudVideointelligenceV1p3beta1WordInfor$TrrNr rrrrrQ rrrc`\rSrSrSr\R "SSSS9r\R"S5r Sr g ) 8GoogleCloudVideointelligenceV1p3beta1SpeechTranscriptionif rrr Trr#rNrrrrrrf rrrc\rSrSrSr\R "SS5r\R"S5r \R "SS5r Sr g ) CGoogleCloudVideointelligenceV1p3beta1StreamingAnnotateVideoResponseix ab`StreamingAnnotateVideoResponse` is the only message returned to the client by `StreamingAnnotateVideo`. A series of zero or more `StreamingAnnotateVideoResponse` messages are streamed back to the client. Fields: annotationResults: Streaming annotation results. annotationResultsUri: Google Cloud Storage URI that stores annotation results of one streaming session in JSON format. It is the annotation_result_storage_directory from the request followed by '/cloud_project_number-session_id'. error: If set, returns a google.rpc.Status message that specifies the error for the operation. DGoogleCloudVideointelligenceV1p3beta1StreamingVideoAnnotationResultsr r#rr$rN) rrrrrrrrHr=annotationResultsUrirPrrrrrrx sB  ,,-suvw"..q1  !2A 6%rrc\rSrSrSr\R "SS5r\R"S5r \R "SSSS 9r \R "S S SS 9r \R "S S SS 9r Sr g)ri aStreaming 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. Fields: explicitAnnotation: Explicit content annotation results. frameTimestamp: Timestamp of the processed frame in microseconds. labelAnnotations: Label annotation results. objectAnnotations: Object tracking results. shotAnnotations: Shot annotation results. Each shot is represented as a video segment. rr r#rr$Trrr%rr&rN)rrrrrrrrQr=frameTimestamplabelAnnotationsrVrZrrrrrr su !--.npqr((+.++,bdeptu,,-lnoz~**+^`alpq/rrc\rSrSrSr\R "SSSS9r\R"S5r \R"S5r S r g ) 3GoogleCloudVideointelligenceV1p3beta1TextAnnotationi r0GoogleCloudVideointelligenceV1p3beta1TextSegmentr Trr#r$rNr!rrrrr r rrcb\rSrSrSr\R "SS5r\R"S5r Sr g).GoogleCloudVideointelligenceV1p3beta1TextFramei r(rr r#rNr)rrrrr r rrc\rSrSrSr\R "S\RRS9r \R"SSSS9r \R"S S 5r S r g ) ri r,r rMrr#Trrr$rNr-rrrrr rrrc\rSrSrSr\R "SSSS9r\R "SSSS9r\R "S S 5r \R"S 5r S r g )6GoogleCloudVideointelligenceV1p3beta1TimestampedObjecti r0rxr Trrzr#rr$r%rNr1rrrrr rrrc\rSrSrSr\R "SSSS9r\R"S\RRS9r \R "S S 5r \R "S S SS9r S rg)rti r5rxr Trr#rMrr$rr%rNr6rrrrtrt rrrtcj\rSrSrSr"SS\R 5r\R"SS5r \R"SS5r \R"S5r \R"S \RR S 9r\R"S S 5r\R"S 5r\R"S5rSrg)rgi r9cD\rSrSrSrSrSrSrSrSr Sr S r S r S r S rS rSrg)SGoogleCloudVideointelligenceV1p3beta1VideoAnnotationProgress.FeatureValueValuesEnumiaSpecifies which feature is being tracked if the request contains more than one feature. Values: FEATURE_UNSPECIFIED: Unspecified. LABEL_DETECTION: Label detection. Detect objects, such as dog or flower. SHOT_CHANGE_DETECTION: Shot change detection. EXPLICIT_CONTENT_DETECTION: Explicit content detection. FACE_DETECTION: Human face detection. SPEECH_TRANSCRIPTION: Speech transcription. TEXT_DETECTION: OCR text detection and tracking. OBJECT_TRACKING: Object detection and tracking. LOGO_RECOGNITION: Logo detection, tracking, and recognition. CELEBRITY_RECOGNITION: Celebrity recognition. PERSON_DETECTION: Person detection. rr r#r$r%r&r'r(r)r*rGrN)rrrrrr,r-r.r/r0r1r2r3r4CELEBRITY_RECOGNITIONr5rrrrr=rsG O!"NNOrr=rr r#r$r%rMrr&r'r(rNr?rrrrgrg s*y~~:''(fhij,    8! <'  " "1 %(**1i6G6G6M6MN/  " "#VXY Z'##A&)$$Q'*rrgc\rSrSrSr\R "SS5r\R "SS5r\R "SS5r \R "S S S S 9r \R "S SS S 9r \R "SSS S 9r \R"S5r\R "SSS S 9r\R "SSS S 9r\R "SSS S 9r\R "SS5r\R "SSS S 9r\R "SSS S 9r\R "SSS S 9r\R "SSS S 9r\R "SSS S 9r\R "SS S S 9r\R "S!S"S S 9rS#rg$)%rji.aU Annotation results for a single video. Fields: celebrityRecognitionAnnotations: Celebrity recognition annotations. error: If set, indicates an error. Note that for a single `AnnotateVideoRequest` some videos may succeed and some may fail. explicitAnnotation: Explicit content annotation. faceAnnotations: Deprecated. Please use `face_detection_annotations` instead. faceDetectionAnnotations: Face detection annotations. frameLabelAnnotations: Label annotations on frame level. There is exactly one element for each unique label. inputUri: Video file location in [Cloud Storage](https://cloud.google.com/storage/). logoRecognitionAnnotations: Annotations for list of logos detected, tracked and recognized in video. objectAnnotations: Annotations for list of objects detected and tracked in video. personDetectionAnnotations: Person detection annotations. segment: Video segment on which the annotation is run. segmentLabelAnnotations: Topical label annotations on video level or user- specified segment level. There is exactly one element for each unique label. segmentPresenceLabelAnnotations: 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. shotAnnotations: Shot annotations. Each shot is represented as a video segment. shotLabelAnnotations: Topical label annotations on shot level. There is exactly one element for each unique label. shotPresenceLabelAnnotations: 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. speechTranscriptions: Speech transcription. textAnnotations: OCR text detection and tracking. Annotations for list of detected text snippets. Each will have list of frame information associated with it. ror rr#rr$rr%Trrr&rr'r(rr)rr*rrGrrHrIrJrKrLrMrrNrrN)rrrrrrrcelebrityRecognitionAnnotationsrPrQrRrSrTr=r>rUrVrWrrXrYrZr[r\r]r^rrrrrjrj.s,\%.$:$:" to include in api requests. uploadType: Legacy upload protocol for media (e.g. "media", "multipart"). upload_protocol: Upload protocol for media (e.g. "raw", "multipart"). c$\rSrSrSrSrSrSrSrg)*StandardQueryParameters.AltValueValuesEnumi{zData format for response. Values: json: Responses with Content-Type of application/json media: Media download with context-dependent Content-Type proto: Responses with Content-Type of application/x-protobuf rr r#rN) rrrrrjsonmediaprotorrrrAltValueValuesEnumr{s D E Errc \rSrSrSrSrSrSrg)-StandardQueryParameters.FXgafvValueValuesEnumizFV1 error format. Values: _1: v1 error format _2: v2 error format rr rN)rrrrr_1_2rrrrFXgafvValueValuesEnumrs B Brrr r#r$r)defaultr%r&r'r(r)Tr*rGrHrIrN)rrrrrrr8rrr9f__xgafvr= access_tokenaltcallbackfieldsr oauth_tokenr prettyPrint quotaUsertrace uploadTypeupload_protocolrrrrrr`s4 9>>  inn  !8! <(&&q),0!VD#  " "1 %(   #&a #%%a(+&&q$7+##A&)    #%$$R(*))"-/rrc:\rSrSrSr\R "SSS9rSrg)CVideointelligenceOperationsProjectsLocationsOperationsCancelRequestizA VideointelligenceOperationsProjectsLocationsOperationsCancelRequest object. Fields: name: The name of the operation resource to be cancelled. r TrequiredrN rrrrrrr=rTrrrrr r    q4 0$rr c:\rSrSrSr\R "SSS9rSrg)CVideointelligenceOperationsProjectsLocationsOperationsDeleteRequestizA VideointelligenceOperationsProjectsLocationsOperationsDeleteRequest object. Fields: name: The name of the operation resource to be deleted. r Tr rNr rrrrrr rrc:\rSrSrSr\R "SSS9rSrg)@VideointelligenceOperationsProjectsLocationsOperationsGetRequestizA VideointelligenceOperationsProjectsLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. r Tr rNr rrrrrr rrc`\rSrSrSr\R "SS5r\R"SSS9r Sr g ) 9VideointelligenceProjectsLocationsOperationsCancelRequestiaA VideointelligenceProjectsLocationsOperationsCancelRequest object. Fields: googleLongrunningCancelOperationRequest: A GoogleLongrunningCancelOperationRequest resource to be passed as the request body. name: The name of the operation resource to be cancelled. rr r#Tr rN) rrrrrrr'googleLongrunningCancelOperationRequestr=rTrrrrrrs0-6,B,BClno,p)   q4 0$rrc:\rSrSrSr\R "SSS9rSrg)9VideointelligenceProjectsLocationsOperationsDeleteRequestizA VideointelligenceProjectsLocationsOperationsDeleteRequest object. Fields: name: The name of the operation resource to be deleted. r Tr rNr rrrrr   q4 0$rrc:\rSrSrSr\R "SSS9rSrg)6VideointelligenceProjectsLocationsOperationsGetRequestizvA VideointelligenceProjectsLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. r Tr rNr rrrrrrrrc\rSrSrSr\R "S5r\R "SSS9r\R"S\RRS9r \R "S 5r \R"S 5rS rg ) 7VideointelligenceProjectsLocationsOperationsListRequestiaA VideointelligenceProjectsLocationsOperationsListRequest object. Fields: filter: The standard list filter. name: The name of the operation's parent resource. pageSize: The standard list page size. pageToken: The standard list page token. returnPartialSuccess: When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the [ListOperationsResponse.unreachable] field. This can only be `true` when reading across collections e.g. when `parent` is set to `"projects/example/locations/-"`. This field is not by default supported and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation. r r#Tr r$rMr%r&rN)rrrrrrr=filterrTrrQrpageSize pageTokenrreturnPartialSuccessrrrrrrsj   #&   q4 0$  # #Ay/@/@/F/F G(##A&)"//2rrrz$.xgafvr1r2N)r __future__rapitools.base.protorpcliterrapitools.base.pyrrpackagerr rrCrJrXr_rhrprkrrrrrrrrrrrrrr[rrrrrrrrrrrr$r'r r/rr rFr7rr rvryr|r~rrrrrrrrrrrrrrrrrrrrrrrrrrwrzrrrrrrrrrrrrrrrrrrrrrrrrrrrr r rrrrrrrr!r$r&r)r+r,r1r5r9r6r7r@rArBrFr<rIr'rLrMrPrRrUrWrZrXr]r:rr"r>rSrfrirlrorprxrzr}rrrrrrrrrrrrrr{rrrrsrrrrrrrrrtrgrjrrrrrrrrr rrrrrrAddCustomJsonFieldMappingAddCustomJsonEnumMappingrrrrr(s'<%(  y):K:K yAY9J9JAYH w):K:K w#i6G6G#"VY5F5FV" *9+<+< * %i>O>O %#9CTCT# (9J9J (F8IO>O[&A):K:KA"h9;L;Lh" ?Y5F5F ?%Y=N=N%:#9J9J# ( 8I8I ( %i>O>O %3):K:K3& #i>O>O #4)2C2C4"]ARAR]** 8I8I*$5ki>O>O5kp %93D3D % # 8I8I # (i.?.? ( T 0A0A T(i6G6G(&s)*;*;s"7(In9;L;L>nBg1B1Bg8 -1B1B - "Y->-> "F ~y?P?P ~ |y?P?P |#9;L;L#"[):K:K[" * 0A0A * %9CTCT % (i>O>O (F8ARAR86 & 8I8I & %ARAR % (93D3D (YY5F5FY%9J9J%* (I4E4E ( Yi6G6G Y`9CTCT`&Ay?P?PA"m @Q@Qm" ?):K:K ?%)BSBS%: (Y=N=N ( %9CTCT %biFWFWb**Y=N=N*$ % 8I8I % (93D3D ( YY5F5F Y(9;L;L(&xy/@/@x"7(ARAR7(t>s @Q@Q>sB -i6G6G - ")2C2C "F @ARAR @ ~ARAR ~#Y=N=N#"]Iu)BSBS>uB - 8I8I - "I4E4E "F @ARAR @ ~ARAR ~#Y=N=N#"]Iu)BSBS>uB - 8I8I - "I4E4E "F @ARAR @ ~ARAR ~"Y5F5F"$ %)J[J[ % V):K:K V#Y=N=N#"]IO>O30 ""Z4!!114>!!114>r