"""Generated 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. """ # NOTE: This file is autogenerated and should not be edited by hand. from __future__ import absolute_import from apitools.base.protorpclite import messages as _messages from apitools.base.py import encoding from apitools.base.py import extra_types package = 'videointelligence' class GoogleCloudVideointelligenceV1AnnotateVideoProgress(_messages.Message): r"""Video 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`. """ annotationProgress = _messages.MessageField('GoogleCloudVideointelligenceV1VideoAnnotationProgress', 1, repeated=True) class GoogleCloudVideointelligenceV1AnnotateVideoRequest(_messages.Message): r"""Video 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. """ class FeaturesValueListEntryValuesEnum(_messages.Enum): r"""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. """ FEATURE_UNSPECIFIED = 0 LABEL_DETECTION = 1 SHOT_CHANGE_DETECTION = 2 EXPLICIT_CONTENT_DETECTION = 3 FACE_DETECTION = 4 SPEECH_TRANSCRIPTION = 5 TEXT_DETECTION = 6 OBJECT_TRACKING = 7 LOGO_RECOGNITION = 8 PERSON_DETECTION = 9 features = _messages.EnumField('FeaturesValueListEntryValuesEnum', 1, repeated=True) inputContent = _messages.BytesField(2) inputUri = _messages.StringField(3) locationId = _messages.StringField(4) outputUri = _messages.StringField(5) videoContext = _messages.MessageField('GoogleCloudVideointelligenceV1VideoContext', 6) class GoogleCloudVideointelligenceV1AnnotateVideoResponse(_messages.Message): r"""Video 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`. """ annotationResults = _messages.MessageField('GoogleCloudVideointelligenceV1VideoAnnotationResults', 1, repeated=True) class GoogleCloudVideointelligenceV1DetectedAttribute(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) value = _messages.StringField(3) class GoogleCloudVideointelligenceV1DetectedLandmark(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) point = _messages.MessageField('GoogleCloudVideointelligenceV1NormalizedVertex', 3) class GoogleCloudVideointelligenceV1Entity(_messages.Message): r"""Detected 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. """ description = _messages.StringField(1) entityId = _messages.StringField(2) languageCode = _messages.StringField(3) class GoogleCloudVideointelligenceV1ExplicitContentAnnotation(_messages.Message): r"""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. """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1ExplicitContentFrame', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1ExplicitContentDetectionConfig(_messages.Message): r"""Config for EXPLICIT_CONTENT_DETECTION. Fields: model: Model to use for explicit content detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". """ model = _messages.StringField(1) class GoogleCloudVideointelligenceV1ExplicitContentFrame(_messages.Message): r"""Video frame level annotation results for explicit content. Enums: PornographyLikelihoodValueValuesEnum: Likelihood of the pornography content.. Fields: pornographyLikelihood: Likelihood of the pornography content.. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. """ class PornographyLikelihoodValueValuesEnum(_messages.Enum): r"""Likelihood of the pornography content.. Values: LIKELIHOOD_UNSPECIFIED: Unspecified likelihood. VERY_UNLIKELY: Very unlikely. UNLIKELY: Unlikely. POSSIBLE: Possible. LIKELY: Likely. VERY_LIKELY: Very likely. """ LIKELIHOOD_UNSPECIFIED = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 pornographyLikelihood = _messages.EnumField('PornographyLikelihoodValueValuesEnum', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1ExportToOutputUriStatus(_messages.Message): r"""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. """ class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the `output_uri` export. Values: STATE_UNSPECIFIED: Default value. SUCCEEDED: Export succeeded. FAILED: Export failed. """ STATE_UNSPECIFIED = 0 SUCCEEDED = 1 FAILED = 2 state = _messages.EnumField('StateValueValuesEnum', 1) status = _messages.MessageField('GoogleRpcStatus', 2) class GoogleCloudVideointelligenceV1FaceAnnotation(_messages.Message): r"""Deprecated. 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). """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1FaceFrame', 1, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1FaceSegment', 2, repeated=True) thumbnail = _messages.BytesField(3) class GoogleCloudVideointelligenceV1FaceDetectionAnnotation(_messages.Message): r"""Face detection annotation. Fields: thumbnail: The thumbnail of a person's face. tracks: The face tracks with attributes. version: Feature version. """ thumbnail = _messages.BytesField(1) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1Track', 2, repeated=True) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1FaceDetectionConfig(_messages.Message): r"""Config 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". """ includeAttributes = _messages.BooleanField(1) includeBoundingBoxes = _messages.BooleanField(2) model = _messages.StringField(3) class GoogleCloudVideointelligenceV1FaceFrame(_messages.Message): r"""Deprecated. 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. """ normalizedBoundingBoxes = _messages.MessageField('GoogleCloudVideointelligenceV1NormalizedBoundingBox', 1, repeated=True) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1FaceSegment(_messages.Message): r"""Video segment level annotation results for face detection. Fields: segment: Video segment where a face was detected. """ segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 1) class GoogleCloudVideointelligenceV1LabelAnnotation(_messages.Message): r"""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. """ categoryEntities = _messages.MessageField('GoogleCloudVideointelligenceV1Entity', 1, repeated=True) entity = _messages.MessageField('GoogleCloudVideointelligenceV1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1LabelFrame', 3, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1LabelSegment', 4, repeated=True) version = _messages.StringField(5) class GoogleCloudVideointelligenceV1LabelDetectionConfig(_messages.Message): r"""Config 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. """ class LabelDetectionModeValueValuesEnum(_messages.Enum): r"""What 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. """ LABEL_DETECTION_MODE_UNSPECIFIED = 0 SHOT_MODE = 1 FRAME_MODE = 2 SHOT_AND_FRAME_MODE = 3 frameConfidenceThreshold = _messages.FloatField(1, variant=_messages.Variant.FLOAT) labelDetectionMode = _messages.EnumField('LabelDetectionModeValueValuesEnum', 2) model = _messages.StringField(3) stationaryCamera = _messages.BooleanField(4) videoConfidenceThreshold = _messages.FloatField(5, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1LabelFrame(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1LabelSegment(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 2) class GoogleCloudVideointelligenceV1LogoRecognitionAnnotation(_messages.Message): r"""Annotation 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. """ entity = _messages.MessageField('GoogleCloudVideointelligenceV1Entity', 1) segments = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 2, repeated=True) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1Track', 3, repeated=True) class GoogleCloudVideointelligenceV1NormalizedBoundingBox(_messages.Message): r"""Normalized 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. """ bottom = _messages.FloatField(1, variant=_messages.Variant.FLOAT) left = _messages.FloatField(2, variant=_messages.Variant.FLOAT) right = _messages.FloatField(3, variant=_messages.Variant.FLOAT) top = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1NormalizedBoundingPoly(_messages.Message): r"""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 trigonometric calculations for location of the box. Fields: vertices: Normalized vertices of the bounding polygon. """ vertices = _messages.MessageField('GoogleCloudVideointelligenceV1NormalizedVertex', 1, repeated=True) class GoogleCloudVideointelligenceV1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1ObjectTrackingAnnotation(_messages.Message): r"""Annotations 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) entity = _messages.MessageField('GoogleCloudVideointelligenceV1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1ObjectTrackingFrame', 3, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 4) trackId = _messages.IntegerField(5) version = _messages.StringField(6) class GoogleCloudVideointelligenceV1ObjectTrackingConfig(_messages.Message): r"""Config for OBJECT_TRACKING. Fields: model: Model to use for object tracking. Supported values: "builtin/stable" (the default if unset) and "builtin/latest". """ model = _messages.StringField(1) class GoogleCloudVideointelligenceV1ObjectTrackingFrame(_messages.Message): r"""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. """ normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1NormalizedBoundingBox', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1PersonDetectionAnnotation(_messages.Message): r"""Person detection annotation per video. Fields: tracks: The detected tracks of a person. version: Feature version. """ tracks = _messages.MessageField('GoogleCloudVideointelligenceV1Track', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1PersonDetectionConfig(_messages.Message): r"""Config 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. """ includeAttributes = _messages.BooleanField(1) includeBoundingBoxes = _messages.BooleanField(2) includePoseLandmarks = _messages.BooleanField(3) class GoogleCloudVideointelligenceV1ShotChangeDetectionConfig(_messages.Message): r"""Config 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". """ model = _messages.StringField(1) class GoogleCloudVideointelligenceV1SpeechContext(_messages.Message): r"""Provides "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). """ phrases = _messages.StringField(1, repeated=True) class GoogleCloudVideointelligenceV1SpeechRecognitionAlternative(_messages.Message): r"""Alternative 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) transcript = _messages.StringField(2) words = _messages.MessageField('GoogleCloudVideointelligenceV1WordInfo', 3, repeated=True) class GoogleCloudVideointelligenceV1SpeechTranscription(_messages.Message): r"""A 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. """ alternatives = _messages.MessageField('GoogleCloudVideointelligenceV1SpeechRecognitionAlternative', 1, repeated=True) languageCode = _messages.StringField(2) class GoogleCloudVideointelligenceV1SpeechTranscriptionConfig(_messages.Message): r"""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. """ audioTracks = _messages.IntegerField(1, repeated=True, variant=_messages.Variant.INT32) diarizationSpeakerCount = _messages.IntegerField(2, variant=_messages.Variant.INT32) enableAutomaticPunctuation = _messages.BooleanField(3) enableSpeakerDiarization = _messages.BooleanField(4) enableWordConfidence = _messages.BooleanField(5) filterProfanity = _messages.BooleanField(6) languageCode = _messages.StringField(7) maxAlternatives = _messages.IntegerField(8, variant=_messages.Variant.INT32) speechContexts = _messages.MessageField('GoogleCloudVideointelligenceV1SpeechContext', 9, repeated=True) class GoogleCloudVideointelligenceV1TextAnnotation(_messages.Message): r"""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. """ segments = _messages.MessageField('GoogleCloudVideointelligenceV1TextSegment', 1, repeated=True) text = _messages.StringField(2) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1TextDetectionConfig(_messages.Message): r"""Config 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". """ languageHints = _messages.StringField(1, repeated=True) model = _messages.StringField(2) class GoogleCloudVideointelligenceV1TextFrame(_messages.Message): r"""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. Fields: rotatedBoundingBox: Bounding polygon of the detected text for this frame. timeOffset: Timestamp of this frame. """ rotatedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1NormalizedBoundingPoly', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1TextSegment(_messages.Message): r"""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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) frames = _messages.MessageField('GoogleCloudVideointelligenceV1TextFrame', 2, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 3) class GoogleCloudVideointelligenceV1TimestampedObject(_messages.Message): r"""For 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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1DetectedAttribute', 1, repeated=True) landmarks = _messages.MessageField('GoogleCloudVideointelligenceV1DetectedLandmark', 2, repeated=True) normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1NormalizedBoundingBox', 3) timeOffset = _messages.StringField(4) class GoogleCloudVideointelligenceV1Track(_messages.Message): r"""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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1DetectedAttribute', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 3) timestampedObjects = _messages.MessageField('GoogleCloudVideointelligenceV1TimestampedObject', 4, repeated=True) class GoogleCloudVideointelligenceV1VideoAnnotationProgress(_messages.Message): r"""Annotation 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. """ class FeatureValueValuesEnum(_messages.Enum): r"""Specifies 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. """ FEATURE_UNSPECIFIED = 0 LABEL_DETECTION = 1 SHOT_CHANGE_DETECTION = 2 EXPLICIT_CONTENT_DETECTION = 3 FACE_DETECTION = 4 SPEECH_TRANSCRIPTION = 5 TEXT_DETECTION = 6 OBJECT_TRACKING = 7 LOGO_RECOGNITION = 8 PERSON_DETECTION = 9 exportStatus = _messages.MessageField('GoogleCloudVideointelligenceV1ExportToOutputUriStatus', 1) feature = _messages.EnumField('FeatureValueValuesEnum', 2) inputUri = _messages.StringField(3) progressPercent = _messages.IntegerField(4, variant=_messages.Variant.INT32) segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 5) startTime = _messages.StringField(6) updateTime = _messages.StringField(7) class GoogleCloudVideointelligenceV1VideoAnnotationResults(_messages.Message): r"""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. """ error = _messages.MessageField('GoogleRpcStatus', 1) explicitAnnotation = _messages.MessageField('GoogleCloudVideointelligenceV1ExplicitContentAnnotation', 2) faceAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1FaceAnnotation', 3, repeated=True) faceDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1FaceDetectionAnnotation', 4, repeated=True) frameLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1LabelAnnotation', 5, repeated=True) inputUri = _messages.StringField(6) logoRecognitionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1LogoRecognitionAnnotation', 7, repeated=True) objectAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1ObjectTrackingAnnotation', 8, repeated=True) personDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1PersonDetectionAnnotation', 9, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 10) segmentLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1LabelAnnotation', 11, repeated=True) segmentPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1LabelAnnotation', 12, repeated=True) shotAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 13, repeated=True) shotLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1LabelAnnotation', 14, repeated=True) shotPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1LabelAnnotation', 15, repeated=True) speechTranscriptions = _messages.MessageField('GoogleCloudVideointelligenceV1SpeechTranscription', 16, repeated=True) textAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1TextAnnotation', 17, repeated=True) class GoogleCloudVideointelligenceV1VideoContext(_messages.Message): r"""Video 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. """ explicitContentDetectionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1ExplicitContentDetectionConfig', 1) faceDetectionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1FaceDetectionConfig', 2) labelDetectionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1LabelDetectionConfig', 3) objectTrackingConfig = _messages.MessageField('GoogleCloudVideointelligenceV1ObjectTrackingConfig', 4) personDetectionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1PersonDetectionConfig', 5) segments = _messages.MessageField('GoogleCloudVideointelligenceV1VideoSegment', 6, repeated=True) shotChangeDetectionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1ShotChangeDetectionConfig', 7) speechTranscriptionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1SpeechTranscriptionConfig', 8) textDetectionConfig = _messages.MessageField('GoogleCloudVideointelligenceV1TextDetectionConfig', 9) class GoogleCloudVideointelligenceV1VideoSegment(_messages.Message): r"""Video 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). """ endTimeOffset = _messages.StringField(1) startTimeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1WordInfo(_messages.Message): r"""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`. 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. This is an experimental feature and the accuracy of the time offset can vary. word: The word corresponding to this set of information. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) endTime = _messages.StringField(2) speakerTag = _messages.IntegerField(3, variant=_messages.Variant.INT32) startTime = _messages.StringField(4) word = _messages.StringField(5) class GoogleCloudVideointelligenceV1beta2AnnotateVideoProgress(_messages.Message): r"""Video 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`. """ annotationProgress = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoAnnotationProgress', 1, repeated=True) class GoogleCloudVideointelligenceV1beta2AnnotateVideoResponse(_messages.Message): r"""Video 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`. """ annotationResults = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoAnnotationResults', 1, repeated=True) class GoogleCloudVideointelligenceV1beta2DetectedAttribute(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) value = _messages.StringField(3) class GoogleCloudVideointelligenceV1beta2DetectedLandmark(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) point = _messages.MessageField('GoogleCloudVideointelligenceV1beta2NormalizedVertex', 3) class GoogleCloudVideointelligenceV1beta2Entity(_messages.Message): r"""Detected 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. """ description = _messages.StringField(1) entityId = _messages.StringField(2) languageCode = _messages.StringField(3) class GoogleCloudVideointelligenceV1beta2ExplicitContentAnnotation(_messages.Message): r"""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. """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1beta2ExplicitContentFrame', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2ExplicitContentFrame(_messages.Message): r"""Video frame level annotation results for explicit content. Enums: PornographyLikelihoodValueValuesEnum: Likelihood of the pornography content.. Fields: pornographyLikelihood: Likelihood of the pornography content.. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. """ class PornographyLikelihoodValueValuesEnum(_messages.Enum): r"""Likelihood of the pornography content.. Values: LIKELIHOOD_UNSPECIFIED: Unspecified likelihood. VERY_UNLIKELY: Very unlikely. UNLIKELY: Unlikely. POSSIBLE: Possible. LIKELY: Likely. VERY_LIKELY: Very likely. """ LIKELIHOOD_UNSPECIFIED = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 pornographyLikelihood = _messages.EnumField('PornographyLikelihoodValueValuesEnum', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2ExportToOutputUriStatus(_messages.Message): r"""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. """ class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the `output_uri` export. Values: STATE_UNSPECIFIED: Default value. SUCCEEDED: Export succeeded. FAILED: Export failed. """ STATE_UNSPECIFIED = 0 SUCCEEDED = 1 FAILED = 2 state = _messages.EnumField('StateValueValuesEnum', 1) status = _messages.MessageField('GoogleRpcStatus', 2) class GoogleCloudVideointelligenceV1beta2FaceAnnotation(_messages.Message): r"""Deprecated. 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). """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1beta2FaceFrame', 1, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1beta2FaceSegment', 2, repeated=True) thumbnail = _messages.BytesField(3) class GoogleCloudVideointelligenceV1beta2FaceDetectionAnnotation(_messages.Message): r"""Face detection annotation. Fields: thumbnail: The thumbnail of a person's face. tracks: The face tracks with attributes. version: Feature version. """ thumbnail = _messages.BytesField(1) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Track', 2, repeated=True) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1beta2FaceFrame(_messages.Message): r"""Deprecated. 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. """ normalizedBoundingBoxes = _messages.MessageField('GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox', 1, repeated=True) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2FaceSegment(_messages.Message): r"""Video segment level annotation results for face detection. Fields: segment: Video segment where a face was detected. """ segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 1) class GoogleCloudVideointelligenceV1beta2LabelAnnotation(_messages.Message): r"""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. """ categoryEntities = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Entity', 1, repeated=True) entity = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelFrame', 3, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelSegment', 4, repeated=True) version = _messages.StringField(5) class GoogleCloudVideointelligenceV1beta2LabelFrame(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2LabelSegment(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 2) class GoogleCloudVideointelligenceV1beta2LogoRecognitionAnnotation(_messages.Message): r"""Annotation 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. """ entity = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Entity', 1) segments = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 2, repeated=True) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Track', 3, repeated=True) class GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox(_messages.Message): r"""Normalized 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. """ bottom = _messages.FloatField(1, variant=_messages.Variant.FLOAT) left = _messages.FloatField(2, variant=_messages.Variant.FLOAT) right = _messages.FloatField(3, variant=_messages.Variant.FLOAT) top = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1beta2NormalizedBoundingPoly(_messages.Message): r"""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 trigonometric calculations for location of the box. Fields: vertices: Normalized vertices of the bounding polygon. """ vertices = _messages.MessageField('GoogleCloudVideointelligenceV1beta2NormalizedVertex', 1, repeated=True) class GoogleCloudVideointelligenceV1beta2NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1beta2ObjectTrackingAnnotation(_messages.Message): r"""Annotations 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) entity = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1beta2ObjectTrackingFrame', 3, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 4) trackId = _messages.IntegerField(5) version = _messages.StringField(6) class GoogleCloudVideointelligenceV1beta2ObjectTrackingFrame(_messages.Message): r"""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. """ normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2PersonDetectionAnnotation(_messages.Message): r"""Person detection annotation per video. Fields: tracks: The detected tracks of a person. version: Feature version. """ tracks = _messages.MessageField('GoogleCloudVideointelligenceV1beta2Track', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2SpeechRecognitionAlternative(_messages.Message): r"""Alternative 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) transcript = _messages.StringField(2) words = _messages.MessageField('GoogleCloudVideointelligenceV1beta2WordInfo', 3, repeated=True) class GoogleCloudVideointelligenceV1beta2SpeechTranscription(_messages.Message): r"""A 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. """ alternatives = _messages.MessageField('GoogleCloudVideointelligenceV1beta2SpeechRecognitionAlternative', 1, repeated=True) languageCode = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2TextAnnotation(_messages.Message): r"""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. """ segments = _messages.MessageField('GoogleCloudVideointelligenceV1beta2TextSegment', 1, repeated=True) text = _messages.StringField(2) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1beta2TextFrame(_messages.Message): r"""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. Fields: rotatedBoundingBox: Bounding polygon of the detected text for this frame. timeOffset: Timestamp of this frame. """ rotatedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1beta2NormalizedBoundingPoly', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2TextSegment(_messages.Message): r"""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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) frames = _messages.MessageField('GoogleCloudVideointelligenceV1beta2TextFrame', 2, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 3) class GoogleCloudVideointelligenceV1beta2TimestampedObject(_messages.Message): r"""For 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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1beta2DetectedAttribute', 1, repeated=True) landmarks = _messages.MessageField('GoogleCloudVideointelligenceV1beta2DetectedLandmark', 2, repeated=True) normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1beta2NormalizedBoundingBox', 3) timeOffset = _messages.StringField(4) class GoogleCloudVideointelligenceV1beta2Track(_messages.Message): r"""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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1beta2DetectedAttribute', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 3) timestampedObjects = _messages.MessageField('GoogleCloudVideointelligenceV1beta2TimestampedObject', 4, repeated=True) class GoogleCloudVideointelligenceV1beta2VideoAnnotationProgress(_messages.Message): r"""Annotation 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. """ class FeatureValueValuesEnum(_messages.Enum): r"""Specifies 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. """ FEATURE_UNSPECIFIED = 0 LABEL_DETECTION = 1 SHOT_CHANGE_DETECTION = 2 EXPLICIT_CONTENT_DETECTION = 3 FACE_DETECTION = 4 SPEECH_TRANSCRIPTION = 5 TEXT_DETECTION = 6 OBJECT_TRACKING = 7 LOGO_RECOGNITION = 8 PERSON_DETECTION = 9 exportStatus = _messages.MessageField('GoogleCloudVideointelligenceV1beta2ExportToOutputUriStatus', 1) feature = _messages.EnumField('FeatureValueValuesEnum', 2) inputUri = _messages.StringField(3) progressPercent = _messages.IntegerField(4, variant=_messages.Variant.INT32) segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 5) startTime = _messages.StringField(6) updateTime = _messages.StringField(7) class GoogleCloudVideointelligenceV1beta2VideoAnnotationResults(_messages.Message): r"""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. """ error = _messages.MessageField('GoogleRpcStatus', 1) explicitAnnotation = _messages.MessageField('GoogleCloudVideointelligenceV1beta2ExplicitContentAnnotation', 2) faceAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2FaceAnnotation', 3, repeated=True) faceDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2FaceDetectionAnnotation', 4, repeated=True) frameLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelAnnotation', 5, repeated=True) inputUri = _messages.StringField(6) logoRecognitionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LogoRecognitionAnnotation', 7, repeated=True) objectAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2ObjectTrackingAnnotation', 8, repeated=True) personDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2PersonDetectionAnnotation', 9, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 10) segmentLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelAnnotation', 11, repeated=True) segmentPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelAnnotation', 12, repeated=True) shotAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2VideoSegment', 13, repeated=True) shotLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelAnnotation', 14, repeated=True) shotPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2LabelAnnotation', 15, repeated=True) speechTranscriptions = _messages.MessageField('GoogleCloudVideointelligenceV1beta2SpeechTranscription', 16, repeated=True) textAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1beta2TextAnnotation', 17, repeated=True) class GoogleCloudVideointelligenceV1beta2VideoSegment(_messages.Message): r"""Video 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). """ endTimeOffset = _messages.StringField(1) startTimeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1beta2WordInfo(_messages.Message): r"""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`. 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. This is an experimental feature and the accuracy of the time offset can vary. word: The word corresponding to this set of information. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) endTime = _messages.StringField(2) speakerTag = _messages.IntegerField(3, variant=_messages.Variant.INT32) startTime = _messages.StringField(4) word = _messages.StringField(5) class GoogleCloudVideointelligenceV1p1beta1AnnotateVideoProgress(_messages.Message): r"""Video 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`. """ annotationProgress = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoAnnotationProgress', 1, repeated=True) class GoogleCloudVideointelligenceV1p1beta1AnnotateVideoResponse(_messages.Message): r"""Video 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`. """ annotationResults = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoAnnotationResults', 1, repeated=True) class GoogleCloudVideointelligenceV1p1beta1DetectedAttribute(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) value = _messages.StringField(3) class GoogleCloudVideointelligenceV1p1beta1DetectedLandmark(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) point = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1NormalizedVertex', 3) class GoogleCloudVideointelligenceV1p1beta1Entity(_messages.Message): r"""Detected 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. """ description = _messages.StringField(1) entityId = _messages.StringField(2) languageCode = _messages.StringField(3) class GoogleCloudVideointelligenceV1p1beta1ExplicitContentAnnotation(_messages.Message): r"""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. """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1ExplicitContentFrame', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1ExplicitContentFrame(_messages.Message): r"""Video frame level annotation results for explicit content. Enums: PornographyLikelihoodValueValuesEnum: Likelihood of the pornography content.. Fields: pornographyLikelihood: Likelihood of the pornography content.. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. """ class PornographyLikelihoodValueValuesEnum(_messages.Enum): r"""Likelihood of the pornography content.. Values: LIKELIHOOD_UNSPECIFIED: Unspecified likelihood. VERY_UNLIKELY: Very unlikely. UNLIKELY: Unlikely. POSSIBLE: Possible. LIKELY: Likely. VERY_LIKELY: Very likely. """ LIKELIHOOD_UNSPECIFIED = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 pornographyLikelihood = _messages.EnumField('PornographyLikelihoodValueValuesEnum', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1ExportToOutputUriStatus(_messages.Message): r"""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. """ class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the `output_uri` export. Values: STATE_UNSPECIFIED: Default value. SUCCEEDED: Export succeeded. FAILED: Export failed. """ STATE_UNSPECIFIED = 0 SUCCEEDED = 1 FAILED = 2 state = _messages.EnumField('StateValueValuesEnum', 1) status = _messages.MessageField('GoogleRpcStatus', 2) class GoogleCloudVideointelligenceV1p1beta1FaceAnnotation(_messages.Message): r"""Deprecated. 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). """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1FaceFrame', 1, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1FaceSegment', 2, repeated=True) thumbnail = _messages.BytesField(3) class GoogleCloudVideointelligenceV1p1beta1FaceDetectionAnnotation(_messages.Message): r"""Face detection annotation. Fields: thumbnail: The thumbnail of a person's face. tracks: The face tracks with attributes. version: Feature version. """ thumbnail = _messages.BytesField(1) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Track', 2, repeated=True) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1p1beta1FaceFrame(_messages.Message): r"""Deprecated. 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. """ normalizedBoundingBoxes = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox', 1, repeated=True) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1FaceSegment(_messages.Message): r"""Video segment level annotation results for face detection. Fields: segment: Video segment where a face was detected. """ segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 1) class GoogleCloudVideointelligenceV1p1beta1LabelAnnotation(_messages.Message): r"""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. """ categoryEntities = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Entity', 1, repeated=True) entity = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelFrame', 3, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelSegment', 4, repeated=True) version = _messages.StringField(5) class GoogleCloudVideointelligenceV1p1beta1LabelFrame(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1LabelSegment(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 2) class GoogleCloudVideointelligenceV1p1beta1LogoRecognitionAnnotation(_messages.Message): r"""Annotation 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. """ entity = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Entity', 1) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 2, repeated=True) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Track', 3, repeated=True) class GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox(_messages.Message): r"""Normalized 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. """ bottom = _messages.FloatField(1, variant=_messages.Variant.FLOAT) left = _messages.FloatField(2, variant=_messages.Variant.FLOAT) right = _messages.FloatField(3, variant=_messages.Variant.FLOAT) top = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingPoly(_messages.Message): r"""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 trigonometric calculations for location of the box. Fields: vertices: Normalized vertices of the bounding polygon. """ vertices = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1NormalizedVertex', 1, repeated=True) class GoogleCloudVideointelligenceV1p1beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p1beta1ObjectTrackingAnnotation(_messages.Message): r"""Annotations 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) entity = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1ObjectTrackingFrame', 3, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 4) trackId = _messages.IntegerField(5) version = _messages.StringField(6) class GoogleCloudVideointelligenceV1p1beta1ObjectTrackingFrame(_messages.Message): r"""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. """ normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1PersonDetectionAnnotation(_messages.Message): r"""Person detection annotation per video. Fields: tracks: The detected tracks of a person. version: Feature version. """ tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1Track', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1SpeechRecognitionAlternative(_messages.Message): r"""Alternative 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) transcript = _messages.StringField(2) words = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1WordInfo', 3, repeated=True) class GoogleCloudVideointelligenceV1p1beta1SpeechTranscription(_messages.Message): r"""A 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. """ alternatives = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1SpeechRecognitionAlternative', 1, repeated=True) languageCode = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1TextAnnotation(_messages.Message): r"""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. """ segments = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1TextSegment', 1, repeated=True) text = _messages.StringField(2) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1p1beta1TextFrame(_messages.Message): r"""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. Fields: rotatedBoundingBox: Bounding polygon of the detected text for this frame. timeOffset: Timestamp of this frame. """ rotatedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingPoly', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1TextSegment(_messages.Message): r"""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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1TextFrame', 2, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 3) class GoogleCloudVideointelligenceV1p1beta1TimestampedObject(_messages.Message): r"""For 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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1DetectedAttribute', 1, repeated=True) landmarks = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1DetectedLandmark', 2, repeated=True) normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1NormalizedBoundingBox', 3) timeOffset = _messages.StringField(4) class GoogleCloudVideointelligenceV1p1beta1Track(_messages.Message): r"""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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1DetectedAttribute', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 3) timestampedObjects = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1TimestampedObject', 4, repeated=True) class GoogleCloudVideointelligenceV1p1beta1VideoAnnotationProgress(_messages.Message): r"""Annotation 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. """ class FeatureValueValuesEnum(_messages.Enum): r"""Specifies 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. """ FEATURE_UNSPECIFIED = 0 LABEL_DETECTION = 1 SHOT_CHANGE_DETECTION = 2 EXPLICIT_CONTENT_DETECTION = 3 FACE_DETECTION = 4 SPEECH_TRANSCRIPTION = 5 TEXT_DETECTION = 6 OBJECT_TRACKING = 7 LOGO_RECOGNITION = 8 PERSON_DETECTION = 9 exportStatus = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1ExportToOutputUriStatus', 1) feature = _messages.EnumField('FeatureValueValuesEnum', 2) inputUri = _messages.StringField(3) progressPercent = _messages.IntegerField(4, variant=_messages.Variant.INT32) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 5) startTime = _messages.StringField(6) updateTime = _messages.StringField(7) class GoogleCloudVideointelligenceV1p1beta1VideoAnnotationResults(_messages.Message): r"""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. """ error = _messages.MessageField('GoogleRpcStatus', 1) explicitAnnotation = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1ExplicitContentAnnotation', 2) faceAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1FaceAnnotation', 3, repeated=True) faceDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1FaceDetectionAnnotation', 4, repeated=True) frameLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelAnnotation', 5, repeated=True) inputUri = _messages.StringField(6) logoRecognitionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LogoRecognitionAnnotation', 7, repeated=True) objectAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1ObjectTrackingAnnotation', 8, repeated=True) personDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1PersonDetectionAnnotation', 9, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 10) segmentLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelAnnotation', 11, repeated=True) segmentPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelAnnotation', 12, repeated=True) shotAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1VideoSegment', 13, repeated=True) shotLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelAnnotation', 14, repeated=True) shotPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1LabelAnnotation', 15, repeated=True) speechTranscriptions = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1SpeechTranscription', 16, repeated=True) textAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p1beta1TextAnnotation', 17, repeated=True) class GoogleCloudVideointelligenceV1p1beta1VideoSegment(_messages.Message): r"""Video 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). """ endTimeOffset = _messages.StringField(1) startTimeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p1beta1WordInfo(_messages.Message): r"""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`. 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. This is an experimental feature and the accuracy of the time offset can vary. word: The word corresponding to this set of information. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) endTime = _messages.StringField(2) speakerTag = _messages.IntegerField(3, variant=_messages.Variant.INT32) startTime = _messages.StringField(4) word = _messages.StringField(5) class GoogleCloudVideointelligenceV1p2beta1AnnotateVideoProgress(_messages.Message): r"""Video 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`. """ annotationProgress = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoAnnotationProgress', 1, repeated=True) class GoogleCloudVideointelligenceV1p2beta1AnnotateVideoResponse(_messages.Message): r"""Video 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`. """ annotationResults = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults', 1, repeated=True) class GoogleCloudVideointelligenceV1p2beta1DetectedAttribute(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) value = _messages.StringField(3) class GoogleCloudVideointelligenceV1p2beta1DetectedLandmark(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) point = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1NormalizedVertex', 3) class GoogleCloudVideointelligenceV1p2beta1Entity(_messages.Message): r"""Detected 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. """ description = _messages.StringField(1) entityId = _messages.StringField(2) languageCode = _messages.StringField(3) class GoogleCloudVideointelligenceV1p2beta1ExplicitContentAnnotation(_messages.Message): r"""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. """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1ExplicitContentFrame', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1ExplicitContentFrame(_messages.Message): r"""Video frame level annotation results for explicit content. Enums: PornographyLikelihoodValueValuesEnum: Likelihood of the pornography content.. Fields: pornographyLikelihood: Likelihood of the pornography content.. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. """ class PornographyLikelihoodValueValuesEnum(_messages.Enum): r"""Likelihood of the pornography content.. Values: LIKELIHOOD_UNSPECIFIED: Unspecified likelihood. VERY_UNLIKELY: Very unlikely. UNLIKELY: Unlikely. POSSIBLE: Possible. LIKELY: Likely. VERY_LIKELY: Very likely. """ LIKELIHOOD_UNSPECIFIED = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 pornographyLikelihood = _messages.EnumField('PornographyLikelihoodValueValuesEnum', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1ExportToOutputUriStatus(_messages.Message): r"""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. """ class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the `output_uri` export. Values: STATE_UNSPECIFIED: Default value. SUCCEEDED: Export succeeded. FAILED: Export failed. """ STATE_UNSPECIFIED = 0 SUCCEEDED = 1 FAILED = 2 state = _messages.EnumField('StateValueValuesEnum', 1) status = _messages.MessageField('GoogleRpcStatus', 2) class GoogleCloudVideointelligenceV1p2beta1FaceAnnotation(_messages.Message): r"""Deprecated. 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). """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1FaceFrame', 1, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1FaceSegment', 2, repeated=True) thumbnail = _messages.BytesField(3) class GoogleCloudVideointelligenceV1p2beta1FaceDetectionAnnotation(_messages.Message): r"""Face detection annotation. Fields: thumbnail: The thumbnail of a person's face. tracks: The face tracks with attributes. version: Feature version. """ thumbnail = _messages.BytesField(1) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Track', 2, repeated=True) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1p2beta1FaceFrame(_messages.Message): r"""Deprecated. 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. """ normalizedBoundingBoxes = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox', 1, repeated=True) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1FaceSegment(_messages.Message): r"""Video segment level annotation results for face detection. Fields: segment: Video segment where a face was detected. """ segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 1) class GoogleCloudVideointelligenceV1p2beta1LabelAnnotation(_messages.Message): r"""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. """ categoryEntities = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Entity', 1, repeated=True) entity = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelFrame', 3, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelSegment', 4, repeated=True) version = _messages.StringField(5) class GoogleCloudVideointelligenceV1p2beta1LabelFrame(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1LabelSegment(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 2) class GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotation(_messages.Message): r"""Annotation 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. """ entity = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Entity', 1) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 2, repeated=True) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Track', 3, repeated=True) class GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox(_messages.Message): r"""Normalized 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. """ bottom = _messages.FloatField(1, variant=_messages.Variant.FLOAT) left = _messages.FloatField(2, variant=_messages.Variant.FLOAT) right = _messages.FloatField(3, variant=_messages.Variant.FLOAT) top = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingPoly(_messages.Message): r"""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 trigonometric calculations for location of the box. Fields: vertices: Normalized vertices of the bounding polygon. """ vertices = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1NormalizedVertex', 1, repeated=True) class GoogleCloudVideointelligenceV1p2beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotation(_messages.Message): r"""Annotations 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) entity = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1ObjectTrackingFrame', 3, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 4) trackId = _messages.IntegerField(5) version = _messages.StringField(6) class GoogleCloudVideointelligenceV1p2beta1ObjectTrackingFrame(_messages.Message): r"""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. """ normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotation(_messages.Message): r"""Person detection annotation per video. Fields: tracks: The detected tracks of a person. version: Feature version. """ tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1Track', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1SpeechRecognitionAlternative(_messages.Message): r"""Alternative 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) transcript = _messages.StringField(2) words = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1WordInfo', 3, repeated=True) class GoogleCloudVideointelligenceV1p2beta1SpeechTranscription(_messages.Message): r"""A 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. """ alternatives = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1SpeechRecognitionAlternative', 1, repeated=True) languageCode = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1TextAnnotation(_messages.Message): r"""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. """ segments = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1TextSegment', 1, repeated=True) text = _messages.StringField(2) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1p2beta1TextFrame(_messages.Message): r"""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. Fields: rotatedBoundingBox: Bounding polygon of the detected text for this frame. timeOffset: Timestamp of this frame. """ rotatedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingPoly', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1TextSegment(_messages.Message): r"""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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1TextFrame', 2, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 3) class GoogleCloudVideointelligenceV1p2beta1TimestampedObject(_messages.Message): r"""For 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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1DetectedAttribute', 1, repeated=True) landmarks = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1DetectedLandmark', 2, repeated=True) normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1NormalizedBoundingBox', 3) timeOffset = _messages.StringField(4) class GoogleCloudVideointelligenceV1p2beta1Track(_messages.Message): r"""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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1DetectedAttribute', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 3) timestampedObjects = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1TimestampedObject', 4, repeated=True) class GoogleCloudVideointelligenceV1p2beta1VideoAnnotationProgress(_messages.Message): r"""Annotation 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. """ class FeatureValueValuesEnum(_messages.Enum): r"""Specifies 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. """ FEATURE_UNSPECIFIED = 0 LABEL_DETECTION = 1 SHOT_CHANGE_DETECTION = 2 EXPLICIT_CONTENT_DETECTION = 3 FACE_DETECTION = 4 SPEECH_TRANSCRIPTION = 5 TEXT_DETECTION = 6 OBJECT_TRACKING = 7 LOGO_RECOGNITION = 8 PERSON_DETECTION = 9 exportStatus = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1ExportToOutputUriStatus', 1) feature = _messages.EnumField('FeatureValueValuesEnum', 2) inputUri = _messages.StringField(3) progressPercent = _messages.IntegerField(4, variant=_messages.Variant.INT32) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 5) startTime = _messages.StringField(6) updateTime = _messages.StringField(7) class GoogleCloudVideointelligenceV1p2beta1VideoAnnotationResults(_messages.Message): r"""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. """ error = _messages.MessageField('GoogleRpcStatus', 1) explicitAnnotation = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1ExplicitContentAnnotation', 2) faceAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1FaceAnnotation', 3, repeated=True) faceDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1FaceDetectionAnnotation', 4, repeated=True) frameLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelAnnotation', 5, repeated=True) inputUri = _messages.StringField(6) logoRecognitionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LogoRecognitionAnnotation', 7, repeated=True) objectAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1ObjectTrackingAnnotation', 8, repeated=True) personDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1PersonDetectionAnnotation', 9, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 10) segmentLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelAnnotation', 11, repeated=True) segmentPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelAnnotation', 12, repeated=True) shotAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1VideoSegment', 13, repeated=True) shotLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelAnnotation', 14, repeated=True) shotPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1LabelAnnotation', 15, repeated=True) speechTranscriptions = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1SpeechTranscription', 16, repeated=True) textAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p2beta1TextAnnotation', 17, repeated=True) class GoogleCloudVideointelligenceV1p2beta1VideoSegment(_messages.Message): r"""Video 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). """ endTimeOffset = _messages.StringField(1) startTimeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p2beta1WordInfo(_messages.Message): r"""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`. 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. This is an experimental feature and the accuracy of the time offset can vary. word: The word corresponding to this set of information. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) endTime = _messages.StringField(2) speakerTag = _messages.IntegerField(3, variant=_messages.Variant.INT32) startTime = _messages.StringField(4) word = _messages.StringField(5) class GoogleCloudVideointelligenceV1p3beta1AnnotateVideoProgress(_messages.Message): r"""Video 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`. """ annotationProgress = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoAnnotationProgress', 1, repeated=True) class GoogleCloudVideointelligenceV1p3beta1AnnotateVideoResponse(_messages.Message): r"""Video 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`. """ annotationResults = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults', 1, repeated=True) class GoogleCloudVideointelligenceV1p3beta1Celebrity(_messages.Message): r"""Celebrity definition. Fields: description: Textual description of additional information about the celebrity, if applicable. displayName: The celebrity name. 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. """ description = _messages.StringField(1) displayName = _messages.StringField(2) name = _messages.StringField(3) class GoogleCloudVideointelligenceV1p3beta1CelebrityRecognitionAnnotation(_messages.Message): r"""Celebrity recognition annotation per video. Fields: celebrityTracks: The tracks detected from the input video, including recognized celebrities and other detected faces in the video. version: Feature version. """ celebrityTracks = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1CelebrityTrack', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1CelebrityTrack(_messages.Message): r"""The annotation result of a celebrity face track. RecognizedCelebrity field could be empty if the face track does not have any matched celebrities. Fields: celebrities: Top N match of the celebrities for the face in this track. faceTrack: A track of a person's face. """ celebrities = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1RecognizedCelebrity', 1, repeated=True) faceTrack = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Track', 2) class GoogleCloudVideointelligenceV1p3beta1DetectedAttribute(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) value = _messages.StringField(3) class GoogleCloudVideointelligenceV1p3beta1DetectedLandmark(_messages.Message): r"""A 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) name = _messages.StringField(2) point = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1NormalizedVertex', 3) class GoogleCloudVideointelligenceV1p3beta1Entity(_messages.Message): r"""Detected 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. """ description = _messages.StringField(1) entityId = _messages.StringField(2) languageCode = _messages.StringField(3) class GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation(_messages.Message): r"""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. """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ExplicitContentFrame', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1ExplicitContentFrame(_messages.Message): r"""Video frame level annotation results for explicit content. Enums: PornographyLikelihoodValueValuesEnum: Likelihood of the pornography content.. Fields: pornographyLikelihood: Likelihood of the pornography content.. timeOffset: Time-offset, relative to the beginning of the video, corresponding to the video frame for this location. """ class PornographyLikelihoodValueValuesEnum(_messages.Enum): r"""Likelihood of the pornography content.. Values: LIKELIHOOD_UNSPECIFIED: Unspecified likelihood. VERY_UNLIKELY: Very unlikely. UNLIKELY: Unlikely. POSSIBLE: Possible. LIKELY: Likely. VERY_LIKELY: Very likely. """ LIKELIHOOD_UNSPECIFIED = 0 VERY_UNLIKELY = 1 UNLIKELY = 2 POSSIBLE = 3 LIKELY = 4 VERY_LIKELY = 5 pornographyLikelihood = _messages.EnumField('PornographyLikelihoodValueValuesEnum', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1ExportToOutputUriStatus(_messages.Message): r"""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. """ class StateValueValuesEnum(_messages.Enum): r"""Output only. State of the `output_uri` export. Values: STATE_UNSPECIFIED: Default value. SUCCEEDED: Export succeeded. FAILED: Export failed. """ STATE_UNSPECIFIED = 0 SUCCEEDED = 1 FAILED = 2 state = _messages.EnumField('StateValueValuesEnum', 1) status = _messages.MessageField('GoogleRpcStatus', 2) class GoogleCloudVideointelligenceV1p3beta1FaceAnnotation(_messages.Message): r"""Deprecated. 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). """ frames = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1FaceFrame', 1, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1FaceSegment', 2, repeated=True) thumbnail = _messages.BytesField(3) class GoogleCloudVideointelligenceV1p3beta1FaceDetectionAnnotation(_messages.Message): r"""Face detection annotation. Fields: thumbnail: The thumbnail of a person's face. tracks: The face tracks with attributes. version: Feature version. """ thumbnail = _messages.BytesField(1) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Track', 2, repeated=True) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1p3beta1FaceFrame(_messages.Message): r"""Deprecated. 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. """ normalizedBoundingBoxes = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox', 1, repeated=True) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1FaceSegment(_messages.Message): r"""Video segment level annotation results for face detection. Fields: segment: Video segment where a face was detected. """ segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 1) class GoogleCloudVideointelligenceV1p3beta1LabelAnnotation(_messages.Message): r"""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. """ categoryEntities = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Entity', 1, repeated=True) entity = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelFrame', 3, repeated=True) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelSegment', 4, repeated=True) version = _messages.StringField(5) class GoogleCloudVideointelligenceV1p3beta1LabelFrame(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1LabelSegment(_messages.Message): r"""Video 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 2) class GoogleCloudVideointelligenceV1p3beta1LogoRecognitionAnnotation(_messages.Message): r"""Annotation 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. """ entity = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Entity', 1) segments = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 2, repeated=True) tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Track', 3, repeated=True) class GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox(_messages.Message): r"""Normalized 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. """ bottom = _messages.FloatField(1, variant=_messages.Variant.FLOAT) left = _messages.FloatField(2, variant=_messages.Variant.FLOAT) right = _messages.FloatField(3, variant=_messages.Variant.FLOAT) top = _messages.FloatField(4, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingPoly(_messages.Message): r"""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 trigonometric calculations for location of the box. Fields: vertices: Normalized vertices of the bounding polygon. """ vertices = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1NormalizedVertex', 1, repeated=True) class GoogleCloudVideointelligenceV1p3beta1NormalizedVertex(_messages.Message): r"""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. Fields: x: X coordinate. y: Y coordinate. """ x = _messages.FloatField(1, variant=_messages.Variant.FLOAT) y = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation(_messages.Message): r"""Annotations 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) entity = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Entity', 2) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ObjectTrackingFrame', 3, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 4) trackId = _messages.IntegerField(5) version = _messages.StringField(6) class GoogleCloudVideointelligenceV1p3beta1ObjectTrackingFrame(_messages.Message): r"""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. """ normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1PersonDetectionAnnotation(_messages.Message): r"""Person detection annotation per video. Fields: tracks: The detected tracks of a person. version: Feature version. """ tracks = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Track', 1, repeated=True) version = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1RecognizedCelebrity(_messages.Message): r"""The recognized celebrity with confidence score. Fields: celebrity: The recognized celebrity. confidence: Recognition confidence. Range [0, 1]. """ celebrity = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1Celebrity', 1) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) class GoogleCloudVideointelligenceV1p3beta1SpeechRecognitionAlternative(_messages.Message): r"""Alternative 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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) transcript = _messages.StringField(2) words = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1WordInfo', 3, repeated=True) class GoogleCloudVideointelligenceV1p3beta1SpeechTranscription(_messages.Message): r"""A 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. """ alternatives = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1SpeechRecognitionAlternative', 1, repeated=True) languageCode = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1StreamingAnnotateVideoResponse(_messages.Message): r"""`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. """ annotationResults = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1StreamingVideoAnnotationResults', 1) annotationResultsUri = _messages.StringField(2) error = _messages.MessageField('GoogleRpcStatus', 3) class GoogleCloudVideointelligenceV1p3beta1StreamingVideoAnnotationResults(_messages.Message): r"""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. 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. """ explicitAnnotation = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation', 1) frameTimestamp = _messages.StringField(2) labelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelAnnotation', 3, repeated=True) objectAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation', 4, repeated=True) shotAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 5, repeated=True) class GoogleCloudVideointelligenceV1p3beta1TextAnnotation(_messages.Message): r"""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. """ segments = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1TextSegment', 1, repeated=True) text = _messages.StringField(2) version = _messages.StringField(3) class GoogleCloudVideointelligenceV1p3beta1TextFrame(_messages.Message): r"""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. Fields: rotatedBoundingBox: Bounding polygon of the detected text for this frame. timeOffset: Timestamp of this frame. """ rotatedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingPoly', 1) timeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1TextSegment(_messages.Message): r"""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. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) frames = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1TextFrame', 2, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 3) class GoogleCloudVideointelligenceV1p3beta1TimestampedObject(_messages.Message): r"""For 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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1DetectedAttribute', 1, repeated=True) landmarks = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1DetectedLandmark', 2, repeated=True) normalizedBoundingBox = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1NormalizedBoundingBox', 3) timeOffset = _messages.StringField(4) class GoogleCloudVideointelligenceV1p3beta1Track(_messages.Message): r"""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. """ attributes = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1DetectedAttribute', 1, repeated=True) confidence = _messages.FloatField(2, variant=_messages.Variant.FLOAT) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 3) timestampedObjects = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1TimestampedObject', 4, repeated=True) class GoogleCloudVideointelligenceV1p3beta1VideoAnnotationProgress(_messages.Message): r"""Annotation 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. """ class FeatureValueValuesEnum(_messages.Enum): r"""Specifies 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. """ FEATURE_UNSPECIFIED = 0 LABEL_DETECTION = 1 SHOT_CHANGE_DETECTION = 2 EXPLICIT_CONTENT_DETECTION = 3 FACE_DETECTION = 4 SPEECH_TRANSCRIPTION = 5 TEXT_DETECTION = 6 OBJECT_TRACKING = 7 LOGO_RECOGNITION = 8 CELEBRITY_RECOGNITION = 9 PERSON_DETECTION = 10 exportStatus = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ExportToOutputUriStatus', 1) feature = _messages.EnumField('FeatureValueValuesEnum', 2) inputUri = _messages.StringField(3) progressPercent = _messages.IntegerField(4, variant=_messages.Variant.INT32) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 5) startTime = _messages.StringField(6) updateTime = _messages.StringField(7) class GoogleCloudVideointelligenceV1p3beta1VideoAnnotationResults(_messages.Message): r"""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. """ celebrityRecognitionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1CelebrityRecognitionAnnotation', 1) error = _messages.MessageField('GoogleRpcStatus', 2) explicitAnnotation = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ExplicitContentAnnotation', 3) faceAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1FaceAnnotation', 4, repeated=True) faceDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1FaceDetectionAnnotation', 5, repeated=True) frameLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelAnnotation', 6, repeated=True) inputUri = _messages.StringField(7) logoRecognitionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LogoRecognitionAnnotation', 8, repeated=True) objectAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1ObjectTrackingAnnotation', 9, repeated=True) personDetectionAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1PersonDetectionAnnotation', 10, repeated=True) segment = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 11) segmentLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelAnnotation', 12, repeated=True) segmentPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelAnnotation', 13, repeated=True) shotAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1VideoSegment', 14, repeated=True) shotLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelAnnotation', 15, repeated=True) shotPresenceLabelAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1LabelAnnotation', 16, repeated=True) speechTranscriptions = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1SpeechTranscription', 17, repeated=True) textAnnotations = _messages.MessageField('GoogleCloudVideointelligenceV1p3beta1TextAnnotation', 18, repeated=True) class GoogleCloudVideointelligenceV1p3beta1VideoSegment(_messages.Message): r"""Video 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). """ endTimeOffset = _messages.StringField(1) startTimeOffset = _messages.StringField(2) class GoogleCloudVideointelligenceV1p3beta1WordInfo(_messages.Message): r"""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`. 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. This is an experimental feature and the accuracy of the time offset can vary. word: The word corresponding to this set of information. """ confidence = _messages.FloatField(1, variant=_messages.Variant.FLOAT) endTime = _messages.StringField(2) speakerTag = _messages.IntegerField(3, variant=_messages.Variant.INT32) startTime = _messages.StringField(4) word = _messages.StringField(5) class GoogleLongrunningCancelOperationRequest(_messages.Message): r"""The request message for Operations.CancelOperation.""" class GoogleLongrunningListOperationsResponse(_messages.Message): r"""The response message for Operations.ListOperations. Fields: nextPageToken: The standard List next-page token. operations: A list of operations that matches the specified filter in the request. unreachable: Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections e.g. when attempting to list all resources across all supported locations. """ nextPageToken = _messages.StringField(1) operations = _messages.MessageField('GoogleLongrunningOperation', 2, repeated=True) unreachable = _messages.StringField(3, repeated=True) class GoogleLongrunningOperation(_messages.Message): r"""This resource represents a long-running operation that is the result of a network API call. Messages: MetadataValue: 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. ResponseValue: The normal, successful response of the operation. 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`. Fields: done: 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. error: The error result of the operation in case of failure or cancellation. metadata: 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. name: 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}`. response: The normal, successful response of the operation. 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`. """ @encoding.MapUnrecognizedFields('additionalProperties') class MetadataValue(_messages.Message): r"""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. Messages: AdditionalProperty: An additional property for a MetadataValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a MetadataValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) @encoding.MapUnrecognizedFields('additionalProperties') class ResponseValue(_messages.Message): r"""The normal, successful response of the operation. 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`. Messages: AdditionalProperty: An additional property for a ResponseValue object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a ResponseValue object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) done = _messages.BooleanField(1) error = _messages.MessageField('GoogleRpcStatus', 2) metadata = _messages.MessageField('MetadataValue', 3) name = _messages.StringField(4) response = _messages.MessageField('ResponseValue', 5) class GoogleProtobufEmpty(_messages.Message): r"""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); } """ class GoogleRpcStatus(_messages.Message): r"""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). Messages: DetailsValueListEntry: A DetailsValueListEntry object. Fields: code: The status code, which should be an enum value of google.rpc.Code. details: A list of messages that carry the error details. There is a common set of message types for APIs to use. message: 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. """ @encoding.MapUnrecognizedFields('additionalProperties') class DetailsValueListEntry(_messages.Message): r"""A DetailsValueListEntry object. Messages: AdditionalProperty: An additional property for a DetailsValueListEntry object. Fields: additionalProperties: Properties of the object. Contains field @type with type URL. """ class AdditionalProperty(_messages.Message): r"""An additional property for a DetailsValueListEntry object. Fields: key: Name of the additional property. value: A extra_types.JsonValue attribute. """ key = _messages.StringField(1) value = _messages.MessageField('extra_types.JsonValue', 2) additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True) code = _messages.IntegerField(1, variant=_messages.Variant.INT32) details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True) message = _messages.StringField(3) class StandardQueryParameters(_messages.Message): r"""Query parameters accepted by all methods. Enums: FXgafvValueValuesEnum: V1 error format. AltValueValuesEnum: Data format for response. Fields: f__xgafv: V1 error format. access_token: OAuth access token. alt: Data format for response. callback: JSONP fields: Selector specifying which fields to include in a partial response. key: API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token. oauth_token: OAuth 2.0 token for the current user. prettyPrint: Returns response with indentations and line breaks. quotaUser: Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. trace: A tracing token of the form "token:" 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"). """ class AltValueValuesEnum(_messages.Enum): r"""Data 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 """ json = 0 media = 1 proto = 2 class FXgafvValueValuesEnum(_messages.Enum): r"""V1 error format. Values: _1: v1 error format _2: v2 error format """ _1 = 0 _2 = 1 f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1) access_token = _messages.StringField(2) alt = _messages.EnumField('AltValueValuesEnum', 3, default='json') callback = _messages.StringField(4) fields = _messages.StringField(5) key = _messages.StringField(6) oauth_token = _messages.StringField(7) prettyPrint = _messages.BooleanField(8, default=True) quotaUser = _messages.StringField(9) trace = _messages.StringField(10) uploadType = _messages.StringField(11) upload_protocol = _messages.StringField(12) class VideointelligenceOperationsProjectsLocationsOperationsCancelRequest(_messages.Message): r"""A VideointelligenceOperationsProjectsLocationsOperationsCancelRequest object. Fields: name: The name of the operation resource to be cancelled. """ name = _messages.StringField(1, required=True) class VideointelligenceOperationsProjectsLocationsOperationsDeleteRequest(_messages.Message): r"""A VideointelligenceOperationsProjectsLocationsOperationsDeleteRequest object. Fields: name: The name of the operation resource to be deleted. """ name = _messages.StringField(1, required=True) class VideointelligenceOperationsProjectsLocationsOperationsGetRequest(_messages.Message): r"""A VideointelligenceOperationsProjectsLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class VideointelligenceProjectsLocationsOperationsCancelRequest(_messages.Message): r"""A VideointelligenceProjectsLocationsOperationsCancelRequest object. Fields: googleLongrunningCancelOperationRequest: A GoogleLongrunningCancelOperationRequest resource to be passed as the request body. name: The name of the operation resource to be cancelled. """ googleLongrunningCancelOperationRequest = _messages.MessageField('GoogleLongrunningCancelOperationRequest', 1) name = _messages.StringField(2, required=True) class VideointelligenceProjectsLocationsOperationsDeleteRequest(_messages.Message): r"""A VideointelligenceProjectsLocationsOperationsDeleteRequest object. Fields: name: The name of the operation resource to be deleted. """ name = _messages.StringField(1, required=True) class VideointelligenceProjectsLocationsOperationsGetRequest(_messages.Message): r"""A VideointelligenceProjectsLocationsOperationsGetRequest object. Fields: name: The name of the operation resource. """ name = _messages.StringField(1, required=True) class VideointelligenceProjectsLocationsOperationsListRequest(_messages.Message): r"""A 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. """ filter = _messages.StringField(1) name = _messages.StringField(2, required=True) pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32) pageToken = _messages.StringField(4) returnPartialSuccess = _messages.BooleanField(5) encoding.AddCustomJsonFieldMapping( StandardQueryParameters, 'f__xgafv', '$.xgafv') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1') encoding.AddCustomJsonEnumMapping( StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2')