Package types (2.3.3)

Video annotation progress. Included in the metadata field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Video annotation request. .. attribute:: input_uri

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][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.

:type: str

Video annotation response. Included in the response field of the Operation returned by the GetOperation call of the google::longrunning::Operations service.

Celebrity definition. .. attribute:: 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.

:type: str

Celebrity recognition annotation per video. .. attribute:: celebrity_tracks

The tracks detected from the input video, including recognized celebrities and other detected faces in the video.

:type: Sequence[google.cloud.videointelligence_v1p3beta1.types.CelebrityTrack]

The annotation result of a celebrity face track. RecognizedCelebrity field could be empty if the face track does not have any matched celebrities.

A generic detected attribute represented by name in string format.

A generic detected landmark represented by name in string format and a 2D location.

Detected entity from video analysis. .. attribute:: entity_id

Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API <https://developers.google.com/knowledge-graph/>__.

:type: str

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.

Config for EXPLICIT_CONTENT_DETECTION. .. attribute:: model

Model to use for explicit content detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

:type: str

Video frame level annotation results for explicit content. .. attribute:: time_offset

Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.

:type: google.protobuf.duration_pb2.Duration

Face detection annotation. .. attribute:: tracks

The face tracks with attributes.

:type: Sequence[google.cloud.videointelligence_v1p3beta1.types.Track]

Config for FACE_DETECTION. .. attribute:: model

Model to use for face detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

:type: str

Video annotation feature.

Label annotation. .. attribute:: entity

Detected entity.

:type: google.cloud.videointelligence_v1p3beta1.types.Entity

Config for LABEL_DETECTION. .. attribute:: label_detection_mode

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

:type: google.cloud.videointelligence_v1p3beta1.types.LabelDetectionMode

Label detection mode.

Video frame level annotation results for label detection. .. attribute:: time_offset

Time-offset, relative to the beginning of the video, corresponding to the video frame for this location.

:type: google.protobuf.duration_pb2.Duration

Video segment level annotation results for label detection. .. attribute:: segment

Video segment where a label was detected.

:type: google.cloud.videointelligence_v1p3beta1.types.VideoSegment

Bucketized representation of likelihood.

Annotation corresponding to one detected, tracked and recognized logo class.

Normalized bounding box. The normalized vertex coordinates are relative to the original image. Range: [0, 1].

Normalized bounding polygon for text (that might not be aligned with axis). Contains list of the corner points in clockwise order starting from top-left corner. For example, for a rectangular bounding box: When the text is horizontal it might look like: 0----1 | | 3----2

When it's clockwise rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0

and the vertex order will still be (0, 1, 2, 3). Note that values can be less than 0, or greater than 1 due to trignometric calculations for location of the box.

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.

Annotations corresponding to one tracked object. .. attribute:: segment

Non-streaming batch mode ONLY. Each object track corresponds to one video segment where it appears.

:type: google.cloud.videointelligence_v1p3beta1.types.VideoSegment

Config for OBJECT_TRACKING. .. attribute:: model

Model to use for object tracking. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

:type: str

Video frame level annotations for object detection and tracking. This field stores per frame location, time offset, and confidence.

Person detection annotation per video. .. attribute:: tracks

The detected tracks of a person.

:type: Sequence[google.cloud.videointelligence_v1p3beta1.types.Track]

Config for PERSON_DETECTION. .. attribute:: include_bounding_boxes

Whether bounding boxes are included in the person detection annotation output.

:type: bool

Config for SHOT_CHANGE_DETECTION. .. attribute:: model

Model to use for shot change detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

:type: str

Provides "hints" to the speech recognizer to favor specific words and phrases in the results.

Alternative hypotheses (a.k.a. n-best list). .. attribute:: transcript

Transcript text representing the words that the user spoke.

:type: str

A speech recognition result corresponding to a portion of the audio.

Config for SPEECH_TRANSCRIPTION. .. attribute:: language_code

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.

:type: str

The top-level message sent by the client for the StreamingAnnotateVideo method. Multiple StreamingAnnotateVideoRequest messages are sent. The first message must only contain a StreamingVideoConfig message. All subsequent messages must only contain input_content data.

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.

Config for STREAMING_AUTOML_ACTION_RECOGNITION. .. attribute:: model_name

Resource name of AutoML model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

:type: str

Config for STREAMING_AUTOML_CLASSIFICATION. .. attribute:: model_name

Resource name of AutoML model. Format: projects/{project_number}/locations/{location_id}/models/{model_id}

:type: str

Config for STREAMING_AUTOML_OBJECT_TRACKING. .. attribute:: model_name

Resource name of AutoML model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

:type: str

Config for STREAMING_EXPLICIT_CONTENT_DETECTION.

Streaming video annotation feature.

Config for STREAMING_LABEL_DETECTION. .. attribute:: stationary_camera

Whether the video has been captured from a stationary (i.e. non-moving) camera. When set to true, might improve detection accuracy for moving objects. Default: false.

:type: bool

Config for STREAMING_OBJECT_TRACKING.

Config for STREAMING_SHOT_CHANGE_DETECTION.

Config for streaming storage option. .. attribute:: enable_storage_annotation_result

Enable streaming storage. Default: false.

:type: bool

Streaming annotation results corresponding to a portion of the video that is currently being processed.

Provides information to the annotator that specifies how to process the request.

Annotations related to one detected OCR text snippet. This will contain the corresponding text, confidence value, and frame level information for each detection.

Config for TEXT_DETECTION. .. attribute:: language_hints

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.

:type: Sequence[str]

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.

Video segment level annotation results for text detection. .. attribute:: segment

Video segment where a text snippet was detected.

:type: google.cloud.videointelligence_v1p3beta1.types.VideoSegment

For tracking related features. An object at time_offset with attributes, and located with normalized_bounding_box.

A track of an object instance. .. attribute:: segment

Video segment of a track.

:type: google.cloud.videointelligence_v1p3beta1.types.VideoSegment

Annotation progress for a single video. .. attribute:: input_uri

Video file location in Cloud Storage <https://cloud.google.com/storage/>__.

:type: str

Annotation results for a single video. .. attribute:: input_uri

Video file location in Cloud Storage <https://cloud.google.com/storage/>__.

:type: str

Video context and/or feature-specific parameters. .. attribute:: 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.

:type: Sequence[google.cloud.videointelligence_v1p3beta1.types.VideoSegment]

Video segment. .. attribute:: start_time_offset

Time-offset, relative to the beginning of the video, corresponding to the start of the segment (inclusive).

:type: google.protobuf.duration_pb2.Duration

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.