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Package Classes (2.16.2) | Python client library

Summary of entries of Classes for videointelligence.

Service that implements the Video Intelligence API.

Service that implements the Video Intelligence API.

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.

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

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.

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.

Video frame level annotation results for explicit content.

Deprecated. No effect.

Face detection annotation.

Config for FACE_DETECTION.

Deprecated. No effect.

Video segment level annotation results for face detection.

Video annotation feature.

Label annotation.

Config for LABEL_DETECTION.

Label detection mode.

Video frame level annotation results for label detection.

Video segment level annotation results for label detection.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Config for OBJECT_TRACKING.

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

Person detection annotation per video.

Config for PERSON_DETECTION.

Config for SHOT_CHANGE_DETECTION.

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

Alternative hypotheses (a.k.a. n-best list).

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

Config for SPEECH_TRANSCRIPTION.

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.

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.

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

A track of an object instance.

Annotation progress for a single video.

Annotation results for a single video.

Video context and/or feature-specific parameters.

Video segment.

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.

Service that implements Google Cloud Video Intelligence API.

Service that implements Google Cloud Video Intelligence API.

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.

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

Detected entity from video analysis.

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.

Video frame level annotation results for explicit content.

Face annotation.

Config for FACE_DETECTION.

Video frame level annotation results for face detection.

Video segment level annotation results for face detection.

Video annotation feature.

Label annotation.

Config for LABEL_DETECTION.

Label detection mode.

Video frame level annotation results for label detection.

Video segment level annotation results for label detection.

Bucketized representation of likelihood.

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

Config for SHOT_CHANGE_DETECTION.

Annotation progress for a single video.

Annotation results for a single video.

Video context and/or feature-specific parameters.

Video segment.

Service that implements Google Cloud Video Intelligence API.

Service that implements Google Cloud Video Intelligence API.

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.

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

Detected entity from video analysis.

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.

Video frame level annotation results for explicit content.

Video annotation feature.

Label annotation.

Config for LABEL_DETECTION.

Label detection mode.

Video frame level annotation results for label detection.

Video segment level annotation results for label detection.

Bucketized representation of likelihood.

Config for SHOT_CHANGE_DETECTION.

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

Alternative hypotheses (a.k.a. n-best list).

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

Config for SPEECH_TRANSCRIPTION.

Annotation progress for a single video.

Annotation results for a single video.

Video context and/or feature-specific parameters.

Video segment.

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.

Service that implements Google Cloud Video Intelligence API.

Service that implements Google Cloud Video Intelligence API.

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.

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

Detected entity from video analysis.

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.

Video frame level annotation results for explicit content.

Video annotation feature.

Label annotation.

Config for LABEL_DETECTION.

Label detection mode.

Video frame level annotation results for label detection.

Video segment level annotation results for label detection.

Bucketized representation of likelihood.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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

Config for SHOT_CHANGE_DETECTION.

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.

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.

Annotation progress for a single video.

Annotation results for a single video.

Video context and/or feature-specific parameters.

Video segment.

Service that implements streaming Video Intelligence API.

Service that implements streaming Video Intelligence API.

Service that implements the Video Intelligence API.

Service that implements the Video Intelligence API.

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.

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

Celebrity definition.

Celebrity recognition annotation per video.

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

The recognized celebrity with confidence score.

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.

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.

Video frame level annotation results for explicit content.

Face detection annotation.

Config for FACE_DETECTION.

Video annotation feature.

Label annotation.

Config for LABEL_DETECTION.

Label detection mode.

Video frame level annotation results for label detection.

Video segment level annotation results for label detection.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Config for OBJECT_TRACKING.

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

Person detection annotation per video.

Config for PERSON_DETECTION.

Config for SHOT_CHANGE_DETECTION.

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

Alternative hypotheses (a.k.a. n-best list).

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

Config for SPEECH_TRANSCRIPTION.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.

Config for STREAMING_AUTOML_CLASSIFICATION.

Config for STREAMING_AUTOML_OBJECT_TRACKING.

Config for STREAMING_EXPLICIT_CONTENT_DETECTION.

Streaming video annotation feature.

Config for STREAMING_LABEL_DETECTION.

Config for STREAMING_OBJECT_TRACKING.

Config for STREAMING_SHOT_CHANGE_DETECTION.

Config for streaming storage option.

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.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.

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.

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

A track of an object instance.

Annotation progress for a single video.

Annotation results for a single video.

Video context and/or feature-specific parameters.

Video segment.

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.

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