apache_beam.ml.gcp.videointelligenceml module

A connector for sending API requests to the GCP Video Intelligence API.

class apache_beam.ml.gcp.videointelligenceml.AnnotateVideo(features, location_id=None, metadata=None, timeout=120, context_side_input=None)[source]

Bases: apache_beam.transforms.ptransform.PTransform

A PTransform for annotating video using the GCP Video Intelligence API ref: https://cloud.google.com/video-intelligence/docs

Sends each element to the GCP Video Intelligence API. Element is a Union[str, bytes] of either an URI (e.g. a GCS URI) or bytes base64-encoded video data. Accepts an AsDict side input that maps each video to a video context.

Parameters:
  • features – (List[videointelligence_v1.enums.Feature]) Required. The Video Intelligence API features to detect
  • location_id – (str) Optional. Cloud region where annotation should take place. If no region is specified, a region will be determined based on video file location.
  • metadata – (Sequence[Tuple[str, str]]) Optional. Additional metadata that is provided to the method.
  • timeout – (int) Optional. The time in seconds to wait for the response from the Video Intelligence API
  • context_side_input –

    (beam.pvalue.AsDict) Optional. An AsDict of a PCollection to be passed to the _VideoAnnotateFn as the video context mapping containing additional video context and/or feature-specific parameters. Example usage:

    video_contexts =
  [('gs://cloud-samples-data/video/cat.mp4', Union[dict,
  ``videointelligence_v1.types.VideoContext``]),
  ('gs://some-other-video/sample.mp4', Union[dict,
  ``videointelligence_v1.types.VideoContext``]),]

context_side_input =
  (
    p
    | "Video contexts" >> beam.Create(video_contexts)
  )

videointelligenceml.AnnotateVideo(features,
  context_side_input=beam.pvalue.AsDict(context_side_input)))
expand(pvalue)[source]
class apache_beam.ml.gcp.videointelligenceml.AnnotateVideoWithContext(features, location_id=None, metadata=None, timeout=120)[source]

Bases: apache_beam.ml.gcp.videointelligenceml.AnnotateVideo

A PTransform for annotating video using the GCP Video Intelligence API ref: https://cloud.google.com/video-intelligence/docs

Sends each element to the GCP Video Intelligence API. Element is a tuple of

(Union[str, bytes], Optional[videointelligence.types.VideoContext])

where the former is either an URI (e.g. a GCS URI) or bytes base64-encoded video data

Parameters:
  • features – (List[videointelligence_v1.enums.Feature]) Required. the Video Intelligence API features to detect
  • location_id – (str) Optional. Cloud region where annotation should take place. If no region is specified, a region will be determined based on video file location.
  • metadata – (Sequence[Tuple[str, str]]) Optional. Additional metadata that is provided to the method.
  • timeout – (int) Optional. The time in seconds to wait for the response from the Video Intelligence API
expand(pvalue)[source]