MLActionClassifier.DataSource.labeledVideoDataFrame(_:videoColumn:labelColumn:startTimeColumn:endTimeColumn:)

Declaration

case labeledVideoDataFrame(DataFrame, videoColumn: String = __Defaults.videoColumnName, labelColumn: String = __Defaults.labelColumnName, startTimeColumn: String? = nil, endTimeColumn: String? = nil)

Parameters

• dataFrame:

  A DataFrame containing video paths and labels.

• videoColumn:

  The name of the column containing the video paths. Defaults to “videoPath”.

• labelColumn:

  The name of the column containing the labels. Defaults to “label”.

• startTimeColumn:

  The name of the column containing the start time. If nil start time is 0.

• endTimeColumn:

  The name of the column containing the end time. If nil end time is the end of the video.

Discussion

The data frame must contain a column of video file paths and a column of labels. It can also contain columns with start and end times.

See Also

Extracting key points

• extractKeypoints(targetFrameRate:)
• MLActionClassifier.DataSource.labeledKeypointsDataFrame(_:sessionIdColumn:labelColumn:featureColumn:)
• MLActionClassifier.DataSource.labeledKeypointsData(table:sessionIdColumn:labelColumn:featureColumn:)