classify(mlpose = this) 
	{
		if (mlpose.settings.brain.type != 'featureextractor' && mlpose.poses.length > 0) {
			let inputs = mlpose.getInputs(mlpose);
			mlpose.brain.classify(inputs, (error, results) => mlpose.getResults(error, results, mlpose));
		} else if (mlpose.settings.brain.type == 'featureextractor') {
			mlpose.brain.classify((error, results) => mlpose.getResults(error, results, mlpose));
		}
	}
/* 
    * Classifies detections. Also called after training to start classification automatically upon training completion
	* @mlpose: MlBody object is passed to the method
    */
Classifies detections. Also called after training to start classification automatically upon training completion
@mlpose: MlBody object is passed to the method
Classifies detections . Also called after training to start classification automatically upon training completion @mlpose : MlBody object is passed to the method
classify(mlpose = this) 
	{
		if (mlpose.settings.brain.type != 'featureextractor' && mlpose.poses.length > 0) {
			let inputs = mlpose.getInputs(mlpose);
			mlpose.brain.classify(inputs, (error, results) => mlpose.getResults(error, results, mlpose));
		} else if (mlpose.settings.brain.type == 'featureextractor') {
			mlpose.brain.classify((error, results) => mlpose.getResults(error, results, mlpose));
		}
	}
classify ( mlpose = this ) { if ( mlpose . settings . brain . type != 'featureextractor' && mlpose . poses . length > 0 ) { let inputs = mlpose . getInputs ( mlpose ) ; mlpose . brain . classify ( inputs , ( error , results ) => mlpose . getResults ( error , results , mlpose ) ) ; } else if ( mlpose . settings . brain . type == 'featureextractor' ) { mlpose . brain . classify ( ( error , results ) => mlpose . getResults ( error , results , mlpose ) ) ; } }
Classifies detections.
Classifies detections .