d835c2656618fe0d227c7eb15eecb4847e8b6475,lazyflow/operators/obsolete/classifierOperators.py,OpPredictRandomForest,execute,#OpPredictRandomForest#Any#Any#Any#,211

Before Change

        shape=res.shape
        prod = 1
        for i,e in enumerate(shape):
            if i < len(shape) - 1:
                prod *= e

        features=res.reshape(prod, shape[-1])

        prediction=RF.predictProbabilities(features.astype(numpy.float32))

After Change

        // If our LabelsCount is higher than the number of labels in the training set,
        // then our results aren"t really valid.
        // Duplicate the last label"s predictions
        chanslice = slice(min(key[-1].start, RF.labelCount()-1), min(key[-1].stop, RF.labelCount()))
        result[...]=prediction[...,chanslice]*255 // FIXME: This assumes that channel is the last axis

Instances