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

Before Change

        nlabels=self.inputs["LabelsCount"].value

        RF=self.inputs["Classifier"].value
        assert RF.labelCount() == nlabels, "ERROR: OpPredictRandomForest, labelCount differs from true labelCount! %r vs. %r" % (RF.labelCount(), nlabels)

        newKey = key[:-1]
        newKey += (slice(0,self.inputs["Image"].shape[-1],None),)

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