1b0348a9b65fabfb5d45534cfde25c504890a56f,chainercv/extensions/semantic_segmentation/semantic_segmentation_evaluator.py,SemanticSegmentationEvaluator,evaluate,#SemanticSegmentationEvaluator#,49

Before Change

        with reporter.report_scope(observation):
            for label_name, iou in zip(self.label_names, ious):
                reporter.report({"{}/iou".format(label_name): iou}, target)
            reporter.report({"miou": np.nanmean(ious)}, target)
        return observation

After Change

        report = {"miou": np.nanmean(iou)}

        if self.label_names is not None:
            for l, label_name in enumerate(self.label_names):
                try:
                    report["iou/{:s}".format(label_name)] = iou[l]
                except IndexError:
                    report["iou/{:s}".format(label_name)] = np.nan

        observation = {}
        with reporter.report_scope(observation):
            reporter.report(report, target)
        return observation

Instances