235256fee1943ba44ec4dc1d49d53845571b6b37,python/vmaf/core/quality_runner.py,VmafexecQualityRunner,_get_quality_scores,#VmafexecQualityRunner#Any#,1361

Before Change

                    scores_dict[scores_key].append(float(frame.attrib[scores_key]))
            for i_feature, feature in enumerate(self.FEATURES):
                try:
                    feature_scores[i_feature].append(float(frame.attrib["integer_" + feature]))
                except KeyError:
                    try:
                        feature_scores[i_feature].append(float(frame.attrib[feature])) //
                    except KeyError:

After Change

            for i_feature, feature in enumerate(self.FEATURES):

                // first look for exact match integer_xxx
                feature_found = self._discover_feature_exact(
                    frame, i_feature,
                    "integer_" + feature, feature,
                    feature_scores, feature_nicknames)

                if feature_found:
                    continue

                // look for exact match xxx
                feature_found = self._discover_feature_exact(
                    frame, i_feature,
                    feature, feature,
                    feature_scores, feature_nicknames)

                if feature_found:
                    continue

                // wildcard discovery: look for integer_xxx_*
                feature_found = self._discover_feature_wildcard(
                    frame, i_feature,
                    "integer_" + feature + "_", feature,
                    feature_scores, feature_nicknames)

                if feature_found:
                    continue

                // wildcard discovery: look for xxx_*
                feature_found = self._discover_feature_wildcard(
                    frame, i_feature,
                    feature + "_", feature,
                    feature_scores, feature_nicknames)

        for scores_key in scores_keys:
            assert len(scores_dict[scores_key]) != 0 \
                   or any([len(feature_score) != 0 for feature_score in feature_scores])

Instances