Made Python 3 compatible and included Word Mover's Distance metric. #37
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Signed-off-by: mtanti <[email protected]>
kdongyi
suggested changes
Nov 4, 2019
| @@ -85,7 +85,7 @@ def compute_score(self, gts, res): | |||
| for image_id in imgIds: | |||
| # Convert none to NaN before saving scores over subcategories | |||
| score_set = {} | |||
| for category,score_tuple in imgId_to_scores[image_id].iteritems(): | |||
| for category,score_tuple in imgId_to_scores[image_id].items(): | |||
| score_set[category] = {k: self.float_convert(v) for k, v in score_tuple.items()} | |||
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score_set[category] = {k: self.float_convert(v) for k, v in list(score_tuple.items())}
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I have added the Word Mover's Distance metric that was introduced by Mert Kilickaya et al. in their paper "Re-evaluating Automatic Metrics for Image Captioning". I believe this will be a useful addition to the standard evaluation toolkit just like SPICE.
Signed-off-by: mtanti [email protected]