Spaces:
Runtime error
Runtime error
| # Filename: cider.py | |
| # | |
| # | |
| # Description: Describes the class to compute the CIDEr | |
| # (Consensus-Based Image Description Evaluation) Metric | |
| # by Vedantam, Zitnick, and Parikh (http://arxiv.org/abs/1411.5726) | |
| # | |
| # Creation Date: Sun Feb 8 14:16:54 2015 | |
| # | |
| # Authors: Ramakrishna Vedantam <vrama91@vt.edu> and | |
| # Tsung-Yi Lin <tl483@cornell.edu> | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| from .cider_scorer import CiderScorer | |
| class Cider: | |
| """ | |
| Main Class to compute the CIDEr metric | |
| """ | |
| def __init__(self, n=4, df="corpus"): | |
| """ | |
| Initialize the CIDEr scoring function | |
| : param n (int): n-gram size | |
| : param df (string): specifies where to get the IDF values from | |
| takes values 'corpus', 'coco-train' | |
| : return: None | |
| """ | |
| # set cider to sum over 1 to 4-grams | |
| self._n = n | |
| self._df = df | |
| self.cider_scorer = CiderScorer(n=self._n, df_mode=self._df) | |
| def compute_score(self, gts, res): | |
| """ | |
| Main function to compute CIDEr score | |
| : param gts (dict) : {image:tokenized reference sentence} | |
| : param res (dict) : {image:tokenized candidate sentence} | |
| : return: cider (float) : computed CIDEr score for the corpus | |
| """ | |
| # clear all the previous hypos and refs | |
| self.cider_scorer.clear() | |
| for res_id in res: | |
| hypo = res_id['caption'] | |
| ref = gts[res_id['image_id']] | |
| # Sanity check. | |
| assert(type(hypo) is list) | |
| assert(len(hypo) == 1) | |
| assert(type(ref) is list) | |
| assert(len(ref) > 0) | |
| self.cider_scorer += (hypo[0], ref) | |
| (score, scores) = self.cider_scorer.compute_score() | |
| return score, scores | |
| def method(self): | |
| return "CIDEr" | |