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from .image_base import ImageBaseDataset |
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from ..smp import * |
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class COCO_Caption_Scorer(): |
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def __init__(self, ref, gt): |
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from pycocoevalcap.bleu.bleu import Bleu |
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from pycocoevalcap.rouge.rouge import Rouge |
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from pycocoevalcap.cider.cider import Cider |
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self.ref = ref |
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self.gt = gt |
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print('setting up scorers...') |
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self.scorers = [ |
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(Bleu(4), ['Bleu_1', 'Bleu_2', 'Bleu_3', 'Bleu_4']), |
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(Rouge(), 'ROUGE_L'), |
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(Cider(), 'CIDEr'), |
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] |
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def compute_scores(self): |
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total_scores = {} |
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for scorer, method in self.scorers: |
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print('computing %s score...' % (scorer.method())) |
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score, scores = scorer.compute_score(self.gt, self.ref) |
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if isinstance(method, list): |
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for sc, scs, m in zip(score, scores, method): |
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print('%s: %0.3f' % (m, sc * 100)) |
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total_scores['Bleu'] = [x * 100 for x in score] |
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else: |
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print('%s: %0.3f' % (method, score * 100)) |
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total_scores[method] = score * 100 |
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print('*****DONE*****') |
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for key, value in total_scores.items(): |
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print('{}:{}'.format(key, value)) |
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return total_scores |
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class ImageCaptionDataset(ImageBaseDataset): |
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TYPE = 'Caption' |
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DATASET_URL = { |
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'COCO_VAL': 'https://opencompass.openxlab.space/utils/VLMEval/COCO_VAL.tsv', |
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} |
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DATASET_MD5 = { |
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'COCO_VAL': '72a5079dead060269ac222c5aa5128af', |
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} |
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def load_data(self, dataset): |
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data = super().load_data(dataset) |
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if 'question' not in data: |
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data['question'] = [( |
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'Please describe this image in general. Directly provide the description, ' |
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'do not include prefix like "This image depicts". ' |
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)] * len(data) |
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return data |
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@classmethod |
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def evaluate(self, eval_file, **kwargs): |
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data = load(eval_file) |
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lt = len(data) |
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lines = [data.iloc[i] for i in range(lt)] |
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ref, gt = {}, {} |
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for i, line in enumerate(lines): |
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ref[str(i)] = [str(line['prediction'])] |
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gt[str(i)] = eval(line['answer']) |
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scorer = COCO_Caption_Scorer(ref, gt) |
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coco_caption_score_dict = scorer.compute_scores() |
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score_pth = eval_file.replace('.xlsx', '_score.json') |
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dump(coco_caption_score_dict, score_pth) |
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return coco_caption_score_dict |
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