Download eval/coco_caption/pycocoevalcap/eval_spice.py from datnguyentien204/BLIP_ImagesCaptioning: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/datasets/datnguyentien204/BLIP_ImagesCaptioning/resolve/main/eval/coco_caption/pycocoevalcap/eval_spice.py
- Command line
-
hf download hf://datasets/datnguyentien204/BLIP_ImagesCaptioning/eval/coco_caption/pycocoevalcap/eval_spice.py
-
curl -L -o eval_spice.py https://huggingface.co/datasets/datnguyentien204/BLIP_ImagesCaptioning/resolve/main/eval/coco_caption/pycocoevalcap/eval_spice.py
4.03 kB
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| __author__ = 'tylin' | |
| from .tokenizer.ptbtokenizer import PTBTokenizer | |
| from .spice.spice import Spice | |
| class SpiceEval(): | |
| def __init__(self): | |
| self.evalImgs = [] | |
| self.eval = {} | |
| self.imgToEval = {} | |
| self.spice = Spice() | |
| self.tokenizer = PTBTokenizer() | |
| """ | |
| The input have structure | |
| {'123': [{'image_id':123, 'caption': 'xxxxx'}, {'image_id':123, 'caption': 'yyy'}], ...} | |
| """ | |
| def evaluate(self, gts, res): | |
| assert set(gts.keys()) == set(res.keys()) | |
| imgIds = list(gts.keys()) | |
| gts = self.tokenizer.tokenize(gts) | |
| res = self.tokenizer.tokenize(res) | |
| # ================================================= | |
| # Set up scorers | |
| # ================================================= | |
| # ================================================= | |
| # Compute scores | |
| # ================================================= | |
| print('computing %s score...'%(self.spice.method())) | |
| score, scores = self.spice.compute_score(gts, res) | |
| print("%s: %0.3f"%("spice", score)) | |
| self.eval['spice'] = score | |
| print(scores) | |
| for imgId, score in zip(sorted(imgIds), scores): | |
| if not imgId in self.imgToEval: | |
| self.imgToEval[imgId] = {} | |
| self.imgToEval[imgId]["image_id"] = imgId | |
| self.imgToEval[imgId]["spice"] = score | |
| return self.eval['spice'], self.imgToEval | |
| # self.evalImgs = [self.imgToEval[imgId] for imgId in sorted(self.imgToEval.keys())] | |
| class COCOEvalCapSpice: | |
| def __init__(self, coco, cocoRes): | |
| self.evalImgs = [] | |
| self.eval = {} | |
| self.imgToEval = {} | |
| self.coco = coco | |
| self.cocoRes = cocoRes | |
| self.params = {'image_id': coco.getImgIds()} | |
| self.Spice = Spice() | |
| def evaluate(self): | |
| imgIds = self.params['image_id'] | |
| # imgIds = self.coco.getImgIds() | |
| gts = {} | |
| res = {} | |
| for imgId in imgIds: | |
| gts[imgId] = self.coco.imgToAnns[imgId] | |
| res[imgId] = self.cocoRes.imgToAnns[imgId] | |
| # ================================================= | |
| # Set up scorers | |
| # ================================================= | |
| print('tokenization...') | |
| tokenizer = PTBTokenizer() | |
| gts = tokenizer.tokenize(gts) | |
| res = tokenizer.tokenize(res) | |
| # ================================================= | |
| # Set up scorers | |
| # ================================================= | |
| print('setting up scorers...') | |
| scorers = [ | |
| (self.Spice, "SPICE") | |
| ] | |
| # ================================================= | |
| # Compute scores | |
| # ================================================= | |
| for scorer, method in scorers: | |
| print('computing %s score...'%(scorer.method())) | |
| score, scores = scorer.compute_score(gts, res) | |
| if type(method) == list: | |
| for sc, scs, m in zip(score, scores, method): | |
| self.setEval(sc, m) | |
| self.setImgToEvalImgs(scs, list(gts.keys()), m) | |
| print("%s: %0.3f"%(m, sc)) | |
| else: | |
| self.setEval(score, method) | |
| self.setImgToEvalImgs(scores, list(gts.keys()), method) | |
| print("%s: %0.3f"%(method, score)) | |
| self.setEvalImgs() | |
| def setEval(self, score, method): | |
| self.eval[method] = score | |
| def setImgToEvalImgs(self, scores, imgIds, method): | |
| for imgId, score in zip(sorted(imgIds), scores): | |
| if not imgId in self.imgToEval: | |
| self.imgToEval[imgId] = {} | |
| self.imgToEval[imgId]["image_id"] = imgId | |
| self.imgToEval[imgId][method] = score | |
| def setEvalImgs(self): | |
| self.evalImgs = [self.imgToEval[imgId] for imgId in sorted(self.imgToEval.keys())] | |