Python bleu.Bleu方法代碼示例

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def score(ref, hypo):
    """
    ref, dictionary of reference sentences (id, sentence)
    hypo, dictionary of hypothesis sentences (id, sentence)
    score, dictionary of scores
    """
    scorers = [
        (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
        (Rouge(), "ROUGE_L"),
    ]
    final_scores = {}
    for scorer, method in scorers:
        score, scores = scorer.compute_score(ref, hypo)
        if type(score) == list:
            for m, s in zip(method, score):
                final_scores[m] = s
        else:
            final_scores[method] = score
    return final_scores 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self):
        output = []
        scorers = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(), "METEOR"),
            (Rouge(), "ROUGE_L"),
            # (Cider(), "CIDEr")
        ]

        # =================================================
        # Compute scores
        # =================================================
        for scorer, method in scorers:
            # print 'computing %s score...'%(scorer.method())
            score, scores = scorer.compute_score(self.gts, self.res)
            if type(method) == list:
                for sc, scs, m in zip(score, scores, method):
                    print("%s: %0.5f" % (m, sc))
                    output.append(sc)
            else:
                print("%s: %0.5f" % (method, score))
                output.append(score)
        return output 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self):
        output = []
        scorers = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            # (Cider(), "CIDEr")
        ]

        # =================================================
        # Compute scores
        # =================================================
        for scorer, method in scorers:
            # print 'computing %s score...'%(scorer.method())
            score, scores = scorer.compute_score(self.gts, self.res)
            if type(method) == list:
                for sc, scs, m in zip(score, scores, method):
                    print "%s: %0.5f"%(m, sc)
                    output.append(sc)
            else:
                print "%s: %0.5f"%(method, score)
                output.append(score)
        return output 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self):
        output = []
        scorers = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            # (Meteor(),"METEOR"),
            # (Rouge(), "ROUGE_L"),
            # (Cider(), "CIDEr")
        ]

        # =================================================
        # Compute scores
        # =================================================
        for scorer, method in scorers:
            # print 'computing %s score...'%(scorer.method())
            score, scores = scorer.compute_score(self.gts, self.res)
            if type(method) == list:
                for sc, scs, m in zip(score, scores, method):
                    print "%s: %0.5f"%(m, sc)
                    output.append(sc)
            else:
                print "%s: %0.5f"%(method, score)
                output.append(score)
        return output 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self):

        # imgIds = self.coco.getImgIds()
        gts = dict(zip(range(0, len(self.predicted_list)), self.predicted_list))
        res = dict(zip(range(0, len(self.label_list)), self.label_list))

        # =================================================
        # Set up scorers
        # =================================================
        print 'tokenization...'
        tokenizer = PTBTokenizer()
        gts = tokenizer.tokenize(gts)
        res = tokenizer.tokenize(res)

        # =================================================
        # Set up scorers
        # =================================================
        print 'setting up scorers...'
        scorers = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr")
        ]

        # =================================================
        # 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.set_textid_to_eval(scs, gts.keys(), m)
                    print "%s: %0.3f"%(m, sc)
            else:
                self.setEval(score, method)
                self.set_textid_to_eval(scores, gts.keys(), method)
                print "%s: %0.3f"%(method, score)
        self.set_eval() 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self, album_to_Gts, album_to_Res):
        self.album_to_Res = album_to_Res
        self.album_to_Gts = album_to_Gts

        # =================================================
        # Set up scorers
        # =================================================
        print 'setting up scorers...'
        scorers = []
        scorers = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(), "METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr")  # df='VIST/VIST-train-words'
        ]

        # =================================================
        # Compute scores
        # =================================================
        for scorer, method in scorers:
            print 'computing %s score ...' % (scorer.method())
            score, scores = scorer.compute_score(self.album_to_Gts, self.album_to_Res)
            if type(method) == list:
                for sc, scs, m in zip(score, scores, method):
                    self.setEval(sc, m)
                    self.setAlbumToEval(scs, self.album_to_Gts.keys(), m)
                    print '%s: %.3f' % (m, sc)
            else:
                self.setEval(score, method)
                self.setAlbumToEval(scores, self.album_to_Gts.keys(), method)
                print '%s: %.3f' % (method, score)

        self.setEvalAlbums() 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self):
        output = []
        scorers = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            # (Cider(), "CIDEr")
        ]

        # =================================================
        # Compute scores
        # =================================================
        for scorer, method in scorers:
            # print 'computing %s score...'%(scorer.method())
            score, scores = scorer.compute_score(self.gts, self.res)

            # set_trace()

            if type(method) == list:
                for sc, scs, m in zip(score, scores, method):
                    print "%s: %0.5f"%(m, sc)
                    output.append(sc)
            else:
                print "%s: %0.5f"%(method, score)
                output.append(score)
        return output 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def main():
    # Feed in the directory where the hypothesis summary and true summary is stored
    hyp_file = glob.glob('metrics/hypothesis/*')
    ref_file = glob.glob('metrics/reference/*')

    BLEU_1 = 0.
    BLEU_2 = 0.
    BLEU_3 = 0.
    BLEU_4 = 0.
    ROUGE_L = 0.
    num_files = 0
    for reference_file, hypothesis_file in zip(ref_file, hyp_file):
        num_files += 1
        with open(reference_file) as rf:
            reference = rf.readlines()

        with open(hypothesis_file) as hf:
            hypothesis = hf.readlines()

        ref, hypo = load_textfiles(reference, hypothesis)
        score_map = score(ref, hypo)
        BLEU_1 += score_map['Bleu_1']
        BLEU_2 += score_map['Bleu_2']
        BLEU_3 += score_map['Bleu_3']
        BLEU_4 += score_map['Bleu_4']
        ROUGE_L += score_map['ROUGE_L']


    BLEU_1 = BLEU_1/num_files
    BLEU_2 = BLEU_2/num_files
    BLEU_3 = BLEU_3/num_files
    BLEU_4 = BLEU_4/num_files
    ROUGE_L = ROUGE_L/num_files

    print 'Average Metric Score for All Review Summary Pairs:'
    print 'Bleu - 1gram:', BLEU_1
    print 'Bleu - 2gram:', BLEU_2
    print 'Bleu - 3gram:', BLEU_3
    print 'Bleu - 4gram:', BLEU_4
    print 'Rouge:', ROUGE_L

    return BLEU_1,BLEU_2,BLEU_3, BLEU_4, ROUGE_L 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
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 = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr")
        ]

        # =================================================
        # Compute scores
        # =================================================
        eval = {}
        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, imgIds, m)
                    print "%s: %0.3f"%(m, sc)
            else:
                self.setEval(score, method)
                self.setImgToEvalImgs(scores, imgIds, method)
                print "%s: %0.3f"%(method, score)
        self.setEvalImgs() 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def main():

    import sys
    res_path = sys.argv[1]

    gt_path = osp.join(this_dir, 'tgif-v1.0.tsv')
    test_list_path = osp.join(this_dir, 'splits', 'test.txt')

    test_keys = load_list(test_list_path)
    all_sents = load_sentences(gt_path)
    res = load_sentences(res_path)

    # make sure res has and only has single sentence
    # for all testing keys
    gts = {}
    for key in test_keys:
        gts[key] = all_sents[key]
        if key in res:
            res[key] = [res[key][0]]
        else:
            res[key] = [""]

    # =================================================
    # Convert to COCO format
    # =================================================
    gts = to_coco(gts, res.keys())
    res = to_coco(res, res.keys())

    # =================================================
    # Set up scorers
    # =================================================
    print 'tokenization...'
    tokenizer = PTBTokenizer()
    gts  = tokenizer.tokenize(gts)
    res = tokenizer.tokenize(res)

    # =================================================
    # Set up scorers
    # =================================================
    print 'setting up scorers...'
    scorers = [
        (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
        (Meteor(),"METEOR"),
        (Rouge(), "ROUGE_L"),
        (Cider(), "CIDEr")
    ]

    # =================================================
    # Compute scores
    # =================================================
    eval = {}
    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):
                print "%s: %0.3f"%(m, sc)
        else:
            print "%s: %0.3f"%(method, score) 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
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 = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr")
        ]

        # =================================================
        # 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, gts.keys(), m)
                    print("%s: %0.3f"%(m, sc))
            else:
                self.setEval(score, method)
                self.setImgToEvalImgs(scores, gts.keys(), method)
                print("%s: %0.3f"%(method, score))
        self.setEvalImgs() 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
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 = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(), "METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr")
        ]

        # =================================================
        # 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, gts.keys(), m)
                    print "%s: %0.3f" % (m, sc)
            else:
                self.setEval(score, method)
                self.setImgToEvalImgs(scores, gts.keys(), method)
                print "%s: %0.3f" % (method, score)
        self.setEvalImgs() 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
def evaluate(self):
        imgIds = self.params[self.imgidStr]
        # 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 = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr"),
            (Spice(), "SPICE")
        ]

        # =================================================
        # Compute scores
        # =================================================
        eval = {}
        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, gts.keys(), m)
                    print "%s: %0.3f"%(m, sc)
            else:
                self.setEval(score, method)
                self.setImgToEvalImgs(scores, gts.keys(), method)
                print "%s: %0.3f"%(method, score)
        self.setEvalImgs() 

# 需要導入模塊: from bleu import bleu [as 別名]
# 或者: from bleu.bleu import Bleu [as 別名]
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 = [
            (Bleu(4), ["Bleu_1", "Bleu_2", "Bleu_3", "Bleu_4"]),
            (Meteor(),"METEOR"),
            (Rouge(), "ROUGE_L"),
            (Cider(), "CIDEr")
        ]

        # =================================================
        # 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, gts.keys(), m)
                    print "%s: %0.3f"%(m, sc)
            else:
                self.setEval(score, method)
                self.setImgToEvalImgs(scores, gts.keys(), method)
                print "%s: %0.3f"%(method, score)
        self.setEvalImgs()