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https://github.com/wangleihitcs/captionmetrics

Image Caption metrics: Bleu、Cider、Meteor、Rouge、Spice
https://github.com/wangleihitcs/captionmetrics

bleu cider image-caption-metrics meteor rouge spice

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Image Caption metrics: Bleu、Cider、Meteor、Rouge、Spice

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README

        

## introduce
Image Caption Metrics: Bleu、Cider、Meteor、Rouge、Spice

## library
* python3.5 or python2.7
* jdk-1.8
* Stanford CoreNLP 3.6.0[(download)](http://nlp.stanford.edu/software/stanford-corenlp-full-2015-12-09.zip)
* add stanford-corenlp-3.6.0.jar to pycocoevalcap/spice/lib/
* add stanford-corenlp-3.6.0-models.jar to pycocoevalcap/spice/lib/

## examples
- $ python main.py
![class-activation-mapping](https://github.com/wangleihitcs/CaptionMetrics/blob/master/examples/example.png)

## reference
* [https://github.com/tylin/coco-caption](https://github.com/tylin/coco-caption)

## e.g
There is some thing wrong in python3, but python2 is right.
Fix the problem 'cider = 0 when only one image caption'.