# eval_cap

**Repository Path**: wu-zhiwei420/eval_cap

## Basic Information

- **Project Name**: eval_cap
- **Description**: Improved evaluation codes for common visual captioning metrics.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-22
- **Last Updated**: 2020-12-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Visual Caption Evaluation

Improved evaluation codes for common visual captioning metrics (base on [coco-caption](https://github.com/tylin/coco-caption)).

1. bleu, meteor, rouge, cider, spice
2. supporting python3 
3. faster cider with cache for reference captions

In order to use spice metric, you should download [stanford-corenlp-3.6.0-models.jar](http://stanfordnlp.github.io/CoreNLP/index.html) into the spice/lib directory.