Dense Captioning Events in Video - Evaluation Code

This is a forked repo from the official densevid_eval. It further supports language evaluation on coco-caption SPICE.

Usage

First, clone this repository and make sure that all the submodules are also cloned properly.

git clone --recursive https://github.com/LuoweiZhou/densevid_eval_spice.git

Next, download the dataset using

./download.sh

Finally, test that the evaluator runs by testing it on our sample_submission.json file by calling:

python evaluate.py

You are now all set to produce your own dense captioning results for videos and use this code to evaluate your mode:

python evaluate.py -s YOUR_SUBMISSION_FILE.JSON

Paper

Visit here for details.

Citation

@inproceedings{krishna2017dense,
    title={Dense-Captioning Events in Videos},
    author={Krishna, Ranjay and Hata, Kenji and Ren, Frederic and Fei-Fei, Li and Niebles, Juan Carlos},
    booktitle={ArXiv},
    year={2017}
}

License

MIT License copyright Ranjay Krishna