Dense Captioning Events in Video - Evaluation Code

This is a forked repo from the official 2017 densevid_eval. You can also find the latest official 2018 repo here and the one with SPICE support here.

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.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}
}

LuoweiZhou/densevid_eval

Dense Captioning Events in Video - Evaluation Code

Usage

Paper

Citation

License