Awesome
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