ranjaykrishna / densevid_eval Goto Github PK
View Code? Open in Web Editor NEWEvaluation code for Dense-Captioning Events in Videos
License: MIT License
Evaluation code for Dense-Captioning Events in Videos
License: MIT License
Hi ranjay
I want to train a model and caption my own video,Do you have any plans to release the training model in the future?
Hi,
Thank you for sharing your code! I was trying to run 'python evaluate.py' to test whether the evaluator runs, but I got some KeyError shown as following. I am wondering did anyone ever encountered similar problems? And if so, how did you solve it?
I think this problem is somehow related to the .jar files in the COCO Evaluation because before the error, I also got something like this:
However, I just have no clue how to debug this. Really appreciated if anyone can help!
Hi ranjay,
I noticed a potential bug in your evaluation code as follows:
https://github.com/ranjaykrishna/densevid_eval/blob/master/evaluate.py#L196
It only utilizes the temporal proposals in the first groundtruth file to decide whether to add the garbage sentence rather than all groundtruth files.
So if the order of the groundtruth files changes, the evaluation results are different.
I think this part of code might be put outside of the for loop of groundtruth files.
Hello,
Is there a near-term plan to release the code to generate dense captions for videos?
Thanks,
how can i use the code process my video?
Hi Ranjay,
I found the function evaluate_detection() gives possibly wrong output order of precision and recall.
This means that precision and recall might be misused in other functions.
Should it be changed to " return sum(precision) / len(precision), sum(recall) / len(recall) " ?
Did your paper report the right result (recall instead of precision) ?
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