How to detect certain actions in my own video data

[west-i]

How to detect certain actions in my own video data

[wei-tim]

@west-i
Hi, thanks for your interest.
First you have to check whether the action that you are going to detect is in the datasets (JHMDB-21 or UCF101-24).
If so, you can directly use our pretrained model to detect this specific action.
Otherwise you can use our method to train your own model on your specific dataset.

[west-i]

@wei-tim
Thanks you for your answer.

The action that i want to detect is not in the datasets(JHMDB-21 or UCF101-24).
I have the following questions：

1.How should I annotate the new action in the video to train my detection model.
2.What needs to be modified next to match my data?

Beginners in this area, hope to get your answers, thank you very much!

[abhigoku10]

@okankop @west-i if the actiion is present in datasets(JHMDB-21 or UCF101-24). which set of file / the process should be follow to run on the video data

[okankop]

@west-i

1. you should annotate your data similar to UCF101-24 annotations.
2. You just need to change the number of classes in the network architecture and you are ready to train.

[okankop]

@abhigoku10 you can simply follow the test procedure applied in the training. Please investigate the "def test(epoch)" function in file https://github.com/wei-tim/YOWO/blob/master/train.py

[west-i]

@okankop
Thanks you for your answer.

Is there a labeling tool I can use to label my videos?

[okankop]

@west-i
Labelme (https://github.com/wkentaro/labelme) is a very nice labelling tool. You can use that.

[okankop]

I believe issue is resolved!