How to Prepare data which likes ava dataset to train Spatial Temporal Action Detection SlowFast model ? #698
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I think the best way is to get annotation format familiar with the ava . center_index = fps * (timestamp - timestamp_start) + 1 And we can not guarantee that every video is the same. Maybe we can set timestamp_start=0,how about timestamp_end? shot_info = (0, (self.timestamp_end - self.timestamp_start) * self._FPS) |
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Replies: 6 comments 10 replies
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cc. @kennymckormick |
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Now I try to convert custom dataset to ava format.I got a csv like ava. |
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related issue #652 |
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@innerlee ava dataset rawframes is begin from img_00001.jpg. shot_info = (0, (self.timestamp_end - self.timestamp_start) *
self._FPS) When I use my dataset.There is a error in "don't find img_0000.jpg". shot_info = (1, (self.timestamp_end - self.timestamp_start) *
self._FPS) |
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Right now I have trained slowfast model in custom dataset for spatical teporal action. I think mmaction2 is a great project in the world. |
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@ZJU-lishuang @innerlee @kennymckormick Hi, I need some inputs from you related to Spatial Temporal Action Detection Slow Fast on custom data. details are below:
Now i want your inputs on below points:
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Right now I have trained slowfast model in custom dataset for spatical teporal action.
So I meet a lot of problems during training own dataset.
I'm interested in the tutorial,but I'm poor in writing skill and I'm busy in a actual project.
Here is my script tools for convert custom dataset to ava format.
Hope it helps.
The custom dataset annotation format comes from cvat.
I think mmaction2 is a great project in the world.
Yes.
Answer myself.