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VisionLearningGroup / R-C3D

code for R-C3D
MIT License
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Window size for generating roi #38

Closed ivyvideo closed 6 years ago

ivyvideo commented 6 years ago

Thanks for your great contribution! And I have one question about the window size for generating roi in generate_roidb_512.py image As shown above, you create a sliding window whose size is 512 to collect the data used for training, what confusing me is whether this parameter a empirical parameter? Or it is used after analysis on the thumos dataset?

huijuan88 commented 6 years ago

Usually, it should roughly cover the longest activity duration in that fps.

On Aug 27, 2018, at 03:26, ivyvideo notifications@github.com<mailto:notifications@github.com> wrote:

Thanks for your great contribution! And I have one question about the window size for generating roi in generate_roidb_512.py [image]https://user-images.githubusercontent.com/42105211/44646290-1ba69980-aa0d-11e8-9d6c-2a0d6047b974.png As shown above, you create a sliding window whose size is 512 to collect the data used for training, what confusing me is whether this parameter a empirical parameter? Or it is used after statistics?

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ivyvideo commented 6 years ago

@huijuan88 Thanks for reply! Got it. And it has nothing to do with the output of Conv5b which has 512 channels, right?

huijuan88 commented 6 years ago

No relationship with it.

On Aug 28, 2018, at 04:10, ivyvideo notifications@github.com<mailto:notifications@github.com> wrote:

@huijuan88https://github.com/huijuan88 Thanks for reply! Got it. And it has nothing to do with the output of Conv5b which has 512 channels, right?

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ivyvideo commented 6 years ago

ok, thank you so much!