could i ask the question on 2d conv?

hassony2 / kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow

MIT License

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could i ask the question on 2d conv? #29

Closed Zhang-O closed 5 years ago

Zhang-O commented 5 years ago

i have searched a lot of info in google about 3d conv. it is easy to understand the 3d conv in vedio segments of single channel. but i do not know 3d conv in vedio segments of rgb channel. what about 3d conv kernel shape ? 333 or input channels 33*3.

could you explain it ? thank you very. !

Zhang-O commented 5 years ago

it seems that you have no time.