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DavideA avatar DavideA commented on July 21, 2024 6

Hi and thanks for interest. In the trained version I provide, input shape is (3,16,112,112).

That seems indeed an issue related to input dimensions. I think 3d pooling layers are squeezing out the temporal dimension entirely, since you use less frames for each clip (the architecture is tailored for 16 frames).

Please also note that if you change each frame resolution you will need to set the number of input features of the first fully connected layer accordingly.

Hope this helps,
D

from c3d-pytorch.

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