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If I take 64 x-channel and 64 y-channel optical flow images as input to motion cnn, should I make the out channel num of conv1_custom bigger? #66

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ljmiao opened this issue Sep 11, 2019 · 0 comments
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If I take 64 x-channel and 64 y-channel optical flow images as input to motion cnn, should I make the out channel num of conv1_custom bigger? #66

ljmiao opened this issue Sep 11, 2019 · 0 comments

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@ljmiao
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ljmiao commented Sep 11, 2019

self.conv1_custom = nn.Conv2d(channel, 64, kernel_size=7, stride=2, padding=3, bias=False)
here, input channel will be 128, Will 64 be too small?
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