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When calculating mean and variance, factor layer['weights'][2] should be considered. Line 199: mean = layer['weights'][0] / layer['weights'][2]
mean = layer['weights'][0] / layer['weights'][2]
The text was updated successfully, but these errors were encountered:
But the value in Resenet-50 is always 1 for layer['weights'][2] from the extracted caffe model and result is not matching. Something is still missing
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When calculating mean and variance, factor layer['weights'][2] should be considered.
Line 199:
mean = layer['weights'][0] / layer['weights'][2]
The text was updated successfully, but these errors were encountered: