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> Try to use the `input_constructor` argument: > > ```python > class Siamese(nn.Module): > def __init__(self): > super(Siamese, self).__init__() > self.conv1 = nn.Conv2d(1, 10, 3, 1) > self.conv2 = nn.Conv2d(1,...

I have met the same problem. I found all rotated images has the same landmark. Is it normal?

> > I have met the same problem. I found all rotated images has the same landmark. Is it normal? > > I have solve the problem. Do not use...

I also met the same problem. After seeing the source code, I found It's no need to write anything after "pretrained_weights" in the configuration JSON File. These weights not reconstructed...

**Summary of my procedure** install this project, **run sh ./init.sh** install mxnet: 1. clone mxnet 1.2.0 **Don't use the branch in the README!!!** and Copy operators in $(DFF_ROOT)/dff_rfcn/operator_cxx or $(DFF_ROOT)/rfcn/operator_cxx...