Chaitanya

Hi, thanks for your work. Is there a way to get a rigid transformation result without any scaling? There is no scaling effect between the two point clouds in my...

I think this works. Just one more question - with scaling disabled, is it reasonable to expect that the diagonal elements in the final transformation be very close to 1?...

Submitted a PR, please take a look when you can and let me know if I can do anything else.

@lfdeep Change padding in lines 174-183 in utils.py, unetConv2 function ``` if is_batchnorm: self.conv1 = nn.Sequential( nn.Conv2d(in_size, out_size, 3, 1, 1), nn.BatchNorm2d(out_size), nn.ReLU() ) self.conv2 = nn.Sequential( nn.Conv2d(out_size, out_size, 3,...

Why are the metrics multiplied by the batch size, added cumulatively and then divided by the total number of samples during printing? It seems like this will print a scaled...

I'm having a similar issue sometimes, when I run either window.record() or window.show(). I'm debugging in Visual Studio Code. The functions work well for a while, but they suddenly result...

I've been able to compile the model with tensorflow v1.11.0 and keras v2.2.4 Using tensorflow v1.14.0 failed, creating the model resulted in a TypeError. Maybe try keras v2.3.1 when using...

In terms of parallelizing the registration process, has anyone attempted to do this with dask? I have a large 3D stack and need to register the slices to each other....

Running into the same issue here. obj[-1] is increasing as the number of clusters increase. What am I getting wrong? Is there a way to get inertia from the kmeans...

This solved my issue. It was related to min and max points per centroid. https://github.com/facebookresearch/faiss/issues/1887#issue-892534946