model-zoo

demo: https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/mri_reconstruction_demo

example: openvinotoolkit/open_model_zoo#2178

• AsyncPipeline
• Add description for inputs and outputs in the README openvinotoolkit/open_model_zoo#2770

Hi,

In kaolin/kaolin/metrics/pointcloud.py it says that the sided_distance() method computes

For every point in p1 find the indices and euclidean distances of the closest point in p2.

However, it seems like the underlying _C.metrics.sided_distance_forward_cuda returns the squared euclidean distance. Can you please clarify this?

Thank you

In the 60 minute blitz tutorial, we use a sequence of stacked Dense layers, each with no activation function. This doesn't make much sense, as multiple linear operators can always be combined down into a single linear operator:

julia> using Flux