Ben Murray
Ben Murray
NiftyNet could benefit from more flexible input management. At the moment, the config file allows a user to associate a set of inputs into a named input tuple as follows:...
At present [NETWORK] contains a number of fields related to pre-processing that could potentially vary by input. These should be moved to the inputs that they relate to so that...
Current behaviour: Given a set of inputs, NiftyNet will match them by name to each other and then reject inputs for which some set of the related inputs are not...
We should move to a better resampler, such as skimage.resize, that samples from / at pixel / voxel centres. Details to follow, but this issue affects downsampling.
# Lazy Resampling - deep refactor (see #4855) The goal is to provide less memory-intensive, faster and higher quality spatial resampling by adopting the best practice of traditional graphics pipelines....
# Introduction Before we hit 1.0, it may be worth looking across the set of transforms that we have and making parameters consistent where we can do so. Below is...
# Introduction Different types of spatial transform carry out different types of resampling on the dataset. A given transform can have any or all of the following modifications: - In...
This is proposed as a simple fix for #6595. It follows the torch-like practice of wrapping functions for pre and post hooks (as also followed by many other repos) with...
# Lazy evaluation refactor This PR contains a reworking of the lazy evaluation mechanism on dev to provide the following: 1. There are now three lazy execution options: 1. the...
This issue is tracking the remaining concerns for #6257 so that they can be resolved and the PR merged. ## How to work with this Issue Please add points of...