Is your feature request related to a problem? Please describe.
Some images are too large to fit at native resolution, other images are large and the object is also large meaning that fitting at native resolution is wasteful. In these cases it would be nice to be able to downsample the image and perform fitting within AutoProf
Describe the solution you'd like
Possibilities:
downsampling in the target object, this doesnt work for mixed sampling fits
downsampling in the fitter, this could work but is brittle for switching fitters
downsampling in the model, this may add processing time if downsampling has to happen at each iteration
It would also be nice to be able to change the sampling with time to have the optimization start at low resolution and finish at high resolution.
Describe alternatives you've considered
windows already cut subsections of large images, but this doesnt work for large objects.
This seems like more of a hack to speed up convergence. Something that would be relevant along these lines would be the ability to break up an image into sub-windows if it is too large.
Is your feature request related to a problem? Please describe. Some images are too large to fit at native resolution, other images are large and the object is also large meaning that fitting at native resolution is wasteful. In these cases it would be nice to be able to downsample the image and perform fitting within AutoProf
Describe the solution you'd like Possibilities:
It would also be nice to be able to change the sampling with time to have the optimization start at low resolution and finish at high resolution.
Describe alternatives you've considered windows already cut subsections of large images, but this doesnt work for large objects.
Additional context Could be a massive speedup