def filter_func(images: Images, cores=None, chunksize=None, progress=None) -> Images: counts = images.counts() if counts is None: raise RuntimeError("No loaded log values for this stack.") counts_val = counts.value / counts.value[0] div_partial = ptsm.create_partial(_divide_by_counts, fwd_function=ptsm.inplace) images, _ = ptsm.execute(images.data, counts_val, div_partial, cores, chunksize, progress=progress) return images
def filter_func(images: Images, cores=None, chunksize=None, progress=None) -> Images: if images.num_projections == 1: # we can't really compute the preview as the image stack copy # passed in doesn't have the logfile in it raise RuntimeError("No logfile available for this stack.") counts = images.counts() if counts is None: raise RuntimeError("No loaded log values for this stack.") counts_val = counts.value / counts.value[0] do_division = ps.create_partial(_divide_by_counts, fwd_function=ps.inplace2) ps.shared_list = [images.data, counts_val] ps.execute(do_division, images.num_projections, progress, cores=cores) return images