Fix the identification of the number of cpus #386
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fix python-s in run_fastsurfer.sh (only use this if it is defined, else use python3.10 -- this is the default value and the in-docker fix to ignore user-space packages) fix bashrc definition in Docker/Dockerfile
rewrite/update N4_bias_correct.py - accept additional parameters (--aseg, --verbosity, --version) - port from optparse to argparse - change printing to logging facilities (instead of print), verbosity changes amount of prints. - rename functions and variables to follow PEP8 (lowercase, underscore to separate) - add function and integration to process the aseg and calculate wm intensity based on the wm segmentation from aseg - change normalization code to keep the zero-base (robust scaling should be done previously, e.g. typically in conforming) - rearrange code structure so functions are not as dependent on flags. Specifically, whether or not specific flags/files are present is moved to the main script. Consequently, functions are more predictable and not dependent on arguments.
fix doc string talairach origin
change the renormalization (--skipwm mode) to only consider the average intensity of the masked image. fix docstring in image_io.py
…taffinity()), which respects the softwarelevel assignment of cpus (cpuaffinity)
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Python uses os.cpu_count to find the total number of cpus, not the assigned/available number of cores.
For that, we are now using os.sched_getaffinity
(already based on talairach PR)