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When computing metrics using ANIMA and MetricsReloaded one can quickly notice that ANIMA is much faster probably because it is written in C++ whereas MetricsReloaded is pure Python. we gain better readability (python vs c++ code) at the cost of speed.
discussing with @valosekj, our wrapper script could be made faster by computing the metrics in parallel instead of a simple for
as it is done now.
one idea: use multiprocessing ie spawn multiple workers on multiple subjects (just like the -jobs
arg in sct_run_batch
?
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