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Multiprocessing for dcm2mha and mha2nnunet #3

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merged 2 commits into from
May 25, 2022
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@joeranbosma joeranbosma requested a review from snorthman May 25, 2022 08:21
@@ -109,6 +111,7 @@ def __init__(
scan_postprocess_func: Optional[Callable[[sitk.Image], sitk.Image]] = None,
out_dir_scans: PathLike = "imagesTr",
out_dir_annot: PathLike = "labelsTr",
num_threads: int = 4,
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This is based on experience. A high number of threads can cause memory issues, as images can be big (and this number of threads is applied throughout). Four threads typically fill up the IO bandwidth (which is the goal of multiprocessing here, which is likely the bottleneck).

@joeranbosma joeranbosma merged commit 8fb3384 into main May 25, 2022
@joeranbosma joeranbosma deleted the multiprocessing branch May 25, 2022 08:30
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2 participants