Michael Hanke
Michael Hanke
For the record: The conversion has now finished after about an hour, with a peak memory demand of ~24 GB.
Thanks for your response! Yes, this was using the current master at that time. By --extract do you mean --extract-private?
Thanks! I started running the code. I only had to adjust the glob, as Philips DICOM filenames do not come with '.dcm' by default. While running I see: ``` gist/faststack.py:8:...
This is again inactive for more than a month. Let's close inactive drafts, ok?
I am closing this old issue of mine. There is clearly no interest in this.
I am closing this issue of mine, because I have stopped maintaining it. A good way to check whether a piece of datalad is being patched by `datalad-next` is to...
The original #2369 has now been addressed via `ssh://` URL support via https://github.com/datalad/datalad-next/pull/124.
From my POV we can close this.
Sorry for having been vague. The corresponding command would be `datalad download ssh://hpc.institution.edu/path/to/testfile.txt` Please note `ssh://` not `sftp://`. Direct `sftp` support might come later. The equivalent of `-O` would be...
Just for the record, if you want to have a structured report, run `datalad wtf -S extensions`