Comments (4)
Sounds good! I was actually able to get it to run successfully on the Mac by installing scikit-image==0.14.0 per the requirements textfile. Thanks for pointing me in the right direction!
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Thanks for reporting this! We are not quite ready to release this software quite yet... But installing from source as you have should still work.
Regarding your specific error. What versions of scikit image do you have installed on these two machines? For example, what happens when you execute the following on both of these machines?
python -c"import skimage; print(skimage.__version__)"
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Thanks so much for your response! I have scikit 0.13.1 installed in both locations. Just to clarify, do you mean installing via github or using a python package manager should still work? Thank you again!
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I have scikit 0.13.1 installed in both locations.
Hmm. I still suspect that there is a version of something that is different (the data is identical, right?). Could you run a pip freeze
on both machines and send that over?
Just to clarify, do you mean installing via github or using a python package manager should still work?
Sorry. Install from GitHub for now!
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Related Issues (20)
- Document integration with qsiprep
- Test datasets are not valid BIDS datasets HOT 1
- fiber tracts clustered around midbrain
- using fsl data
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- Raise more informative error for inconsistent inputs to AFQ.tractography.track ACT
- Setting stop_mask to "ACT" raises an error at wrapper_as_img() in decorator.py
- Seed and Stop masked are saved before thresholding.
- [BUG] Should this have a tilde? HOT 1
- Corpus Callosum is assumed to be in the center of the image in CSD modeling HOT 1
- Understanding preprocessing steps needed for raw DTI data to be run through pyAFQ HOT 2
- BundleDict assignment doesn't work? HOT 5
- Export just the maps HOT 1
- HTTP Error 403: Forbidden HOT 3
- Using preexisting ITK maps HOT 4
- no bundles? HOT 4
- DOC: How to run pyAFQ through qsiprep HOT 1
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