github yeatmanlab/pyAFQ 0.7
Version 0.7

latest releases: 1.3.2, 1.3.1, 1.3...
3 years ago

This version includes upgrades and updates to a variety of methods.
A major new feature in this release is automated builds of docker images for
both pyAFQ by itself, as well as in tandem with qsiprep.

  • [FIX] Minor BF for nightly tests (#665)
    • [ENH] A variety of registration improvements, primarily for babyAFQ (#661)
    • [Doc] try new docs layout (#664)
    • [FIX] Build and push pyAFQ docker image only after merge (#663)
    • [ENH] docker workflow for pyafq and afqsi (#659)
    • only run roi dilation if necessary (#662)
    • BF: Set up bundle dict in cases where a dict is provided, but algo is "reco" (#658)
    • [FIX] try to make pyafq play nice with pybids 0.9.3 (#660)
    • BF: _gen_sl_counts function was failing with more than one subject (#656)
    • [FIX] remove invalid sls from tractography, which could be custom (#654)
    • [FIX] Propogate flip axial to export_all (#651)
    • [ENH] make cvxpy optional (#653)
    • Allow ItkMap in pyAFQ (#650)
    • Dipy should be at least 1.4.0 (#643)
    • Median tract profile (#649)
    • Some minor bug fixes/improvements from the optic bids PR (#647)
    • Major changes for processing optic radiations with CLI (#625)
    • [ENH] Input ylim for CI plots (#642)
    • [FIX] Plotly Bundle Visualization fixes (#641)
    • DOC: This page has since moved. (#640)
    • DOC: When releasing, we need to push the tag upstream. (#639)
    • Add API method to export masked b0 (#638)
    • [FIX] opacity argument to make fury API like plotly API (#637)
    • Add conflict checker; loosen up dependencies (#636)
    • Allow more flexibility in dask version (#634)
    • More plotting tweaks, gridspec compat (#627)
    • Added an ROI pre segmentation as an option for recobundles (#573)
    • Relax versions to avoid cvxpy/numpy incompatibility (#632)
    • export endpoint ROI when saving intermediates (#628)
    • FIX: combine AFQ profiles (#585)
    • Fixes DCP Error (#630)
    • Update numpy version (#629)
    • Allow user to only use prealign in registration (#626)

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