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3D plots using neurone.plot.flow not properly visualised #34

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@Kanyq

Hello,

I'm trying to plot the flow field vectors for my 3D warping but the "flow" plot of neurite asks me to convert the 3D array into 2D+2 to plot it. So the actual array (1, 160, 160, 48, 3) has to be compressed to (54, 54, 16, 2) and I end up plotting (1, 54, 16, 2) for each flow plot, which does not give proper visualisation.
I'm squeezing the image in the following way:
flow = pred_warp.squeeze()[::3,::3,::3,::2]

pred_warp.shape = (1, 160, 160, 48, 3)
flow.shape = (54, 54, 16, 2)

Is there a way for me to plot the 3D flow plot or is there a better way to represent this flow vector? Thank you

flow

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  1. adalca commented on Apr 4, 2021

    @adalca
    Owner

    @Kanyq thanks for the question -- can you check if the dev branch is better for you? @halleewong pushed a modification to the visualization tool that I think might be adressing your problem: 34ae090

  2. hy-23 commented on Jul 29, 2022

    @hy-23

    May I ask what the blue and green colors mean? Initially I thought they were supposed to correspond to magnitude, but there seem to be vectors of approximately the same length in both blue and green.

  3. adalca commented on Jul 29, 2022

    @adalca
    Owner

    I would guess there's a directionality component, but I honestly forget -- we use plt.quiver under the hood for this one, so take a look at https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.quiver.html

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