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The current iteration of the pipeline runs to completion without any apparent problems though the gradients outputted don't appear to correspond to previously described hippocampal gradients.
First…
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I am training VGNET on GRID dataset using the code in vgnet.py. The input to the network are the dlib landmarks after procrustes alignment, and the ground-truth image labels are the cropped face imag…
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Many thanks for this repo. I am trying to reimplement your training process but I am stucked in data preprocessing.
Actually, I am confused about "normLmarks" function.
1) I wonder that when th…
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Ich dachte mir, es wäre ganz nett auch das Centering auf original curve level über die smoothen Kurven zu berechnen. Dann sollte das beim plotten auch besser zum Mean passen. Da es hier aber nur um's …
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I'd like to know whether the trimesh.registration.icp includes scale transformation? Thank you!
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Currently, when saving an image + labels, only the color menu is saved but it will be great to save all options/menus that were changed in the plot; for example, shape.
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Hi,
I ran BLISS your experiment with the pretrained embedding download from ttps://dl.fbaipublicfiles.com/fasttext/vectors-wiki/wiki.en.vec (English and Tamil) for two languages. It is working great.…
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Actually, why make a permutation matrix (mostly zeros and ones) and multiply by A (cost of O(n^3)). You can directly compute A with permuted rows/columns, then compute the error in (permuted) A. This …
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from brainspace.gradient import GradientMaps
from brainspace.plotting import plot_hemispheres
from brainspace.mesh import mesh_io as mio
# Create a GradientMaps object for the template
Gt = Gradie…
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Hi,
I´m using vegan::metaMDS() to perform NMDS analysis. My data consist of presence/absence records of 568 species in 10 000 sites. Sites with no species present are excluded. I have tried using s…