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ds format in GREIT algorithm #6
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Also, please let me know if this is your preferred mode of communication, or whether there is a forum or other for comments like this. |
For # suppose xg, yg are the grids along x- and y- axis, eit_im is the greit image
xv = xg[0]
yv = yg[:, 0]
eit_im = eit_im.reshape(xg.shape)
ax.pcolorfast(xv, yv, eit_im, cmap=your_cmap) Sure, it's ok to communicate via the issues, currently, we do not have a forum yet. |
yes. In our group, GREIT has been used for pixel-based image analysis of EIT applications. |
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I've noticed that running JAC and Back Projection algorithm result in ds format which can be overlayed on the mesh as shown below:
![desired_figure](https://user-images.githubusercontent.com/315476/38650466-d8d5716c-3db0-11e8-8ad0-997ec9510955.png)
Is there anyway to obtain ds in GREIT algorithm in the same format to make plotting it consistent across algorithms? Currently it outputs an n by n array.
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