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%matplotlib notebook
from nilearn.image import crop_img
import numpy as np
from ecoggui import ElectrodeGUI

fname = 'T1_post_deface.nii.gz'
niimg = crop_img(fname)  # to automatically zoom on useful voxels

# We know we have a 8x8 grid of ecog channels, separated by 10 mm.
xy = np.meshgrid(range(0, 80, 10), range(0, 80, 10))
xy = np.transpose([ii.ravel() for ii in xy])

# Click on the grid to select the electrode and press spacebar to add it.
gui = ElectrodeGUI(niimg=niimg, xy=xy)

# Show electrode manually identified positions
print(gui.ch_user)

# Show electrodes predictions
print(gui.ch_pred)


    

    















    












    




Empty DataFrame
Columns: [handle_0, handle_1, handle_2, x, y, z, x_idx, y_idx, z_idx]
Index: []
Empty DataFrame
Columns: [handle_0, handle_1, handle_2, x, y, z, x_idx, y_idx, z_idx]
Index: []






    




/home/jrking/anaconda/lib/python2.7/site-packages/matplotlib/axes/_base.py:1215: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal
  if aspect == 'normal':
/home/jrking/anaconda/lib/python2.7/site-packages/matplotlib/axes/_base.py:1220: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal
  elif aspect in ('equal', 'auto'):

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