Skip to content

Instantly share code, notes, and snippets.

@drammock
Created December 9, 2019 23:43
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save drammock/434c09cbd44e1a9826d4402d522bcd08 to your computer and use it in GitHub Desktop.
Save drammock/434c09cbd44e1a9826d4402d522bcd08 to your computer and use it in GitHub Desktop.
#!/usr/bin/env python
import tracemalloc
tracemalloc.start()
import os
from mayavi import mlab
import mne
mlab.options.offscreen = True
mne.cuda.init_cuda()
mne.set_log_level('ERROR')
fname = 'GrandAvgN48FSAverage_postCamp_dSPM_faces'
fpath = os.path.join('/mnt/scratch/prek/results/group_averages', fname)
stc = mne.read_source_estimate(fpath)
stc.crop(tmin=0, tmax=0.1)
for n in range(100):
print(f'iteration {n}')
brain = stc.plot(subject='fsaverage',
subjects_dir='/mnt/scratch/prek/anat',
views=['lat', 'med', 'ven'],
hemi='split',
size=[1200, 1200])
brain.save_movie('/mnt/scratch/prek/cache/temp.mov',
framerate=30,
time_dilation=25,
interpolation='linear')
# print the memory hogs
snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics('lineno')
print('[ Top 5 ]')
for stat in top_stats[:5]:
print(stat)
del snapshot, top_stats
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment