def demthread(datasource, commonseed, dumpfolder, dpars):
print(f'{datasource}')
t0 = time.time()
video_real = np.swapaxes(scipy.io.loadmat(datasource)['video_data'], 0, 2)
dpars['dataset'] = datasource
starttime = int(time.time()*10E5*np.random.rand())
print(starttime)
video_real = video_real[-500:]
[traces, spatial, err_progress] = sdmx.demix_speckles_video(video_real, dpars)
picklename = datasource.split('.')[0]+'_%d_%d.pickle'%(commonseed, starttime)
picklename = dumpfolder+picklename.split('/')[-1]
filehandler = open(picklename, 'wb')
dpars['computing time'] = time.time()-t0
dpars['error_progression'] = err_progress
pickle.dump([traces, spatial, dpars], filehandler, pickle.HIGHEST_PROTOCOL)
filehandler.close()
print(f'Written to {picklename}')
def demthread(datasource, commonseed, dumpfolder, dpars):
print(f'{datasource}')
t0 = time.time()
video_real = spkstf.extract_from_mat(datasource, 'video_data')
dpars['dataset'] = datasource
starttime = int(time.time() * 10E5 * np.random.rand())
print(starttime)
# remove the ground truths before demixing
video_real = video_real[-500:]
[traces, spatial,
err_progress] = sdmx.demix_speckles_video(video_real, dpars)
picklename = datasource.split('.')[0] + '_%d_%d.pickle' % (commonseed,
starttime)
picklename = dumpfolder + picklename.split('/')[-1]
filehandler = open(picklename, 'wb')
dpars['computing time'] = time.time() - t0
dpars['error_progression'] = err_progress
pickle.dump([traces, spatial, dpars], filehandler, pickle.HIGHEST_PROTOCOL)
filehandler.close()
print(f'Written to {picklename}')