def describe(kwik_path, clustering=None):
from phy.io.kwik import KwikModel
if not op.exists(kwik_path):
print("The file `{}` doesn't exist.".format(kwik_path))
return
model = KwikModel(kwik_path, clustering=clustering)
model.describe()
model.close()
def describe(args):
from phy.io.kwik import KwikModel
path = _get_kwik_path(args)
model = KwikModel(path, clustering=args.clustering)
return 'model.describe()', dict(model=model)
m = np.vstack((masks[self._n],
self.template_masks[cluster][None, ...]))
w.set_data(waveforms=wav,
masks=m,
spike_clusters=[0, 1],
)
run()
c = Converter(basename, filename, N_t,
n_channels=n_channels,
n_total_channels=n_total_channels,
offset=offset,
prb_file=prb_file,
sample_rate=sample_rate,
dtype=dtype,
gain=gain
)
# Uncomment to have a look at the templates or waveforms.
#c.template_explorer('waveforms') # 'waveforms' or 'templates'
#exit()
if not os.path.exists(basename + '.kwik'):
# Conversion.
c.create_kwik()
# Try to open the kwik file after the conversion.
model = KwikModel(c.kwik_path)
model.describe()