def transform_from_FlyEM_to_FCWB(points):
try:
new_points = navis.xform_brain(points, source=source, target=target)
except:
new_points = []
print("ERROR")
pass
return new_points
def test_volume_transforms():
vol = navis.example_volume('LH')
# Convert example neurons from voxels (raw hemibrain space) to microns
tr = navis.xform_brain(vol, source='JRCFIB2018Fraw', target='JRCFIB2018Fum')
assert isinstance(vol, navis.Volume)
assert vol.vertices.shape[0] == tr.vertices.shape[0]
def test_skeleton_transforms():
nl = navis.example_neurons(kind='skeleton')
# Convert example neurons from voxels (raw hemibrain space) to microns
tr = navis.xform_brain(nl, source='JRCFIB2018Fraw', target='JRCFIB2018Fum')
assert isinstance(tr, navis.NeuronList)
assert len(tr) == len(nl)
assert all(nl.n_nodes == tr.n_nodes)
def transform_from_source_to_target(points, source, target):
print("PPP",source,target)
print(points)
points = np.array(points,dtype=float)
# new_points = navis.xform_brain(points, source=source, target=target)
try:
new_points = navis.xform_brain(points, source=source, target=target)
except:
new_points = []
print("ERROR")
pass
# print("NPP")
print(new_points)
return new_points