I've come across a TypeError when using normals_directions_and_curvature_estimation. I've also reproduced this same error for different methods (VV, AVV, SSVV) and with one of the brain .vtk files from experimental_data_sets.
I'm not sure what's gone wrong, so I'd be grateful for any help. Please let me know if you need more information. Thank you!
TypeError Traceback (most recent call last)
[<ipython-input-4-d5cf739c16fd>](https://localhost:8080/#) in <module>
40
41 print("Estimating surface normals and principal directions and curvatures...")
---> 42 method_tg_surf_dict = normals_directions_and_curvature_estimation(
43 tg, radius_hit, methods=methods, page_curvature_formula=True, area2=area2, cores=cores)
44
3 frames
[/usr/local/lib/python3.9/dist-packages/pycurv/vector_voting.py](https://localhost:8080/#) in normals_directions_and_curvature_estimation(sg, radius_hit, epsilon, eta, methods, page_curvature_formula, full_dist_map, graph_file, area2, only_normals, poly_surf, cores, runtimes)
104 results = {}
105 for method in methods:
--> 106 sg_curv, surface_curv = curvature_estimation(
107 radius_hit, graph_file=graph_file, method=method,
108 page_curvature_formula=page_curvature_formula, area2=area2,
[/usr/local/lib/python3.9/dist-packages/pycurv/vector_voting.py](https://localhost:8080/#) in curvature_estimation(radius_hit, graph_file, method, page_curvature_formula, area2, poly_surf, full_dist_map, cores, runtimes, vertex_based, sg)
509
510 # Transforming the resulting graph to a surface with triangles:
--> 511 surface_curv = graph_to_triangle_poly(verbose=False)
512
513 t_end2 = time.time()
[/usr/local/lib/python3.9/dist-packages/pycurv/surface_graphs.py](https://localhost:8080/#) in graph_to_triangle_poly(self, verbose)
1480 data_type = self.graph.vp[prop_key].value_type()
1481 data_type = TypesConverter().gt_to_numpy(data_type)
-> 1482 array.InsertNextTuple(self.get_vertex_prop_entry(
1483 prop_key, vd, n_comp, data_type))
1484 if verbose:
[/usr/local/lib/python3.9/dist-packages/pycurv/graphs.py](https://localhost:8080/#) in get_vertex_prop_entry(self, prop_key, vertex_descriptor, n_comp, data_type)
432 prop = list()
433 if n_comp == 1:
--> 434 prop.append(data_type(self.graph.vp[prop_key][vertex_descriptor]))
435 else:
436 for i in range(n_comp):
TypeError: float() argument must be a string or a number, not 'Vector_double'
I've come across a TypeError when using normals_directions_and_curvature_estimation. I've also reproduced this same error for different methods (VV, AVV, SSVV) and with one of the brain .vtk files from experimental_data_sets.
I'm not sure what's gone wrong, so I'd be grateful for any help. Please let me know if you need more information. Thank you!