TypeError: __init__(): incompatible constructor arguments. The following argument types are supported

[sugizo]

env
google colab

steps

pip install -U pymartini pymeshlab
!wget -c https://raw.githubusercontent.com/kylebarron/pymartini/master/test/data/fuji.png

code

import imageio.v2 as imageio
from pymartini import decode_ele, Martini, rescale_positions
import pymeshlab

path = './fuji.png'
fuji = imageio.imread(path)
terrain = decode_ele(fuji, 'mapbox')
martini = Martini(fuji.shape[0] + 1)
tile = martini.create_tile(terrain)
vertices, triangles = tile.get_mesh(10)
m = pymeshlab.Mesh(vertices, triangles)
ms = pymeshlab.MeshSet()
ms.add_mesh(m)
ms.save_current_mesh(f'{file_name}_pymeshlab.stl')

result

TypeError                                 Traceback (most recent call last)
[<ipython-input-11-7c37458cfb79>](https://localhost:8080/#) in <cell line: 11>()
      9 tile = martini.create_tile(terrain)
     10 vertices, triangles = tile.get_mesh(10)
---> 11 m = pymeshlab.Mesh(vertices, triangles)
     12 ms = pymeshlab.MeshSet()
     13 ms.add_mesh(m)

TypeError: __init__(): incompatible constructor arguments. The following argument types are supported:
    1. pymeshlab.pmeshlab.Mesh(vertex_matrix: numpy.ndarray[numpy.float64[m, 3]] = array([], shape=(0, 3), dtype=float64), face_matrix: numpy.ndarray[numpy.int32[m, 3]] = array([], shape=(0, 3), dtype=int32), edge_matrix: numpy.ndarray[numpy.int32[m, 2]] = array([], shape=(0, 2), dtype=int32), v_normals_matrix: numpy.ndarray[numpy.float64[m, 3]] = array([], shape=(0, 3), dtype=float64), f_normals_matrix: numpy.ndarray[numpy.float64[m, 3]] = array([], shape=(0, 3), dtype=float64), v_scalar_array: numpy.ndarray[numpy.float64[m, 1]] = array([], dtype=float64), f_scalar_array: numpy.ndarray[numpy.float64[m, 1]] = array([], dtype=float64), v_color_matrix: numpy.ndarray[numpy.float64[m, 4]] = array([], shape=(0, 4), dtype=float64), f_color_matrix: numpy.ndarray[numpy.float64[m, 4]] = array([], shape=(0, 4), dtype=float64), v_tex_coords_matrix: numpy.ndarray[numpy.float64[m, 2]] = array([], shape=(0, 2), dtype=float64), w_tex_coords_matrix: numpy.ndarray[numpy.float64[m, 2]] = array([], shape=(0, 2), dtype=float64))
    2. pymeshlab.pmeshlab.Mesh(vertex_matrix: numpy.ndarray[numpy.float64[m, 3]], face_list_of_indices: List[numpy.ndarray[numpy.uint32[m, 1]]], v_normals_matrix: numpy.ndarray[numpy.float64[m, 3]] = array([], shape=(0, 3), dtype=float64), f_normals_matrix: numpy.ndarray[numpy.float64[m, 3]] = array([], shape=(0, 3), dtype=float64), v_scalar_array: numpy.ndarray[numpy.float64[m, 1]] = array([], dtype=float64), f_scalar_array: numpy.ndarray[numpy.float64[m, 1]] = array([], dtype=float64), v_color_matrix: numpy.ndarray[numpy.float64[m, 4]] = array([], shape=(0, 4), dtype=float64), f_color_matrix: numpy.ndarray[numpy.float64[m, 4]] = array([], shape=(0, 4), dtype=float64), v_tex_coords_matrix: numpy.ndarray[numpy.float64[m, 2]] = array([], shape=(0, 2), dtype=float64))

Invoked with: array([308, 100, 304, ..., 294,  98, 292], dtype=uint16), array([    0,     1,     2, ..., 44963, 45051, 45071], dtype=uint32)

n.b.
the same steps work fine with pydelatin

best regards