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env google colab
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
The text was updated successfully, but these errors were encountered:
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env
google colab
steps
code
result
n.b.
the same steps work fine with pydelatin
best regards
The text was updated successfully, but these errors were encountered: