Hello,

I am using Metashape in python as part of a bigger python project.

I would like to access to the Models attributes (vertices, faces, texture coordinates) in numpy ndarrays.

For the moment, I loop over the vertices/faces/texture_coords like so:

`# Vertices`

verts = []

for v in model.vertices:

c = v.coord

verts.append([c.x, c.y, c.z])

verts = np.array(verts)

# Faces

tris = []

for f in model.faces:

tris .append(f.vertices)

tris = np.array(tris )

# Texture coordinates

uvs= []

for tv in model.tex_vertices:

uvs.append(tv.coord)

uvs= np.array(uvs)

But it is not optimized at all, so I would like to know if there is a way to access this data in faster way ?

As subsidiary question, when aligning the chunks for example :

`doc.alignChunks(reference=0, method=2, fit_scale=True)`

the vertices of the Model are not affected by the alignment.

In fact, I have to apply the transforms manually, vertex by vertex :

`for chunk in doc.chunks:`

model = chunk.models[0]

matrix = chunk.transform.matrix

for i, v in enumerate(model.vertices):

model.vertices[i].coord = matrix.mulp(v.coord)

Is there a better solution for this too ?

Thanks,

Glenn