honeymoose
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MeshAnything
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fix alignment bug

This commit is contained in:
Yiwen Chen 2024-06-28 19:54:07 +08:00
parent ad95ec8d24
commit a35a2a15f3
1 changed files with 15 additions and 6 deletions
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21
app.py
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@ -98,7 +98,21 @@ def do_inference(input_3d, sample_seed=0, do_sampling=False, do_marching_cubes=F
input_mesh = trimesh.load(input_3d) input_mesh = trimesh.load(input_3d)
pc_list, mesh_list = process_mesh_to_pc([input_mesh], marching_cubes = do_marching_cubes) pc_list, mesh_list = process_mesh_to_pc([input_mesh], marching_cubes = do_marching_cubes)
pc_normal = pc_list[0] # 4096, 6
mesh = mesh_list[0] mesh = mesh_list[0]
vertices = mesh.vertices
pc_coor = pc_normal[:, :3]
normals = pc_normal[:, 3:]
bounds = np.array([vertices.min(axis=0), vertices.max(axis=0)])
# scale mesh and pc
vertices = vertices - (bounds[0] + bounds[1])[None, :] / 2
vertices = vertices / (bounds[1] - bounds[0]).max()
mesh.vertices = vertices
pc_coor = pc_coor - (bounds[0] + bounds[1])[None, :] / 2
pc_coor = pc_coor / (bounds[1] - bounds[0]).max()
mesh.merge_vertices() mesh.merge_vertices()
mesh.update_faces(mesh.unique_faces()) mesh.update_faces(mesh.unique_faces())
mesh.fix_normals() mesh.fix_normals()
@ -113,13 +127,8 @@ def do_inference(input_3d, sample_seed=0, do_sampling=False, do_marching_cubes=F
mesh.export(input_save_name) mesh.export(input_save_name)
input_render_res = wireframe_render(mesh) input_render_res = wireframe_render(mesh)
pc_normal = pc_list[0] # 4096, 6 pc_coor = pc_coor / np.abs(pc_coor).max() * 0.9995 # input should be from -1 to 1
pc_coor = pc_normal[:, :3]
normals = pc_normal[:, 3:]
bounds = np.array([pc_coor.min(axis=0), pc_coor.max(axis=0)])
pc_coor = pc_coor - (bounds[0] + bounds[1])[None, :] / 2
pc_coor = pc_coor / np.abs(pc_coor).max() * 0.9995
assert (np.linalg.norm(normals, axis=-1) > 0.99).all(), "normals should be unit vectors, something wrong" assert (np.linalg.norm(normals, axis=-1) > 0.99).all(), "normals should be unit vectors, something wrong"
normalized_pc_normal = np.concatenate([pc_coor, normals], axis=-1, dtype=np.float16) normalized_pc_normal = np.concatenate([pc_coor, normals], axis=-1, dtype=np.float16)