Spaces:
Running
on
Zero
Running
on
Zero
import numpy as np | |
from typing import * | |
from pathlib import Path | |
def read_ply( | |
file: Union[str, Path], | |
encoding: Union[str, None] = None, | |
ignore_unknown: bool = False | |
) -> Tuple[np.ndarray, np.ndarray]: | |
""" | |
Read .ply file, without preprocessing. | |
Args: | |
file (Any): filepath | |
encoding (str, optional): | |
Returns: | |
Tuple[np.ndarray, np.ndarray]: vertices, faces | |
""" | |
import plyfile | |
plydata = plyfile.PlyData.read(file) | |
vertices = np.stack([plydata['vertex'][k] for k in ['x', 'y', 'z']], axis=-1) | |
if 'face' in plydata: | |
faces = np.array(plydata['face']['vertex_indices'].tolist()) | |
else: | |
faces = None | |
return vertices, faces | |
def write_ply( | |
file: Union[str, Path], | |
vertices: np.ndarray, | |
faces: np.ndarray = None, | |
edges: np.ndarray = None, | |
vertex_colors: np.ndarray = None, | |
edge_colors: np.ndarray = None, | |
text: bool = False | |
): | |
""" | |
Write .ply file, without preprocessing. | |
Args: | |
file (Any): filepath | |
vertices (np.ndarray): [N, 3] | |
faces (np.ndarray): [T, E] | |
edges (np.ndarray): [E, 2] | |
vertex_colors (np.ndarray, optional): [N, 3]. Defaults to None. | |
edge_colors (np.ndarray, optional): [E, 3]. Defaults to None. | |
text (bool, optional): save data in text format. Defaults to False. | |
""" | |
import plyfile | |
assert vertices.ndim == 2 and vertices.shape[1] == 3 | |
vertices = vertices.astype(np.float32) | |
if faces is not None: | |
assert faces.ndim == 2 | |
faces = faces.astype(np.int32) | |
if edges is not None: | |
assert edges.ndim == 2 and edges.shape[1] == 2 | |
edges = edges.astype(np.int32) | |
if vertex_colors is not None: | |
assert vertex_colors.ndim == 2 and vertex_colors.shape[1] == 3 | |
if vertex_colors.dtype in [np.float32, np.float64]: | |
vertex_colors = vertex_colors * 255 | |
vertex_colors = np.clip(vertex_colors, 0, 255).astype(np.uint8) | |
vertices_data = np.zeros(len(vertices), dtype=[('x', 'f4'), ('y', 'f4'), ('z', 'f4'), ('red', 'u1'), ('green', 'u1'), ('blue', 'u1')]) | |
vertices_data['x'] = vertices[:, 0] | |
vertices_data['y'] = vertices[:, 1] | |
vertices_data['z'] = vertices[:, 2] | |
vertices_data['red'] = vertex_colors[:, 0] | |
vertices_data['green'] = vertex_colors[:, 1] | |
vertices_data['blue'] = vertex_colors[:, 2] | |
else: | |
vertices_data = np.array([tuple(v) for v in vertices], dtype=[('x', 'f4'), ('y', 'f4'), ('z', 'f4')]) | |
if faces is not None: | |
faces_data = np.zeros(len(faces), dtype=[('vertex_indices', 'i4', (faces.shape[1],))]) | |
faces_data['vertex_indices'] = faces | |
if edges is not None: | |
if edge_colors is not None: | |
assert edge_colors.ndim == 2 and edge_colors.shape[1] == 3 | |
if edge_colors.dtype in [np.float32, np.float64]: | |
edge_colors = edge_colors * 255 | |
edge_colors = np.clip(edge_colors, 0, 255).astype(np.uint8) | |
edges_data = np.zeros(len(edges), dtype=[('vertex1', 'i4'), ('vertex2', 'i4'), ('red', 'u1'), ('green', 'u1'), ('blue', 'u1')]) | |
edges_data['vertex1'] = edges[:, 0] | |
edges_data['vertex2'] = edges[:, 1] | |
edges_data['red'] = edge_colors[:, 0] | |
edges_data['green'] = edge_colors[:, 1] | |
edges_data['blue'] = edge_colors[:, 2] | |
else: | |
edges_data = np.array([tuple(e) for e in edges], dtype=[('vertex1', 'i4'), ('vertex2', 'i4')]) | |
ply_data = [plyfile.PlyElement.describe(vertices_data, 'vertex')] | |
if faces is not None: | |
ply_data.append(plyfile.PlyElement.describe(faces_data, 'face')) | |
if edges is not None: | |
ply_data.append(plyfile.PlyElement.describe(edges_data, 'edge')) | |
plyfile.PlyData(ply_data, text=text).write(file) | |