forked from nsalminen/mesh2rgbd
-
Notifications
You must be signed in to change notification settings - Fork 1
/
render_mesh.py
73 lines (58 loc) · 2.39 KB
/
render_mesh.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
""" Rendering of .ply files containing objects: mesh -> RGB, depth
"""
import os
import sys
import numpy as np
import tifffile as tiff
from mesh2rgb.mesh.io import load_ply
from mesh2rgb.mesh.vis import pyrender_vertices
from mesh2rgb.mesh.transform import world_to_image
sys.path.append('..')
from mesh2rgb import mesh
def save_depth(file, data):
data = -data
tiff.imsave(file, data.astype("uint16"), photometric='miniswhite')
def save_rgb(file, data):
data = (data * 255).astype('uint8')
tiff.imsave(file, data, photometric='rgb')
def project_vertices(vertices: np.ndarray, triangles: np.ndarray, colors: np.ndarray, triangle_mask: np.ndarray = None,
w: int = 512, h: int = 512):
""" Render and save images with specified transformation
Args:
vertices: [3, nver]
triangles: [3, ntri]
colors: [3, nver]
triangle_mask: [ntri, 3], indicates whether triangle should be displayed in rendering
h: height of rendering
w: width of rendering
"""
obj = {}
camera = {}
colors = colors / np.max(colors)
obj['s'] = [100, 100, 100] # Use [1, 1, 1] to prevent object scaling
obj['angles'] = [0, 0, 0]
obj['t'] = [0, 0, 0]
camera['proj_type'] = 'perspective'
camera['at'] = [0, 0, 0]
camera['near'] = 500
camera['far'] = 4500
# Eye position
camera['fovy'] = 60
camera['up'] = [0, 1, 0]
# Z-axis: eye from far to near, looking at the center of face
for p in np.arange(900, 250 - 1, -100): # 1m -> .25m
camera['eye'] = [0, 0, p] # Stay in front of object
image_vertices = world_to_image(vertices, triangles, colors, obj, camera, w, h)
image, depth = mesh.render.render_rgbd(image_vertices, triangles, colors, triangle_mask, h, w)
image = np.minimum((np.maximum(image, 0)), 1)
save_rgb('{}/rgb_{}.tiff'.format(save_folder_rgb, p), image)
save_depth('{}/d_{}.tiff'.format(save_folder_depth, p), depth)
save_folder_rgb = 'results/rgb'
save_folder_depth = 'results/depth'
if not os.path.exists(save_folder_rgb):
os.makedirs(save_folder_rgb)
if not os.path.exists(save_folder_depth):
os.makedirs(save_folder_depth)
ply_vertices, ply_triangles = load_ply("data/teapot.ply") # Needs to be scaled to be visible
ply_colors = np.ones(ply_vertices.shape)
project_vertices(ply_vertices, ply_triangles, ply_colors)