-
Notifications
You must be signed in to change notification settings - Fork 0
/
extract_intersection.py
executable file
·81 lines (44 loc) · 2.13 KB
/
extract_intersection.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
74
75
76
77
78
79
80
81
'''
Name: extract_intersection.py
Version: 1.0
Summary: extract the intersection data at given z value
Author: suxing liu
Author-email: suxingliu@gmail.com
Created: 2018-04-29
'''
#!/usr/bin/env python3
class Point:
def __init__(self, coord_x, coord_y, normal = None):
self.c_x = coord_x
self.c_y = coord_y
self.nl = normal
def __str__(self): #Useful only for testing
return "({},{},{})".format(str(self.coord), str(self.ord), str(self.nl))
#Select slice segments
def filter_data(data, h):
data_filter = []
for i in range(2, len(data), 9):
if (data[i]-h)*(data[i+3]-h) < 0:
data_filter += [(Point(data[i-2], data[i-1], data[i]), Point(data[i+1], data[i+2], data[i+3]))]
if (data[i]-h)*(data[i+6]-h) < 0:
data_filter += [(Point(data[i-2], data[i-1], data[i]), Point(data[i+4], data[i+5], data[i+6]))]
if (data[i+3]-h)*(data[i+6]-h) < 0:
data_filter += [(Point(data[i+1], data[i+2], data[i+3]), Point(data[i+4], data[i+5], data[i+6]))]
return data_filter
#returns the coordinates of the points of intersection of the selected segments of the plane z = h
def intersection(segment, h):
data_final = []
for elt in segment:#tuple
coord_x = (elt[1].c_x - elt[0].c_x) * (h - elt[0].nl) / (elt[1].nl - elt[0].nl) + elt[0].c_x
coord_y = (elt[1].c_y - elt[0].c_y) * (h - elt[0].nl) / (elt[1].nl - elt[0].nl) + elt[0].c_y
data_final.append(Point(coord_x, coord_y))
return data_final
#find the bounds of each coordinate
def find_boundary(data):
xmin = min(data[i] for i in range(0, len(data), 3))
xmax = max(data[i] for i in range(0, len(data), 3))
ymin = min(data[i] for i in range(1, len(data), 3))
ymax = max(data[i] for i in range(1, len(data), 3))
zmin = min(data[i] for i in range(2, len(data), 3))
zmax = max(data[i] for i in range(2, len(data), 3))
return xmin, xmax, ymin, ymax, zmin, zmax