-
Notifications
You must be signed in to change notification settings - Fork 9
/
FFD.py
executable file
·238 lines (217 loc) · 9.47 KB
/
FFD.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
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
import numpy as np
import copy
import gc
class obj_reader(object):
def __init__(self, filename):
"""Loads a Wavefront OBJ file. """
self.vertices = []
self.faces = []
self.tmp = []
for line in open(filename, "r"):
if line.startswith('#'): continue
values = line.split()
if not values: continue
if values[0] == 'v':
v = [float(x) for x in values[1:4]]
t = [float(x) for x in values[4:]]
self.vertices.append(v)
self.tmp.append(t)
elif values[0] == 'f':
face = []
self.faces.append(line)
class FFD(object):
def __init__(self, num_x, num_y, num_z, object_file,object_points):
self.cp_num_x = num_x
self.cp_num_y = num_y
self.cp_num_z = num_z
self.obj_file = obj_reader(object_file)
self.object_points_initial=object_points
def initial_ffd(self, initial=True):
tmp = copy.deepcopy(self.object_points_initial)
tmp.sort(key=lambda x: x[0])
self.min_x = tmp[0][0]
self.max_x = tmp[-1][0]
tmp.sort(key=lambda x: x[1])
self.min_y = tmp[0][1]
self.max_y = tmp[-1][1]
tmp.sort(key=lambda x: x[2])
self.min_z = tmp[0][2]
self.max_z = tmp[-1][2]
del tmp
self.nx = (self.max_x - self.min_x) / (self.cp_num_x - 1)
self.ny = (self.max_y - self.min_y) / (self.cp_num_y - 1)
self.nz = (self.max_z - self.min_z) / (self.cp_num_z - 1)
self.changed = {}
if initial:
self.control_points = [
[[np.array([0., 0., 0.])
for z in range(self.cp_num_z)]
for y in range(self.cp_num_y)]
for x in range(self.cp_num_x)]
self.control_points_location = [
[[np.array([self.min_x + x * self.nx, self.min_y + y * self.ny, self.min_z + z * self.nz])
for z in range(self.cp_num_z)]
for y in range(self.cp_num_y)]
for x in range(self.cp_num_x)]
self.control_points_location_initial = copy.deepcopy(self.control_points_location)
try:
del self.object_points
# gc.collect()
except:
pass
self.object_points = {}
for x in range(self.cp_num_x):
for y in range(self.cp_num_y):
for z in range(self.cp_num_z):
self.object_points[(x, y, z)] = set()
#self.object_points= []
for point_index in range(len(self.object_points_initial)):
[x, y, z] = self.object_points_initial[point_index]
i = int((x - self.min_x) / self.nx)
j = int((y - self.min_y) / self.ny)
k = int((z - self.min_z) / self.nz)
self.object_points[(i, j, k)].add((point_index, x, y, z))
#self.object_points.append(np.array([x,y,z]))
def load_cp(self, path):
f = open(path, 'r')
self.new_control_points = copy.deepcopy(self.control_points)
self.new_control_points_location = copy.deepcopy(self.control_points_location_initial)
begin = False
while True:
line = f.readline()
if not begin:
if line.startswith('#'):
if '#dimension#' in line:
line = f.readline()
self.dimension = int(line.split('\n')[0])
continue
if '#offsets of the control points#' in line:
begin = True
x = 0
y = 0
continue
elif '#control grid size#' in line:
size = []
for _ in range(self.dimension):
line = f.readline()
size.append(int(line.split('\n')[0]))
if self.dimension == 3:
# self.control_points = [[[None for z in range(size[2])]
# for y in range(size[1])]
# for x in range(size[0])]
continue
continue
else:
continue
else:
continue
else:
if line == '\n':
x += 1
y = 0
if x == size[0]:
break
else:
continue
else:
line = line.split('\t')[:-1]
for z in range(len(line)):
self.new_control_points[x][y][z] = np.array([np.float(i) for i in line[z].split(' ')])
# self.control_points[x][y][z] = np.array([np.float(i) for i in line[z].split(' ')]）
y += 1
for x in range(len(self.new_control_points)):
for y in range(len(self.new_control_points[x])):
for z in range(len(self.new_control_points[x][y])):
self.new_control_points_location[x][y][z] += self.new_control_points[x][y][z]
return
def save_obj(self,filename,new_vertices):
f = open(filename,'w')
if self.obj_file.tmp[0]!=[]:
for i in range(len(new_vertices)):
f.write('v '+str(new_vertices[i][0])+' '+str(new_vertices[i][1])+' '+str(new_vertices[i][2])+'\n')
else:
for i in range(len(new_vertices)):
f.write('v ' + str(new_vertices[i][0]) + ' ' + str(new_vertices[i][1]) + ' ' + str(
new_vertices[i][2]) +' '+str(self.obj_file.tmp[i][0]) + ' ' + str(self.obj_file.tmp[i][1]) + ' ' + str(
self.obj_file.tmp[i][2])+ '\n')
for i in range(len(self.obj_file.faces)):
f.write(self.obj_file.faces[i])
f.close()
print('Successfully save the face!')
return
def save_cp(self, filename):
f = open(filename, 'w')
f.write('#dimension#\n')
f.write('3\n')
f.write('#one to one#\n')
f.write('1\n')
f.write('#control grid size#\n')
f.write(str(self.cp_num_x) + '\n')
f.write(str(self.cp_num_y) + '\n')
f.write(str(self.cp_num_z) + '\n')
f.write('#control grid spacing#\n')
f.write(str(self.nx) + '\n')
f.write(str(self.ny) + '\n')
f.write(str(self.nz) + '\n')
f.write('#offsets of the control points#\n')
for x in range(len(self.control_points)):
for y in range(len(self.control_points[x])):
for z in range(len(self.control_points[x][y])):
f.write(
str(self.control_points[x][y][z][0]) + ' ' + str(self.control_points[x][y][z][1]) + ' ' + str(
self.control_points[x][y][z][2]) + '\t')
f.write('\n')
f.write('\n')
f.close()
return
def B(self, i, u):
if i == 0:
return (1 - u) ** 3 / 6
elif i == 1:
return (3 * u ** 3 - 6 * u ** 2 + 4) / 6
elif i == 2:
return (-3 * u ** 3 + 3 * u ** 2 + 3 * u + 1) / 6
elif i == 3:
return u ** 3 / 6
def T_local(self, object_point):
[x, y, z] = object_point
i = int((x - self.min_x) / self.nx) - 1
j = int((y - self.min_y) / self.ny) - 1
k = int((z - self.min_z) / self.nz) - 1
u = (x - self.min_x) / self.nx - int((x - self.min_x) / self.nx)
v = (y - self.min_y) / self.ny - int((y - self.min_y) / self.ny)
w = (z - self.min_z) / self.nz - int((z - self.min_z) / self.nz)
result = np.array([0., 0., 0.])
for l in range(4):
if 0 <= i + l < self.cp_num_x:
for m in range(4):
if 0 <= j + m < self.cp_num_y:
for n in range(4):
if 0 <= k + n < self.cp_num_z:
result = result + self.B(l, u) * self.B(m, v) * self.B(n, w) * self.control_points[i + l][j + m][k + n]
return result
def changed_reset(self):
del self.changed
self.changed = {}
def changed_update(self, id, location):
self.changed[id] = location
# Change one control point, we will get the [u,v,w] of the control point.
# def update_control_point(self, changed_control_point, change):
# [u, v, w] = changed_control_point
# self.control_points[u][v][w] += change
# self.control_points_location[u][v][w] += change
# for i in range(len(self.object_points)):
# self.object_points[i]=self.T_local(changed_control_point,self.object_points[i])
# return self.object_points
def update_control_point(self):
# tmp = copy.deepcopy(self.object_points)
# result = []
for (u, v, w), new_location in self.changed.items():
self.control_points[u][v][w] = new_location - self.control_points_location[u][v][w]
# for i in range(len(self.object_points)):
# change_point=self.T_local([u,v,w],tmp[i])
# if change_point[0]==0 and change_point[1]==0 and change_point[2]==0:
# continue
# else:
# result.append([i,self.object_points[i]+change_point])
# return result