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
|
# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# <pep8-80 compliant>
""" This script is an importer for the nuke's .chan files"""
from mathutils import Vector, Matrix, Euler
from math import radians
def read_chan(context, filepath, z_up, rot_ord, sensor_width, sensor_height):
# get the active object
scene = context.scene
obj = context.active_object
camera = obj.data if obj.type == 'CAMERA' else None
# prepare the correcting matrix
rot_mat = Matrix.Rotation(radians(90.0), 4, 'X').to_4x4()
# read the file
filehandle = open(filepath, 'r')
# iterate throug the files lines
for line in filehandle:
# reset the target objects matrix
# (the one from whitch one we'll extract the final transforms)
m_trans_mat = Matrix()
# strip the line
data = line.split()
# test if the line is not commented out
if data and not data[0].startswith("#"):
# set the frame number basing on the chan file
scene.frame_set(int(data[0]))
# read the translation values from the first three columns of line
v_transl = Vector((float(data[1]),
float(data[2]),
float(data[3])))
translation_mat = Matrix.Translation(v_transl)
translation_mat.to_4x4()
# read the rotations, and set the rotation order basing on the
# order set during the export (it's not being saved in the chan
# file you have to keep it noted somewhere
# the actual objects rotation order doesn't matter since the
# rotations are being extracted from the matrix afterwards
e_rot = Euler((radians(float(data[4])),
radians(float(data[5])),
radians(float(data[6]))))
e_rot.order = rot_ord
mrot_mat = e_rot.to_matrix()
mrot_mat.resize_4x4()
# merge the rotation and translation
m_trans_mat = translation_mat * mrot_mat
# correct the world space
# (nuke's and blenders scene spaces are different)
if z_up:
m_trans_mat = rot_mat * m_trans_mat
# break the matrix into a set of the coordinates
trns = m_trans_mat.decompose()
# set the location and the location's keyframe
obj.location = trns[0]
obj.keyframe_insert("location")
# convert the rotation to euler angles (or not)
# basing on the objects rotation mode
if obj.rotation_mode == 'QUATERNION':
obj.rotation_quaternion = trns[1]
obj.keyframe_insert("rotation_quaternion")
elif obj.rotation_mode == 'AXIS_ANGLE':
tmp_rot = trns[1].to_axis_angle()
obj.rotation_axis_angle = (tmp_rot[1], ) + tmp_rot[0][:]
obj.keyframe_insert("rotation_axis_angle")
del tmp_rot
else:
obj.rotation_euler = trns[1].to_euler(obj.rotation_mode)
obj.keyframe_insert("rotation_euler")
# check if the object is camera and fov data is present
if camera and len(data) > 7:
camera.sensor_fit = 'HORIZONTAL'
camera.sensor_width = sensor_width
camera.sensor_height = sensor_height
camera.angle_y = radians(float(data[7]))
camera.keyframe_insert("lens")
filehandle.close()
return {'FINISHED'}
|
