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April 4, 2013 19:39
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IES to Cycles addon for official 2.66 release (old nodetrees) http://blenderartists.org/forum/showthread.php?276063
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# ##### 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 compliant> | |
bl_info = { | |
"name": "IES to Cycles", | |
"author": "Lockal S.", | |
"version": (0, 4), | |
"blender": (2, 6, 6), | |
"location": "File > Import > IES Lamp Data (.ies)", | |
"description": "Import IES lamp data to cycles", | |
"warning": "", | |
"wiki_url": "", | |
"tracker_url": "", | |
"category": "Import-Export" | |
} | |
import bpy | |
import os | |
from math import log, pow, pi | |
from operator import add, truediv | |
def clamp(x, min, max): | |
if x < min: | |
return min | |
elif x > max: | |
return max | |
return x | |
# Temperature to RGB | |
# OSL version: | |
# http://blenderartists.org/forum/showthread.php?270332&p=2268693#post2268693 | |
def t2rgb(t): | |
if t <= 6500: | |
a = [0, -2902.1955373783176, -8257.7997278925690] | |
b = [0, 1669.5803561666639, 2575.2827530017594] | |
c = [1, 1.3302673723350029, 1.8993753891711275] | |
else: | |
a = [1745.0425298314172, 1216.6168361476490, -8257.7997278925690] | |
b = [-2666.3474220535695, -2173.1012343082230, 2575.2827530017594] | |
c = [0.55995389139931482, 0.70381203140554553, 1.8993753891711275] | |
color = map(add, map(truediv, a, map(add, [t] * 3, b)), c) | |
return [max(0, min(x, 1)) for x in color] + [1] | |
def simple_interp(k, x, y): | |
for i in range(len(x)): | |
if k == x[i]: | |
return y[i] | |
elif k < x[i]: | |
return y[i] + (k - x[i]) * (y[i - 1] - y[i]) / (x[i - 1] - x[i]) | |
def read_lamp_data(log, filename, multiplier, image_format, color_temperature): | |
version_table = { | |
'IESNA:LM-63-1986': 1986, | |
'IESNA:LM-63-1991': 1991, | |
'IESNA91': 1991, | |
'IESNA:LM-63-1995': 1995, | |
'IESNA:LM-63-2002': 2002, | |
} | |
name = os.path.splitext(os.path.split(filename)[1])[0] | |
file = open(filename, 'rt', encoding='cp1252') | |
content = file.read() | |
file.close() | |
s, content = content.split('\n', 1) | |
if s in version_table: | |
version = version_table[s] | |
else: | |
log({'DEBUG'}, 'IES file does not specify any version') | |
version = None | |
keywords = dict() | |
while content and not content.startswith('TILT='): | |
s, content = content.split('\n', 1) | |
if s.startswith('['): | |
endbracket = s.find(']') | |
if endbracket != -1: | |
keywords[s[1:endbracket]] = s[endbracket + 1:].strip() | |
s, content = content.split('\n', 1) | |
if not s.startswith('TILT'): | |
log({'ERROR'}, 'TILT keyword not found, check your IES file') | |
return {'CANCELED'} | |
file_data = content.replace(',', ' ').split() | |
lamps_num = int(file_data[0]) | |
#if lamps_num != 1.0: | |
# print('Only 1 lamp is supported at this moment') | |
lumens_per_lamp = float(file_data[1]) | |
candela_mult = float(file_data[2]) | |
v_angles_num = int(file_data[3]) | |
h_angles_num = int(file_data[4]) | |
if not v_angles_num or not h_angles_num: | |
log({'ERROR'}, 'TILT keyword not found, check your IES file') | |
return {'CANCELED'} | |
photometric_type = int(file_data[5]) | |
units_type = int(file_data[6]) | |
#if units_type not in [1, 2]: | |
# print('Units type should be either 1 (feet) or 2 (meters)') | |
width = float(file_data[7]) | |
length = float(file_data[8]) | |
height = float(file_data[9]) | |
ballast_factor = float(file_data[10]) | |
future_use = float(file_data[11]) | |
if future_use != 1.0: | |
print('Invalid future use field') | |
input_watts = float(file_data[12]) | |
v_angs = [float(s) for s in file_data[13:13 + v_angles_num]] | |
h_angs = [float(s) for s in file_data[13 + v_angles_num: | |
13 + v_angles_num + h_angles_num]] | |
if v_angs[0] == 0 and v_angs[-1] == 90: | |
lamp_cone_type = 'TYPE90' | |
elif v_angs[0] == 0 and v_angs[-1] == 180: | |
lamp_cone_type = 'TYPE180' | |
else: | |
log({'DEBUG'}, 'Lamps with vertical angles (%d-%d) are not supported' % | |
(v_angs[0], v_angs[-1])) | |
lamp_cone_type = 'TYPE180' | |
# read candela values | |
offset = 13 + len(v_angs) + len(h_angs) | |
candela_num = len(v_angs) * len(h_angs) | |
candela_values = [float(s) for s in file_data[offset:offset + candela_num]] | |
if image_format == 'VCURVES': | |
# reshape 1d array to 2d array | |
candela_2d = list(zip(*[iter(candela_values)] * len(v_angs))) | |
# scale vertical angles to [0, 1] range | |
x_data = [0.5 + 0.5 * x / v_angs[-1] for x in v_angs] | |
# approximate multidimentional lamp data to single dimention | |
y_data = [sum(x) / len(x) for x in zip(*candela_2d)] | |
y_data_max = max(y_data) | |
intensity = max(500, min(y_data_max * multiplier, 5000)) | |
lamp_data = list(zip( | |
x_data, [0.5 + 0.5 * y / y_data_max for y in y_data])) | |
return add_img(name=name, | |
intensity=intensity, | |
lamp_cone_type=lamp_cone_type, | |
image_format=image_format, | |
color_temperature=color_temperature, | |
lamp_data=lamp_data) | |
# reshape 1d array to 2d array | |
candela_2d = list(zip(*[iter(candela_values)] * len(v_angs))) | |
# check if angular offsets are the same | |
v_d = [v_angs[i] - v_angs[i - 1] for i in range(1, len(v_angs))] | |
h_d = [h_angs[i] - h_angs[i - 1] for i in range(1, len(h_angs))] | |
v_same = all(abs(v_d[i] - v_d[i - 1]) < 0.001 for i in range(1, len(v_d))) | |
h_same = all(abs(h_d[i] - h_d[i - 1]) < 0.001 for i in range(1, len(h_d))) | |
if not v_same: | |
vmin, vmax = v_angs[0], v_angs[-1] | |
divisions = int((vmax - vmin) / max(1, min(v_d))) | |
step = (vmax - vmin) / divisions | |
# Approximating non-uniform vertical angles with step = step | |
new_v_angs = [vmin + i * step for i in range(divisions + 1)] | |
new_candela_2d = [[simple_interp(ang, v_angs, line) | |
for ang in new_v_angs] for line in candela_2d] | |
# print(candela_2d) | |
# print(new_candela_2d) | |
v_angs = new_v_angs | |
candela_2d = new_candela_2d | |
if not h_same: | |
log({'DEBUG'}, 'Different offsets for horizontal angles!') | |
candela_2d = [[line[0]] + list(line) + [line[-1]] for line in candela_2d] | |
# flatten 2d array to 1d | |
candela_values = [y for x in candela_2d for y in x] | |
maxval = max(candela_values) | |
intensity = max(500, min(maxval * multiplier, 5000)) | |
if image_format == 'PNG': | |
float_buffer = False | |
filepath = '//' + name + '.png' | |
else: | |
float_buffer = True | |
filepath = '//' + name + '.exr' | |
img = bpy.data.images.new(name, len(v_angs) + 2, len(h_angs), | |
float_buffer=float_buffer) | |
for i in range(len(candela_values)): | |
val = candela_mult * candela_values[i] / maxval | |
img.pixels[4 * i] = img.pixels[4 * i + 1] = img.pixels[4 * i + 2] = val | |
bpy.ops.import_lamp.gen_exr('INVOKE_DEFAULT', | |
image_name=img.name, | |
intensity=intensity, | |
lamp_cone_type=lamp_cone_type, | |
image_format=image_format, | |
color_temperature=color_temperature, | |
filepath=filepath) | |
return {'FINISHED'} | |
def scale_coords(nt, sock_in, sock_out, size): | |
add = nt.nodes.new('MATH') | |
add.operation = 'ADD' | |
nt.links.new(add.inputs[0], sock_in) | |
add.inputs[1].default_value = 1.0 / (size - 2) | |
mul = nt.nodes.new('MATH') | |
mul.operation = 'MULTIPLY' | |
nt.links.new(mul.inputs[0], add.outputs[0]) | |
mul.inputs[1].default_value = (size - 2.0) / size | |
nt.links.new(sock_out, mul.outputs[0]) | |
def add_h_angles(nt, x, y, out): | |
na = nt.nodes.new('MATH') | |
na.operation = 'MULTIPLY' | |
nt.links.new(na.inputs[0], x) | |
nt.links.new(na.inputs[1], x) | |
nb = nt.nodes.new('MATH') | |
nb.operation = 'MULTIPLY' | |
nt.links.new(nb.inputs[0], y) | |
nt.links.new(nb.inputs[1], y) | |
nc = nt.nodes.new('MATH') | |
nc.operation = 'ADD' | |
nt.links.new(nc.inputs[0], na.outputs[0]) | |
nt.links.new(nc.inputs[1], nb.outputs[0]) | |
nd = nt.nodes.new('MATH') | |
nd.operation = 'POWER' | |
nt.links.new(nd.inputs[0], nc.outputs[0]) | |
nd.inputs[1].default_value = 0.5 | |
nf = nt.nodes.new('MATH') | |
nf.operation = 'ADD' | |
nt.links.new(nf.inputs[0], x) | |
nt.links.new(nf.inputs[1], nd.outputs[0]) | |
ng = nt.nodes.new('MATH') | |
ng.operation = 'DIVIDE' | |
nt.links.new(ng.inputs[0], y) | |
nt.links.new(ng.inputs[1], nf.outputs[0]) | |
nh = nt.nodes.new('MATH') | |
nh.operation = 'ARCTANGENT' | |
nt.links.new(nh.inputs[0], ng.outputs[0]) | |
nj = nt.nodes.new('MATH') | |
nj.operation = 'DIVIDE' | |
nt.links.new(nj.inputs[0], nh.outputs[0]) | |
nj.inputs[1].default_value = pi | |
nk = nt.nodes.new('MATH') | |
nk.operation = 'ADD' | |
nt.links.new(nk.inputs[0], nj.outputs[0]) | |
nk.inputs[1].default_value = 0.5 | |
nt.links.new(out, nk.outputs[0]) | |
def add_img(name, intensity, lamp_cone_type, image_format, color_temperature, | |
filepath=None, lamp_data=None): | |
if image_format != 'VCURVES': | |
img = bpy.data.images[name] | |
img.filepath_raw = filepath | |
img.file_format = image_format | |
img.save() | |
nt = bpy.data.node_groups.new('Lamp ' + name, 'SHADER') | |
n0 = nt.nodes.new('SEPRGB') | |
ne = nt.nodes.new('MATH') | |
ne.operation = 'ARCCOSINE' | |
nt.links.new(ne.inputs[0], n0.outputs[2]) | |
ni = nt.nodes.new('MATH') | |
ni.operation = 'DIVIDE' | |
nt.links.new(ni.inputs[0], ne.outputs[0]) | |
if lamp_cone_type == 'TYPE180': | |
ni.inputs[1].default_value = pi | |
else: # TYPE90: | |
ni.inputs[1].default_value = pi / 2 | |
if image_format == 'VCURVES': | |
nt_data = nt.nodes.new('CURVE_VEC') | |
nt.links.new(nt_data.inputs[1], ni.outputs[0]) | |
for x, y in lamp_data[:-1]: | |
pt = nt_data.mapping.curves[0].points.new(x, y) | |
pt.handle_type = 'VECTOR' | |
if lamp_cone_type == 'TYPE180': | |
nt_data.mapping.curves[0].points[-1].location[1] = lamp_data[-1][1] | |
nt_data.mapping.curves[0].points[-1].handle_type = 'VECTOR' | |
else: | |
pt = nt_data.mapping.curves[0].points.new(0.9999, lamp_data[-1][1]) | |
pt.handle_type = 'VECTOR' | |
nt_data.mapping.curves[0].points[-1].location[1] = 0.5 # no light | |
nt_data.mapping.curves[0].points[-1].handle_type = 'VECTOR' | |
nt_data_sep = nt.nodes.new('SEPRGB') | |
nt.links.new(nt_data_sep.inputs[0], nt_data.outputs[0]) | |
nt_data_out = nt_data_sep.outputs[0] | |
else: | |
n2 = nt.nodes.new('COMBRGB') | |
scale_coords(nt, ni.outputs[0], n2.inputs[0], img.size[0]) | |
if img.size[1] > 1: | |
add_h_angles(nt, n0.outputs[0], n0.outputs[1], n2.inputs[1]) | |
nt_data = nt.nodes.new('TEX_IMAGE') | |
nt_data.image = img | |
nt_data.color_space = 'NONE' | |
nt.links.new(nt_data.inputs[0], n2.outputs[0]) | |
nt_data_out = nt_data.outputs[0] | |
i1 = nt.inputs.new('Vector', 'VECTOR') | |
i2 = nt.inputs.new('Strength', 'VALUE') | |
nt.links.new(n0.inputs[0], i1) | |
nmult = nt.nodes.new('MATH') | |
nmult.operation = 'MULTIPLY' | |
nt.links.new(nmult.inputs[0], i2) | |
o1 = nt.outputs.new('Intensity', 'VALUE') | |
nt.links.new(o1, nmult.outputs[0]) | |
if lamp_cone_type == 'TYPE180' or image_format == 'VCURVES': | |
nt.links.new(nmult.inputs[1], nt_data_out) | |
else: # TYPE90 | |
nlt = nt.nodes.new('MATH') | |
nlt.operation = 'LESS_THAN' | |
nt.links.new(nlt.inputs[0], ni.outputs[0]) | |
nlt.inputs[1].default_value = 1.0 | |
nif = nt.nodes.new('MATH') | |
nif.operation = 'MULTIPLY' | |
nt.links.new(nif.inputs[0], nt_data_out) | |
nt.links.new(nif.inputs[1], nlt.outputs[0]) | |
nt.links.new(nmult.inputs[1], nif.outputs[0]) | |
lampdata = bpy.data.lamps.new('Lamp ' + name, 'POINT') | |
lampdata.use_nodes = True | |
lnt = lampdata.node_tree | |
#for node in lnt.nodes: | |
# print(node) | |
lnt_grp = lnt.nodes.new('GROUP', group=nt) | |
lnt.nodes['Emission'].inputs[0].default_value = t2rgb(color_temperature) | |
lnt.links.new(lnt.nodes['Emission'].inputs[1], lnt_grp.outputs[0]) | |
lnt_grp.inputs[1].default_value = intensity | |
lnt_map = lnt.nodes.new('MAPPING') | |
lnt_map.rotation[0] = pi | |
lnt.links.new(lnt_grp.inputs[0], lnt_map.outputs[0]) | |
lnt_geo = lnt.nodes.new('NEW_GEOMETRY') | |
lnt.links.new(lnt_map.inputs[0], lnt_geo.outputs[1]) | |
lamp = bpy.data.objects.new('Lamp ' + name, lampdata) | |
lamp.location = bpy.context.scene.cursor_location | |
bpy.context.scene.objects.link(lamp) | |
for ob in bpy.data.objects: | |
ob.select = False | |
lamp.select = True | |
bpy.context.scene.objects.active = lamp | |
return {'FINISHED'} | |
from bpy_extras.io_utils import ImportHelper, ExportHelper | |
from bpy.props import StringProperty, FloatProperty, EnumProperty, IntProperty | |
from bpy.types import Operator | |
format_prop_items = ( | |
('VCURVES', "Vector Curves", "Save lamp data in Vector Curves node"), | |
('OPEN_EXR', "EXR", "Save images to EXR format (up to 5 textures)"), | |
('PNG', "PNG", "Save images to PNG format") | |
) | |
format_prop_default = 'VCURVES' | |
class ImportIES(Operator, ImportHelper): | |
"""Import IES lamp data and generate a node group for cycles""" | |
bl_idname = "import_lamp.ies" | |
bl_label = "Import IES to Cycles" | |
filter_glob = StringProperty(default="*.ies", options={'HIDDEN'}) | |
lamp_strength = FloatProperty( | |
name="Strength", | |
description="Multiplier for lamp strength", | |
default=1.0, | |
) | |
image_format = EnumProperty( | |
name='Convert to', | |
items=format_prop_items, | |
default=format_prop_default, | |
) | |
color_temperature = IntProperty( | |
name="Color Temperature", | |
description="Color temperature of lamp, 3000=soft white, " | |
"5000=cool white, 6500=daylight", | |
default=6500, | |
) | |
def execute(self, context): | |
return read_lamp_data(self.report, self.filepath, self.lamp_strength, | |
self.image_format, self.color_temperature) | |
class ExportLampEXR(Operator, ExportHelper): | |
"""Export IES lamp data in EXR format""" | |
bl_idname = "import_lamp.gen_exr" | |
bl_label = "Export lamp to image" | |
image_name = StringProperty(options={'HIDDEN'}) | |
intensity = FloatProperty(options={'HIDDEN'}) | |
lamp_cone_type = EnumProperty( | |
items=(('TYPE90', "0-90", "Angles from 0 to 90 degrees"), | |
('TYPE180', "0-180", "Angles from 0 to 90 degrees")), | |
options={'HIDDEN'} | |
) | |
image_format = EnumProperty(items=format_prop_items, options={'HIDDEN'}) | |
color_temperature = IntProperty(options={'HIDDEN'}) | |
use_filter_image = True | |
def execute(self, context): | |
return add_img(name=self.image_name, | |
intensity=self.intensity, | |
lamp_cone_type=self.lamp_cone_type, | |
image_format=self.image_format, | |
color_temperature=self.color_temperature, | |
filepath=self.filepath) | |
def invoke(self, context, event): | |
if self.image_format == 'PNG': | |
self.filename_ext = ".png" | |
else: | |
self.filename_ext = ".exr" | |
return ExportHelper.invoke(self, context, event) | |
def menu_func(self, context): | |
self.layout.operator(ImportIES.bl_idname, text='IES Lamp Data (.ies)') | |
def register(): | |
bpy.utils.register_class(ImportIES) | |
bpy.utils.register_class(ExportLampEXR) | |
bpy.types.INFO_MT_file_import.append(menu_func) | |
def unregister(): | |
bpy.utils.unregister_class(ImportIES) | |
bpy.types.INFO_MT_file_import.remove(menu_func) | |
if __name__ == "__main__": | |
register() | |
# test call | |
# bpy.ops.import_lamp.ies('INVOKE_DEFAULT') |
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