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Implement __future__ division support.
[OpenColorIO-Configs.git]
/
aces_1.0.0
/
python
/
aces_ocio
/
create_arri_colorspaces.py
diff --git
a/aces_1.0.0/python/aces_ocio/create_arri_colorspaces.py
b/aces_1.0.0/python/aces_ocio/create_arri_colorspaces.py
index
76af824
..
13533d5
100644
(file)
--- a/
aces_1.0.0/python/aces_ocio/create_arri_colorspaces.py
+++ b/
aces_1.0.0/python/aces_ocio/create_arri_colorspaces.py
@@
-5,6
+5,8
@@
Implements support for *ARRI* colorspaces conversions and transfer functions.
"""
Implements support for *ARRI* colorspaces conversions and transfer functions.
"""
+from __future__ import division
+
import array
import math
import os
import array
import math
import os
@@
-63,7
+65,7
@@
def create_log_c(gamut,
# Globals.
IDT_maker_version = '0.08'
# Globals.
IDT_maker_version = '0.08'
- nominal_EI = 400
.0
+ nominal_EI = 400
black_signal = 0.003907
mid_gray_signal = 0.01
encoding_gain = 0.256598
black_signal = 0.003907
mid_gray_signal = 0.01
encoding_gain = 0.256598
@@
-74,8
+76,8
@@
def create_log_c(gamut,
0.89 - 1) / 3 + 1) * encoding_gain
def log_c_inverse_parameters_for_EI(EI):
0.89 - 1) / 3 + 1) * encoding_gain
def log_c_inverse_parameters_for_EI(EI):
- cut = 1
.0 / 9.0
- slope = 1
.0
/ (cut * math.log(10))
+ cut = 1
/ 9
+ slope = 1 / (cut * math.log(10))
offset = math.log10(cut) - slope * cut
gain = EI / nominal_EI
gray = mid_gray_signal / gain
offset = math.log10(cut) - slope * cut
gain = EI / nominal_EI
gray = mid_gray_signal / gain
@@
-83,10
+85,10
@@
def create_log_c(gamut,
enc_gain = gain_for_EI(EI)
enc_offset = encoding_offset
for i in range(0, 3):
enc_gain = gain_for_EI(EI)
enc_offset = encoding_offset
for i in range(0, 3):
- nz = ((95
.0 / 1023.0
- enc_offset) / enc_gain - offset) / slope
+ nz = ((95
/ 1023
- enc_offset) / enc_gain - offset) / slope
enc_offset = encoding_offset - math.log10(1 + nz) * enc_gain
enc_offset = encoding_offset - math.log10(1 + nz) * enc_gain
- a = 1
.0
/ gray
+ a = 1 / gray
b = nz - black_signal / gray
e = slope * a * enc_gain
f = enc_gain * (slope * b + offset) + enc_offset
b = nz - black_signal / gray
e = slope * a * enc_gain
f = enc_gain * (slope * b + offset) + enc_offset
@@
-111,10
+113,10
@@
def create_log_c(gamut,
p = log_c_inverse_parameters_for_EI(exposure_index)
breakpoint = p['e'] * p['cut'] + p['f']
if code_value > breakpoint:
p = log_c_inverse_parameters_for_EI(exposure_index)
breakpoint = p['e'] * p['cut'] + p['f']
if code_value > breakpoint:
- linear = ((pow(10, (code_value / 1023
.0
- p['d']) / p['c']) -
+ linear = ((pow(10, (code_value / 1023 - p['d']) / p['c']) -
p['b']) / p['a'])
else:
p['b']) / p['a'])
else:
- linear = (code_value / 1023
.0
- p['f']) / p['e']
+ linear = (code_value / 1023 - p['f']) / p['e']
return linear
cs.to_reference_transforms = []
return linear
cs.to_reference_transforms = []
@@
-122,7
+124,7
@@
def create_log_c(gamut,
if transfer_function == 'V3 LogC':
data = array.array('f', '\0' * lut_resolution_1d * 4)
for c in range(lut_resolution_1d):
if transfer_function == 'V3 LogC':
data = array.array('f', '\0' * lut_resolution_1d * 4)
for c in range(lut_resolution_1d):
- data[c] = log_c_to_linear(1023
.0
* c / (lut_resolution_1d - 1),
+ data[c] = log_c_to_linear(1023 * c / (lut_resolution_1d - 1),
int(exposure_index))
lut = '%s_to_linear.spi1d' % (
int(exposure_index))
lut = '%s_to_linear.spi1d' % (
@@
-132,8
+134,8
@@
def create_log_c(gamut,
genlut.write_SPI_1d(
os.path.join(lut_directory, lut),
genlut.write_SPI_1d(
os.path.join(lut_directory, lut),
- 0
.0
,
- 1
.0
,
+ 0,
+ 1,
data,
lut_resolution_1d,
1)
data,
lut_resolution_1d,
1)
@@
-178,8
+180,8
@@
def create_colorspaces(lut_directory, lut_resolution_1d):
transfer_function = 'V3 LogC'
gamut = 'Wide Gamut'
transfer_function = 'V3 LogC'
gamut = 'Wide Gamut'
- # EIs = [160
.0, 200.0, 250.0, 320.0, 400.0, 500.0, 640.0, 800.
0,
- # 1000
.0, 1280.0, 1600.0, 2000.0, 2560.0, 3200.
0]
+ # EIs = [160
, 200, 250, 320, 400, 500, 640, 80
0,
+ # 1000
, 1280, 1600, 2000, 2560, 320
0]
EIs = [160, 200, 250, 320, 400, 500, 640, 800,
1000, 1280, 1600, 2000, 2560, 3200]
default_EI = 800
EIs = [160, 200, 250, 320, 400, 500, 640, 800,
1000, 1280, 1600, 2000, 2560, 3200]
default_EI = 800