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| 1 #!/usr/bin/python | |
| 2 # -*- coding: utf-8 -*- | |
| 3 | |
| 4 from __future__ import print_function | |
| 5 from math import * | |
| 6 | |
| 7 | |
| 8 # From Barten SPIE 1989 | |
| 9 def contrast_sensitivity(cycles_per_degree, luminance): | |
| 10 a = 440.0 * pow(1.0 + 0.7 / luminance, -0.2) | |
| 11 b = 0.3 * pow(1 + 100.0 / luminance, 0.15) | |
| 12 return a * cycles_per_degree * exp(-b * cycles_per_degree) * sqrt(1.0 + 0.06 * exp(b * cycles_per_degree)) | |
| 13 | |
| 14 | |
| 15 # From Ward Larson Siggraph 1997 | |
| 16 def threshold_vs_intensity(adaptation_luminance): | |
| 17 log_lum = float('-inf') # Works in Python 2.6+ | |
| 18 try: | |
| 19 log_lum = log10(adaptation_luminance) | |
| 20 except ValueError: | |
| 21 pass | |
| 22 | |
| 23 x = 0.0 | |
| 24 | |
| 25 if log_lum < -3.94: | |
| 26 x = -2.86 | |
| 27 | |
| 28 elif log_lum < -1.44: | |
| 29 x = pow(0.405 * log_lum + 1.6, 2.18) - 2.86 | |
| 30 | |
| 31 elif log_lum < -0.0184: | |
| 32 x = log_lum - 0.395 | |
| 33 | |
| 34 elif log_lum < 1.9: | |
| 35 x = pow(0.249 * log_lum + 0.65, 2.7) - 0.72 | |
| 36 | |
| 37 else: | |
| 38 x = log_lum - 1.255 | |
| 39 | |
| 40 return pow(10.0, x) | |
| 41 | |
| 42 | |
| 43 # From Daly 1993 | |
| 44 def visual_mask(contrast): | |
| 45 x = pow(392.498 * contrast, 0.7) | |
| 46 x = pow(0.0153 * x, 4.0) | |
| 47 return pow(1.0 + x, 0.25) | |
| 48 | |
| 49 | |
| 50 # float gCubeRootTable[] | |
| 51 CUBE_ROOT_ACCESS_FUNCTION = ''' | |
| 52 float get_cube_root(float value) { | |
| 53 SkASSERT(value >= 0.0f); | |
| 54 SkASSERT(value * 1023.0f < 1024.0f); | |
| 55 return gCubeRootTable[(int)(value * 1023.0f)]; | |
| 56 } | |
| 57 ''' | |
| 58 def generate_cube_root_table(stream): | |
| 59 print('static float gCubeRootTable[] = { ', end='', file=stream) | |
|
djsollen
2013/07/16 13:55:11
put newline after {
| |
| 60 for i in range(1024): | |
| 61 print("%.10f" % pow(i / 1024.0, 1.0 / 3.0), end='f, ', file=stream) | |
|
djsollen
2013/07/16 13:55:11
if i % 6 newline?
| |
| 62 print('};', end='', file=stream) | |
| 63 print(CUBE_ROOT_ACCESS_FUNCTION, file=stream) | |
| 64 | |
| 65 | |
| 66 # float gGammaTable[] | |
| 67 GAMMA_ACCESS_FUNCTION = ''' | |
| 68 float get_gamma(unsigned char value) { | |
| 69 return gGammaTable[value]; | |
| 70 } | |
| 71 ''' | |
| 72 def generate_gamma_table(stream): | |
| 73 print('static float gGammaTable[] = { ', end='', file=stream) | |
| 74 for i in range(256): | |
| 75 print("%.10f" % pow(i / 255.0, 2.2), end='f, ', file=stream) | |
| 76 print('};', end='', file=stream) | |
| 77 print(GAMMA_ACCESS_FUNCTION, file=stream) | |
| 78 | |
| 79 | |
| 80 # float gTVITable[] | |
| 81 TVI_ACCESS_FUNCTION = ''' | |
| 82 float get_threshold_vs_intensity(float value) { | |
| 83 SkASSERT(value >= 0.0f); | |
| 84 SkASSERT(value < 100.0f); | |
| 85 return gTVITable[(int)(value * 100.0f)]; | |
| 86 } | |
| 87 ''' | |
| 88 def generate_tvi_table(stream): | |
| 89 print('static float gTVITable[] = { ', end='', file=stream) | |
| 90 for i in range(10000): | |
| 91 print("%.10f" % threshold_vs_intensity(i / 100.0), end='f, ', file=strea m) | |
| 92 print('};', end='', file=stream) | |
| 93 print(TVI_ACCESS_FUNCTION, file=stream) | |
| 94 | |
| 95 | |
| 96 # float gVisualMaskTable[] | |
| 97 VISUAL_MASK_DOMAIN = 4000 | |
| 98 VISUAL_MASK_ACCESS_FUNCTION = ''' | |
| 99 float get_visual_mask(float value) {{ | |
| 100 SkASSERT(value >= 0.0f); | |
| 101 SkASSERT(value < {}.0f); | |
| 102 return gVisualMaskTable[(int)value]; | |
| 103 }}''' | |
| 104 def generate_visual_mask_table(stream): | |
| 105 print('static float gVisualMaskTable[] = { ', end='', file=stream) | |
| 106 for i in range(VISUAL_MASK_DOMAIN): | |
| 107 print("%.10f" % visual_mask(i), end='f, ', file=stream) | |
| 108 print('};', end='', file=stream) | |
| 109 print(VISUAL_MASK_ACCESS_FUNCTION.format(VISUAL_MASK_DOMAIN), file=stream) | |
| 110 | |
| 111 | |
| 112 def generate_lookup_tables(stream): | |
| 113 print('namespace SkPMetricUtil {', file=stream) | |
| 114 generate_cube_root_table(stream) | |
| 115 generate_gamma_table(stream) | |
| 116 generate_tvi_table(stream) | |
| 117 generate_visual_mask_table(stream) | |
| 118 print('}', file=stream) | |
| 119 | |
| 120 | |
| 121 def main(): | |
| 122 pmetric_util_out = open('SkPMetricUtil_generated.h', 'wb') | |
| 123 generate_lookup_tables(pmetric_util_out) | |
| 124 pmetric_util_out.close() | |
| 125 | |
| 126 | |
| 127 if __name__ == '__main__': | |
| 128 main() | |
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