def read_flash_shading(read_file):
# 242 Shading [%] 51.5 CIE C 2.1 VN Set1 4.4 Optical Center vertical [pixel] 45.0
read_line = read_file.readline()
data_list_dic = {}
n = 235 + 1 # 接着flash_texture后面继续读
while read_line:
if data_model.read_flash_shading_line_number == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[0] + ' : ' + data_string[1])
data_list_dic[data_string[0]] = data_string[1]
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('flash_shading', data_list_dic)
def read_flash_texture(read_file):
# Texture
# 234 # Full DL_cross 0.351 0.497 0.896 0.809 0.588 0.795 0.582 0.599 0.528
read_line = read_file.readline()
data_list_dic = {}
n = 19 + 1 # 接着flash_awb后面继续读
while read_line:
if data_model.read_flash_texture_line_number == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[0][1:],
data_string[1][1:] + ' : ' + data_string[5])
data_list_dic[data_string[0][1:] + data_string[1]] = data_string[5]
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('flash_texture', data_list_dic)
def read_flash_awb(read_file):
# 18 SNR_total [dB] 28.88 d_L (1) 1.714 2.698 DR_total [D] 2.58 WB [CIE-C] 1.781 ISO_S/N10 250
read_line = read_file.readline()
n = 1 + 1
data_list_dic = {}
while read_file:
if data_model.read_flash_AWB_line_number == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[-4] + ' : ' + data_string[-3])
data_list_dic[data_string[-4]] = data_string[-3]
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('flash_awb', data_list_dic)
def read_sfr(read_file):
read_line = read_file.readline()
data_list_dic = {}
count_line = 0
n = 1 + 1
while read_line:
if data_model.read_sfr_line_number[count_line] == n:
read_line = read_file.readline().strip()
data_string = []
for x in read_line.split(','):
data_string.append(x)
if count_line == 0:
print(data_string[0] + ' CA' + data_string[3])
data_list_dic[data_string[0]] = data_string[3]
elif count_line == 1:
print(data_string[0] + ' CA' + data_string[3])
data_list_dic[data_string[0]] = data_string[3]
elif count_line == 2:
print(data_string[0] + ' MTF50P' + data_string[8])
data_list_dic['MTF50P'] = data_string[8]
count_line += 1
n += 1
if n > data_model.read_sfr_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
# 判断两个CA值得大小，找出最大的那个
a = float(data_list_dic['Worst Pt Wy'])
b = float(data_list_dic['Worst Cor'])
worst_data = a if (a > b) else b
del data_list_dic['Worst Pt Wy']
del data_list_dic['Worst Cor']
data_list_dic['CA'] = worst_data
data_model.set_data_dic('SFR+', data_list_dic)
def read_color(read_file):
read_line = read_file.readline()
data_list_dic = {}
count_line = 0
n = 1 + 1
while read_line:
if data_model.read_color_line_number[count_line] == n:
read_line = read_file.readline().strip()
data_string = []
for x in read_line.split(','):
data_string.append(x)
# print(data_string)
if count_line < 3:
print(data_string[0] + ' ' +
data_model.color_data_type_dic[0] + ':' + data_string[9])
data_list_dic[
data_string[0] +
data_model.color_data_type_dic[0]] = data_string[9][1:]
elif 3 <= count_line < 27:
print(data_model.color_data_type_dic[1] + ' ' +
data_string[0] + ':' + data_string[1][1:])
data_list_dic[data_model.color_data_type_dic[1] +
data_string[0]] = data_string[1][2:]
elif count_line >= 27:
print(data_model.color_data_type_dic[2] + ': ' +
data_string[1])
data_list_dic[
data_model.color_data_type_dic[2]] = data_string[1]
count_line += 1
n += 1
if n > data_model.read_color_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('color', data_list_dic)
def read_shading(read_file):
read_line = read_file.readline()
data_list_dic = {}
count_line = 0
n = 1 + 1
while read_line:
if data_model.read_shading_line_number[count_line] == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split(','):
data_string.append(x)
if count_line < 1:
print(data_string[0] + ':' + data_string[1])
data_list_dic[data_string[0]] = data_string[1][0:-1]
elif 1 <= count_line < 3:
print(data_model.shading_data_type[1] + ' ' + data_string[0] +
':' + data_string[2])
print(data_model.shading_data_type[2] + ' ' + data_string[0] +
':' + data_string[-2])
data_list_dic[data_model.shading_data_type[1] +
data_string[0]] = data_string[2]
data_list_dic[data_model.shading_data_type[2] +
data_string[0]] = data_string[-2]
count_line += 1
n += 1
if n > data_model.read_shading_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('shading', data_list_dic)
def read_ringing(read_file):
# Ringing
# 187 # Sub Edge (Y)MTF [%] vMTF Set 1 vMTF Set 2 vMTF Set 3 CPIQ_SmallPrint CPIQ_LargePrint CPIQ_Monitor
# 188 # Edges_TR Edge60 0.777 0.974 1.149 1.164 0.767 0.751 0.980 1.018 0.955
# 189 # Edges_TR Edge80 0.851 1.001 1.105 1.122 0.736 0.738 0.964 1.004 0.956
# 190 # Edges_LL Edge60 0.771 0.978 1.148 1.167 0.767 0.748 0.985 1.023 0.960
# 191 # Edges_LL Edge80 0.759 0.913 1.068 1.066 0.706 0.729 0.896 0.933 0.881
read_line = read_file.readline()
data_list_dic = {}
count_line = 0
n = 1 + 1
while read_line:
if data_model.read_ringing_line_number[count_line] == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[0], data_string[1] + ' : ' + data_string[5])
data_list_dic[data_string[0] + ' ' +
data_string[1]] = data_string[5]
count_line += 1
n += 1
if n > data_model.read_ringing_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('ringing', data_list_dic)
def read_texture(read_file):
# Texture
# 232 # Sub Patch (Y)MTF [%] vMTF Set 1 vMTF Set 2 vMTF Set 3 CPIQ_SmallPrint CPIQ_LargePrint CPIQ_Monitor
# 233 # Low DL_cross 0.289 0.405 0.814 0.702 0.521 0.796 0.481 0.494 0.432
# 234 # Full DL_cross 0.351 0.497 0.896 0.809 0.588 0.795 0.582 0.599 0.528
read_line = read_file.readline()
data_list_dic = {}
count_line = 0
n = 192 + 1 # 接着ringing后面继续读
while read_line:
if data_model.read_texture_line_number[count_line] == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[0][1:],
data_string[1][1:] + ' : ' + data_string[5])
data_list_dic[data_string[0][1:] + data_string[1]] = data_string[5]
count_line += 1
n += 1
if n > data_model.read_texture_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('texture', data_list_dic)
def read_noise(read_file):
# Nosie
# 270 Patch VN (1) VN (2) VN (3) d_L (1) d_L (2) dL (3) d_u (1) d_u (2) d_u (3)
# d_v (1) d_v (2) d_v (3)
# 271 OECF-20 0.535 0.185 0.242 0.483 0.170 0.222 0.048 0.016 0.021 0.033 0.005 0.007
# 272 OECF-19 0.777 0.525 0.541 0.626 0.394 0.405 0.142 0.124 0.129 0.094 0.077 0.082
# 273 OECF-18 1.186 1.030 1.009 1.071 0.932 0.910 0.114 0.098 0.099 0.055 0.043 0.045
# 274 OECF-17 0.638 0.268 0.308 0.592 0.248 0.284 0.045 0.019 0.022 0.026 0.013 0.014
# 275 OECF-16 1.539 0.709 0.803 1.404 0.643 0.726 0.134 0.064 0.074 0.065 0.037 0.041
# 276 OECF-15 1.731 0.587 0.776 1.594 0.541 0.715 0.140 0.047 0.063 0.057 0.017 0.023
# 277 OECF-14 2.874 1.102 1.362 2.651 1.018 1.258 0.235 0.091 0.112 0.070 0.020 0.025
# 278 OECF-13 2.932 1.092 1.371 2.599 0.862 1.119 0.339 0.236 0.257 0.138 0.091 0.104
# 279 OECF-12 2.755 0.998 1.287 2.408 0.757 1.020 0.346 0.247 0.270 0.160 0.095 0.111
# 280 OECF-11 3.308 1.433 1.685 3.066 1.325 1.558 0.265 0.118 0.138 0.050 0.024 0.030
# 281 OECF-10 3.299 1.554 1.731 3.029 1.429 1.589 0.241 0.123 0.135 0.198 0.066 0.084
# 282 OECF-9 2.834 1.187 1.400 2.586 1.077 1.269 0.231 0.109 0.127 0.160 0.052 0.072
# 283 OECF-8 2.710 1.478 1.575 2.443 1.319 1.402 0.205 0.124 0.129 0.284 0.164 0.197
# 284 OECF-7 1.918 0.803 0.972 1.614 0.582 0.726 0.190 0.171 0.180 0.439 0.232 0.288
# 285 OECF-6 1.733 1.010 1.099 1.293 0.632 0.698 0.233 0.237 0.242 0.748 0.541 0.605
# 286 OECF-5 1.369 0.483 0.626 1.274 0.449 0.582 0.102 0.036 0.047 0.027 0.009 0.012
# 287 OECF-4 1.752 0.837 0.981 1.298 0.476 0.591 0.405 0.341 0.362 0.338 0.219 0.252
# 288 OECF-3 1.343 0.486 0.608 1.234 0.446 0.558 0.116 0.043 0.054 0.031 0.011 0.015
# 289 OECF-2 1.606 0.793 0.911 1.246 0.523 0.611 0.367 0.280 0.310 0.147 0.097 0.112
# 290 OECF-1 1.250 0.481 0.575 1.128 0.428 0.510 0.109 0.052 0.061 0.091 0.030 0.042
read_line = read_file.readline()
count_line = 0
n = 235 + 1 # 接着texture后面继续读
data_list = [[0 for col in range(4)] for row in range(20)]
while read_line:
if data_model.read_noise_line_number[count_line] == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[0] + ':' + data_string[3], data_string[6],
data_string[9], data_string[12][:-1])
data_list[count_line][0] = data_string[3][1:]
data_list[count_line][1] = data_string[6][1:]
data_list[count_line][2] = data_string[9][1:]
data_list[count_line][3] = data_string[12][1:-1]
count_line += 1
n += 1
if n > data_model.read_noise_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('noise', cal_noise(data_list))
def read_resolution(read_file):
# 17 Siemens Lim.Resolution [LP/PH] 10%
# 18 Sub Mean(Y) Segment 1(Y) Segment 2(Y) Segment 3(Y) Segment 4(Y) Segment 5(Y) Segment 6(Y) Segment 7(Y) Segment 8(Y)
# 19 Star0 1750.93 1615.27 1748.81 3117.94 1793.50 1618.69 1716.02 1839.05 1700.17
# 20 Star1 1572.32 1533.48 1556.32 1576.74 1593.55 1546.56 1622.40 1575.07 1588.45
# 21 Star2 1618.41 1681.23 1800.21 1511.41 1387.57 1665.82 1682.52 1483.10 1382.04
# 22 Star3 1950.25 1721.67 1841.23 -1728.00 1797.50 2540.33 1795.87 2666.16 1812.75
# 23 Star4 1649.17 1719.62 1366.38 1527.39 1772.22 1690.75 1370.21 1540.57 1753.37
# 24 Star5 1591.16 1544.99 1647.49 1614.56 1605.18 1543.29 1619.15 1589.33 1620.56
# 25 Star6 1550.24 1626.25 1682.98 1485.15 1330.27 1615.66 1773.43 1500.79 1335.98
# 26 Star7 2553.06 2654.26 1814.71 -1728.00 1786.56 2581.75 1840.16 -1728.00 1811.61
# 27 Star8 1565.08 1546.96 1350.62 1508.97 1716.62 1536.95 1253.23 1494.46 1796.96
# 28 Star9 1553.37 1540.63 1594.18 1644.19 1509.54 1447.41 1529.19 1633.16 1533.75
# 29 Star10 1679.80 1769.86 1764.42 1633.98 1575.09 1742.81 1672.66 1586.72 1613.60
# 30 Star11 1441.49 1273.75 1604.92 1310.70 1174.41 1368.67 1654.83 1399.14 1177.46
# 31 Star12 1532.27 1426.32 1603.94 1693.73 1466.06 1360.53 1554.00 1759.49 1444.18
# 32 Star13 1528.95 979.89 1400.66 1818.18 1433.56 1054.26 1427.51 1780.19 1399.77
# 33 Star14 1586.60 1453.04 1388.23 1788.08 1726.23 1487.07 1378.46 1671.48 1585.01
# 34 Star15 1527.78 1562.65 1465.86 1467.83 1611.36 1525.64 1464.82 1491.32 1593.13
# 35 Star16 1702.60 2625.76 1620.90 1438.50 1702.59 2301.32 1600.75 1449.37 1757.16
# 36 Star17 1516.74 1480.06 1531.53 1440.41 1545.78 1567.85 1578.22 1443.30 1521.91
# 37 Star18 1653.87 2587.54 1648.49 1425.51 1521.10 1902.85 1678.69 1421.87 1564.43
# 38 Star19 1341.31 1399.55 1444.47 1251.16 1242.31 1363.26 1441.80 1228.44 1259.26
# 39 Star20 1435.45 1371.88 1470.87 1467.51 1221.02 1405.59 1613.53 1538.55 1251.20
# 40 Star21 1459.41 896.56 1280.59 1709.65 1245.58 925.19 1377.37 1791.63 1318.31
# 41 Star22 1550.40 1400.49 1451.50 1641.00 1507.23 1402.38 1494.80 1697.68 1692.35
# 42 Star23 1594.59 1619.08 1483.36 1547.21 1654.67 1662.50 1488.11 1554.26 1664.24
# 43 Star24 1672.55 2005.30 1648.24 1588.74 1636.68 1680.75 1596.75 1646.30 1734.21
read_line = read_file.readline()
count_line = 0
n = 1 + 1
data_list = {}
while read_line:
if data_model.read_resolution_line_number[count_line] == n:
read_line = read_file.readline()
data_string = []
for x in read_line.split('\t'):
data_string.append(x)
print(data_string[0] + ' ' + data_string[1])
data_list[data_string[0]] = data_string[1]
count_line += 1
n += 1
if n > data_model.read_resolution_line_number[-1]:
break
else:
read_line = read_file.readline()
n += 1
data_model.set_data_dic('resolution', sort_resolution(data_list))