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Diffstat (limited to 'crl_tools/make_tables.py')
| -rw-r--r-- | crl_tools/make_tables.py | 108 |
1 files changed, 108 insertions, 0 deletions
diff --git a/crl_tools/make_tables.py b/crl_tools/make_tables.py new file mode 100644 index 0000000..eeadd7d --- /dev/null +++ b/crl_tools/make_tables.py @@ -0,0 +1,108 @@ +import numpy as np +import os + +def prefix(path): + return os.path.join(os.path.dirname(__file__), "table_data", path) + +print("# Generated by make_tables.py, do not modify") +print("import numpy as np") + +# +# CIE CMFs +# + +def load_cmf(path, ident, comment): + data = np.nan_to_num(np.genfromtxt(path, delimiter=","), copy=False) + + print("\n# %s" % comment) + print("%s = np.array([" % ident) + for row in data: + print(("\t[" + "%.8g, " * 4 + "],") % tuple(row)) + print("])") + +load_cmf(prefix("ciexyz31.csv"), "cmf", + "CIE 1931 2-deg, XYZ CMFs, http://www.cvrl.org/") +load_cmf(prefix("ciexyzj.csv"), "cmf_judd", + "CIE 1931 2-deg, XYZ CMFs modified by Judd (1951), http://www.cvrl.org/") +load_cmf(prefix("ciexyzjv.csv"), "cmf_judd_vos", + "CIE 1931 2-deg, XYZ CMFs modified by Judd (1951) and Vos (1978), http://www.cvrl.org/") +load_cmf(prefix("ciexyz64.csv"), "cmf_1964", + "CIE 1964 10-deg, XYZ CMFs") +load_cmf(prefix("linss2_10e_5.csv"), "cmf_lms", + "2-deg fundamentals based on the Stiles & Burch 10-deg CMFs (adjusted to 2-deg), http://www.cvrl.org/") + +# +# CIE illuminants +# + +data = np.genfromtxt(prefix("illuminants.csv")) +print("\n# CIE standard illuminants") +print("# https://law.resource.org/pub/us/cfr/ibr/003/cie.15.2004.tables.xls") +print("# nm\tA\tD65\tC\tD50\tD55\tD75") +print("illuminants = np.array([") +for row in data: + print(("\t[" + "%.8g, " * 7 + "],") % tuple(row)) +print("])") + +# +# CIE D illuminant eigenvectors +# + +data = np.genfromtxt(prefix("D_eigenvectors.csv")) +print("\n# #CIE D illuminant eigenvectors") +print("# http://www.brucelindbloom.com/index.html?Eqn_DIlluminant.html") +print("# wvl\tS0\tS1\tS2") +print("D_eigenvectors = np.array([") +for row in data: + print(("\t[" + "%.8g, " * 4 + "],") % tuple(row)) +print("])") + +# Series F illuminants + +data = np.genfromtxt(prefix("F.txt")) +print("\n# CIE standard illuminants") +print("# https://web.archive.org/web/20110725185449/http://www.colour.org/tc8-04/Data/F.txt") +print("# https://web.archive.org/web/20110725185449/http://www.colour.org/tc8-04/Data/F.txt") +print("#(nm)\tF1\tF2*\tF3\tF4\tF5\tF6+\tF7*\tF8+\tF9\tF10+\tF11*\tF12") +print("illuminants_F = np.array([") +for row in data: + print(("\t[" + "%.8g, " * 13 + "],") % tuple(row)) +print("])") + +# +# CRI Ra test color samples +# + +data = np.genfromtxt(prefix("tcs_ra.txt")) +print("\n# CRI Ra test color samples") +print("# https://www.waveformlighting.com/files/cri_1nm.txt") +print("# nm\tTCS01\tTCS02\tTCS03\tTCS04\tTCS05\tTCS06\tTCS07\tTCS08\tTCS09\tTCS10\tTCS11\tTCS12\tTCS13\tTCS14") +print("tcs_ra = np.array([") +for row in data: + print(("\t[" + "%.8g, " * 15 + "],") % tuple(row)) +print("])") + +# +# CQS test color samples +# + +data = np.genfromtxt(prefix("tcs_cqs.csv")) +print("\n# CQS test color samples") +print("# https://www.researchgate.net/profile/Velu_Arasu/post/What_will_be_RGBA_LEDs_pattern_to_creat_white_light/attachment/59d62f13c49f478072e9fb7b/AS%3A273582771376136%401442238623549/download/CQS+9.0.3++%28Win%29.xls") +print("# nm\tVS1\tVS2\tVS3\tVS4\tVS5\tVS6\tVS7\tVS8\tVS9\tVS10\tVS11\tVS12\tVS13\tVS14\tVS15") +print("tcs_cqs = np.array([") +for row in data: + print(("\t[" + "%.8g, " * 16 + "],") % tuple(row)) +print("])") + +# +# +# +print("\n# CQS multiplication factors") +print("# https://accreditedgemologists.org/lightingtaskforce/NISTDevelopmentofColorQualityScale.pdf") +print("# CCT factor") +data = np.genfromtxt(prefix("cqs_factors.csv")) +print("cqs_factors = np.array([") +for row in data: + print(("\t[" + "%.8g, " * 2 + "],") % tuple(row)) +print("])") |