diff options
Diffstat (limited to 'test_interpolator.py')
| -rw-r--r-- | test_interpolator.py | 29 |
1 files changed, 15 insertions, 14 deletions
diff --git a/test_interpolator.py b/test_interpolator.py index ab542f3..ba476da 100644 --- a/test_interpolator.py +++ b/test_interpolator.py @@ -3,25 +3,26 @@ from colour import * from colour.difference import delta_E_CIE1976 from colour.models import eotf_inverse_sRGB from colour.recovery import Jakob2019Interpolator -from gsoc_common import D65, D65_xy, model_sd, plot_comparison +from gsoc_common import * + # This script tests if the interpolator correctly handles multi-dimensional # inputs. if __name__ == "__main__": - interp = Jakob2019Interpolator() - interp.from_file("data/srgb.coeff") + interp = Jakob2019Interpolator() + interp.from_file("data/srgb.coeff") - RGBs = np.random.random((7, 6, 5, 4, 3)) - ccs = interp.coefficients(RGBs) + RGBs = np.random.random((7, 6, 5, 4, 3)) + ccs = interp.coefficients(RGBs) - RGB = eotf_inverse_sRGB(RGBs[0, 0, 0, 0, :]) - XYZ = sRGB_to_XYZ(RGB) - Lab = XYZ_to_Lab(XYZ, D65_xy) - cc = ccs[0, 0, 0, 0, :] + RGB = eotf_inverse_sRGB(RGBs[0, 0, 0, 0, :]) + XYZ = sRGB_to_XYZ(RGB) + Lab = XYZ_to_Lab(XYZ, D65_xy) + cc = ccs[0, 0, 0, 0, :] - matched_sd = model_sd(cc, primed=False) - matched_XYZ = sd_to_XYZ(matched_sd, illuminant=D65) / 100 - matched_Lab = XYZ_to_Lab(matched_XYZ, D65_xy) - error = delta_E_CIE1976(Lab, matched_Lab) + matched_sd = model_sd(cc, primed=False) + matched_XYZ = sd_to_XYZ(matched_sd, illuminant=D65) / 100 + matched_Lab = XYZ_to_Lab(matched_XYZ, D65_xy) + error = delta_E_CIE1976(Lab, matched_Lab) - plot_comparison(XYZ, matched_sd, "Model", error, D65) + plot_comparison(XYZ, matched_sd, "Model", error, D65) |