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-rw-r--r--utils/tuning/libtuning/ctt_awb.py2
-rw-r--r--utils/tuning/libtuning/ctt_ccm.py8
2 files changed, 5 insertions, 5 deletions
diff --git a/utils/tuning/libtuning/ctt_awb.py b/utils/tuning/libtuning/ctt_awb.py
index f3a1ce77..abf22321 100644
--- a/utils/tuning/libtuning/ctt_awb.py
+++ b/utils/tuning/libtuning/ctt_awb.py
@@ -313,7 +313,7 @@ def get_alsc_patches(Img, colour_cals, grey=True):
g_patchs = (patches[1][3::4]+patches[2][3::4])/2 - Img.blacklevel_16
else:
cen_coords = Img.cen_coords
- col = Img.col
+ col = Img.color
patches = [np.array(Img.patches[i]) for i in Img.order]
r_patchs = patches[0] - Img.blacklevel_16
b_patchs = patches[3] - Img.blacklevel_16
diff --git a/utils/tuning/libtuning/ctt_ccm.py b/utils/tuning/libtuning/ctt_ccm.py
index c4362756..086ef8a2 100644
--- a/utils/tuning/libtuning/ctt_ccm.py
+++ b/utils/tuning/libtuning/ctt_ccm.py
@@ -249,7 +249,7 @@ def ccm(Cam, cal_cr_list, cal_cb_list):
logger.info(f'delta E optimized: average: {after_average:.2f} max:{new_worst_delta_e:.2f}')
logger.info(f'delta E old: average: {before_average:.2f} max:{old_worst_delta_e:.2f}')
- visualise_macbeth_chart(m_rgb, optimised_ccm_rgb, after_gamma_rgb, str(Img.col) + str(matrix_selection_types[typenum]))
+ visualise_macbeth_chart(m_rgb, optimised_ccm_rgb, after_gamma_rgb, str(Img.color) + str(matrix_selection_types[typenum]))
'''
The program will also save some visualisations of improvements.
Very pretty to look at. Top rectangle is ideal, Left square is
@@ -260,10 +260,10 @@ def ccm(Cam, cal_cr_list, cal_cb_list):
if a ccm has already been calculated for that temperature then don't
overwrite but save both. They will then be averaged later on
""" # Now going to use optimised color matrix, optimised_ccm
- if Img.col in ccm_tab.keys():
- ccm_tab[Img.col].append(optimised_ccm)
+ if Img.color in ccm_tab.keys():
+ ccm_tab[Img.color].append(optimised_ccm)
else:
- ccm_tab[Img.col] = [optimised_ccm]
+ ccm_tab[Img.color] = [optimised_ccm]
logger.info('Finished processing images')
"""