libtuning: Use the color member of the Image class

In the Image class the variable holding the color temperature is named
color instead of col which was used by the raspberry pi scripts. Rename
accordingly.

Signed-off-by: Stefan Klug <stefan.klug@ideasonboard.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Paul Elder <paul.elder@ideasonboard.com>

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

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')
     """