use new scaling coeffs

modules/deeplearning/icing_cnn.py

@@ -40,12 +40,12 @@ NOISE_STDDEV = 0.01
 img_width = 16
 
 mean_std_dct = {}
-mean_std_file = homedir+'data/icing/mean_std_no_ice.pkl'
+mean_std_file = homedir+'data/icing/mean_std_lo_hi_l1b.pkl'
 f = open(mean_std_file, 'rb')
 mean_std_dct_l2 = pickle.load(f)
 f.close()
 
-mean_std_file = homedir+'data/icing/mean_std_l1b_no_ice.pkl'
+mean_std_file = homedir+'data/icing/mean_std_lo_hi_l1b.pkl'
 f = open(mean_std_file, 'rb')
 mean_std_dct_l1b = pickle.load(f)
 f.close()