snapshot...

modules/deeplearning/icing_fcn.py

@@ -1090,7 +1090,7 @@ class IcingIntensityFCN:
 
 
 def run_restore_static(filename_l1b, filename_l2, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both',
-                       satellite='GOES16', use_flight_altitude=False, out_file=None):
+                       use_flight_altitude=False, out_file=None):
     ckpt_dir_s = os.listdir(ckpt_dir_s_path)
     cm_s = []
     prob_s = []
@@ -1100,7 +1100,7 @@ def run_restore_static(filename_l1b, filename_l2, ckpt_dir_s_path, day_night='DA
         ckpt_dir = ckpt_dir_s_path + ckpt
         if not os.path.isdir(ckpt_dir):
             continue
-        nn = IcingIntensityFCN(day_night=day_night, l1b_or_l2=l1b_or_l2, satellite=satellite, use_flight_altitude=use_flight_altitude)
+        nn = IcingIntensityFCN(day_night=day_night, l1b_or_l2=l1b_or_l2, use_flight_altitude=use_flight_altitude)
         nn.run_restore(filename_l1b, filename_l2, ckpt_dir)
         cm_s.append(tf.math.confusion_matrix(nn.test_labels.flatten(), nn.test_preds.flatten()))
         prob_s.append(nn.test_probs.flatten())