snapshot...

modules/deeplearning/icing_cnn.py

@@ -1103,7 +1103,7 @@ def run_evaluate_static_avg(data_dct, ll, cc, ckpt_dir_s_path, day_night='DAY',
     return ice_lons, ice_lats, preds_2d
 
 
-def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', prob_thresh=0.5,
+def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both', prob_thresh=0.5,
                         flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False):
 
     ckpt_dir_s = os.listdir(ckpt_dir_s_path)
@@ -1116,7 +1116,7 @@ def run_evaluate_static(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', p
     preds_dct = {flvl: None for flvl in flight_levels}
 
     for flvl in flight_levels:
-        nn = IcingIntensityNN(day_night=day_night, use_flight_altitude=use_flight_altitude)
+        nn = IcingIntensityNN(day_night=day_night, l1b_or_l2=l1b_or_l2, use_flight_altitude=use_flight_altitude)
         nn.flight_level = flvl
         nn.setup_eval_pipeline(data_dct, num_tiles)
         nn.build_model()