snapshot...

modules/deeplearning/icing_cnn.py

@@ -1024,7 +1024,7 @@ def run_evaluate_static(h5f, ckpt_dir_s_path, prob_thresh=0.5, satellite='GOES16
         if not os.path.isdir(ckpt_dir):
             continue
         nn = IcingIntensityNN()
-        nn.setup_eval_pipeline(data_dct, len(ll) * len(cc))
+        nn.setup_eval_pipeline(data_dct, num_lines * num_elems)
         nn.build_model()
         nn.build_training()
         nn.build_evaluation()
@@ -1059,15 +1059,9 @@ def run_evaluate_static(h5f, ckpt_dir_s_path, prob_thresh=0.5, satellite='GOES16
     ice_cc = cc[ice_mask]
     ice_ll = ll[ice_mask]
 
-    # ice_lons = []
-    # ice_lats = []
-    # for k in range(ice_cc.shape[0]):
-    #     lon, lat = nav.lc_to_earth(ice_cc[k], ice_ll[k])
-    #     ice_lons.append(lon)
-    #     ice_lats.append(lat)
     ice_lons, ice_lats = nav.lc_to_earth(ice_cc, ice_ll)
 
-    return ice_lons, ice_lats
+    return ice_lons, ice_lats, preds_2d, lons_2d, lats_2d, x_rad, y_rad
 
 
 if __name__ == "__main__":