snapshot...

modules/deeplearning/cloud_fraction_fcn.py

@@ -768,6 +768,8 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     h5f = h5py.File(in_file, 'r')
 
     bt = get_grid_values_all(h5f, 'orig/temp_11_0um')
+    lons = get_grid_values_all(h5f, 'longitude')
+    lats = get_grid_values_all(h5f, 'latitude')
     bt = np.where(np.isnan(bt), 0, bt)
     bt = normalize(bt, 'temp_11_0um_nom', mean_std_dct)
 
@@ -797,7 +799,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     if out_file is not None:
         np.save(out_file, (cld_frac[0, :, :], denormalize(bt, 'temp_11_0um_nom', mean_std_dct), denormalize(refl_avg, 'refl_0_65um_nom', mean_std_dct), cp))
     else:
-        return cld_frac[0, :, :], bt, refl_avg, cp
+        return cld_frac[0, :, :], denormalize(bt, 'temp_11_0um_nom', mean_std_dct), denormalize(refl_avg, 'refl_0_65um_nom', mean_std_dct), cp
 
 
 def analyze2(nda_m, nda_i):