snapshot...

modules/deeplearning/cloud_fraction_fcn_abi.py

-import glob
 import tensorflow as tf
 
 from util.plot_cm import confusion_matrix_values
 from util.setup import logdir, modeldir, now, ancillary_path
 from util.util import EarlyStop, normalize, denormalize, get_grid_values_all
+import glob
 import os, datetime
 import numpy as np
 import pickle
@@ -882,6 +882,7 @@ def run_evaluate_static_valid(in_file, out_file, ckpt_dir):
     cp_sres = get_grid_values_all(h5f, 'super/'+label_param)
 
     mean_cp_sres = get_grid_cell_mean(np.expand_dims(cp_sres, axis=0))[0]
+    cld_frac_truth = get_label_data_5cat(np.expand_dims(cp_sres, axis=0))[0]
 
     h5f.close()
 
@@ -901,7 +902,7 @@ def run_evaluate_static_valid(in_file, out_file, ckpt_dir):
     })
 
     if out_file is not None:
-        np.save(out_file, (cld_frac_out, bt, refl, cp, lons, lats, mean_cp_sres))
+        np.save(out_file, (cld_frac_out, bt, refl, cp, lons, lats, mean_cp_sres, cld_frac_truth))
     else:
         return [cld_frac_out, bt, refl, cp, lons, lats]