snapshot...

modules/deeplearning/cloud_fraction_fcn.py

@@ -810,8 +810,12 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     cld_frac = probs.argmax(axis=3)
     cld_frac = cld_frac.astype(np.int8)
     cld_frac_out = np.zeros((y_len, x_len), dtype=np.int8)
+    lons_out = np.zeros((y_len, x_len), dtype=np.float32)
+    lats_out = np.zeros((y_len, x_len), dtype=np.float32)
     border = int((KERNEL_SIZE - 1)/2)
     cld_frac_out[border:y_len - border, border:x_len - border] = cld_frac[0, :, :]
+    lons_out[border:y_len - border, border:x_len - border] = lons[:, :]
+    lats_out[border:y_len - border, border:x_len - border] = lats[:, :]
 
     bt = denormalize(bt, 'temp_11_0um_nom', mean_std_dct)
     refl_avg = denormalize(refl_avg, 'refl_0_65um_nom', mean_std_dct)