`snapshot...`

modules/deeplearning/cloud_opd_srcnn_abi.py

@@ -852,7 +852,8 @@ class SRCNN:
         print('upsample/normalize time: ', (t1 - t0))
 
         # data = np.stack([bt_us, refl_us, refl_sub_lo, refl_sub_hi, refl_sub_std, cld_opd_us], axis=3)
-        data = np.stack([bt_us, refl_us, cld_opd_us, refl_sub_std], axis=3)
+        # data = np.stack([bt_us, refl_us, cld_opd_us, refl_sub_std], axis=3)
+        data = np.stack([bt_us, refl_us, cld_opd_us], axis=3)
 
         cld_opd_sres = self.do_inference(data)
         cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)