snapshot...

modules/deeplearning/cloud_opd_srcnn_abi.py

@@ -881,7 +881,8 @@ class SRCNN:
         refl = np.expand_dims(refl, axis=0)
         # refl_us = self.upsample(refl)
         refl_us = refl
-        if DO_SMOOTH:
+        # if DO_SMOOTH:
+        if False:
             refl_us = smooth_2d(refl)
         refl_us = normalize(refl_us, 'refl_0_65um_nom', mean_std_dct)
 
@@ -914,6 +915,7 @@ class SRCNN:
         # 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], axis=3)
+        print('data in: ', data.shape)
 
         cld_opd_sres = self.do_inference(data)
         cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)