Add compatibility with old dataset name convention

wf_psf/metrics.py

@@ -416,7 +416,7 @@ def compute_shape_metrics(
     predictions = tf_semiparam_field.predict(x=pred_inputs, batch_size=batch_size)
 
     # GT data preparation
-    if dataset_dict is None or 'super_res_stars' not in dataset_dict:
+    if dataset_dict is None or 'super_res_stars' not in dataset_dict or 'SR_stars' not in dataset_dict:
         print('Generating GT super resolved stars from the GT model.')
         # Change interpolation parameters for the GT simPSF
         interp_pts_per_bin = simPSF_np.interp_pts_per_bin
@@ -438,7 +438,10 @@ def compute_shape_metrics(
 
     else:
         print('Using super resolved stars from dataset.')
-        GT_predictions = dataset_dict['super_res_stars']
+        if 'super_res_stars' in dataset_dict:
+            GT_predictions = dataset_dict['super_res_stars']
+        elif 'SR_stars' in dataset_dict:
+            GT_predictions = dataset_dict['SR_stars']
 
     # Calculate residuals
     residuals = np.sqrt(np.mean((GT_predictions - predictions)**2, axis=(1, 2)))