snapshot...

modules/deeplearning/srcnn.py

@@ -644,7 +644,6 @@ class SRCNN:
         self.restore(ckpt_dir)
 
     def run_evaluate(self, nda_lr, param, ckpt_dir):
-        # self.setup_eval_pipeline(filename)
         self.num_data_samples = 80000
         self.build_model()
         self.build_training()
@@ -661,9 +660,16 @@ def prepare(param_idx=1, filename='/Users/tomrink/data_valid_40.npy'):
     return nda_lr
 
 
-def run_evaluate_static(nda_lr, param='temp_11_0um_nom', ckpt_dir='/Users/tomrink/tf_model_sres/run-20220805173619/'):
+def run_evaluate_static(in_file, out_file, param='temp_11_0um_nom', ckpt_dir='/Users/tomrink/tf_model_sres/run-20220805173619/'):
+    nda = np.load(in_file)
+    nda = nda[:, data_idx, 2:133:2, 2:133:2]
+    nda = np.expand_dims(nda, axis=3)
+
     nn = SRCNN()
-    out_sr = nn.run_evaluate(nda_lr, param, ckpt_dir)
+    out_sr = nn.run_evaluate(nda, param, ckpt_dir)
+    if out_file is not None:
+        np.save(out_file, out_sr)
+    else:
         return out_sr