add compare resnet model

inference_resnet_v2.py

@@ -62,7 +62,7 @@ def inference_resnet_embedding_v2(x,model,size=384,n_classes=140,n_top=10):
 def inference_resnet_finer_v2(x,model,size=384,n_classes=142,n_top=10):
     
     x = tf.image.resize(x, (size, size))
-    x = tf.reshape(x, (-1, 384, 384, 3))/255
+    x = tf.reshape(x, (384, 384, 3))/255
     # _, batch_logits = model.predict(x)
     # predictions = tf.math.top_k(batch_logits, k=10)
     # print(predictions)