update xai preprocess

explanations.py

@@ -98,7 +98,7 @@ def explain(model, input_image,explain_method,nb_samples,size=600, n_classes=171
     #          #
     # ]
 
-    cropped,repetitions = _clever_crop(input_image,(size,size))
+    # cropped,repetitions = _clever_crop(input_image,(size,size))
     # size_repetitions = int(size//(repetitions.numpy()+1))
     # print(size)
     # print(type(input_image))
@@ -108,7 +108,9 @@ def explain(model, input_image,explain_method,nb_samples,size=600, n_classes=171
     # print(repetitions)
     # print(size_repetitions)
     # print(type(size_repetitions))
-    X = preprocess(cropped,size=size)
+    # X = preprocess(cropped,size=size)
+    X = tf.image.resize(input_image, (size, size))
+    X = tf.reshape(X, (size, size, 3))/255
     predictions = class_model.predict(np.array([X]))
     #Y = np.argmax(predictions)
     top_5_indices = np.argsort(predictions[0])[-5:][::-1]