update image padding for xai

explanations.py

@@ -8,9 +8,26 @@ import numpy as np
 import matplotlib.pyplot as plt
 from inference_resnet import inference_resnet_finer, preprocess, _clever_crop
 from labels import lookup_140
-from app import preprocess_image
+import cv2
 BATCH_SIZE = 1
 
+def preprocess_image(image, output_size=(300, 300)):
+    #shape (height, width, channels)
+    h, w = image.shape[:2]
+
+    #padding
+    if h > w:
+        padding = (h - w) // 2
+        image_padded = cv2.copyMakeBorder(image, 0, 0, padding, padding, cv2.BORDER_CONSTANT, value=[0, 0, 0])
+    else:
+        padding = (w - h) // 2
+        image_padded = cv2.copyMakeBorder(image, padding, padding, 0, 0, cv2.BORDER_CONSTANT, value=[0, 0, 0])
+    
+    # resize
+    image_resized = cv2.resize(image_padded, output_size, interpolation=cv2.INTER_AREA)
+
+    return image_resized
+
 def show(img, output_size,p=False, **kwargs):
     img = np.array(img, dtype=np.float32)