Disable resize and normalization for detection. Change function to load_image.

app.py

@@ -33,8 +33,8 @@ enhancement_type = st.sidebar.selectbox(
     ["Invert", "High Pass Filter", "Unsharp Masking", "Histogram Equalization", "CLAHE"]
 )
 
-H = 224
-W = 224
+# H = 224
+# W = 224
 
 @st.cache_resource
 def load_model_detection():
@@ -52,12 +52,12 @@ def load_model_detection():
     )
     return model
 
-def preprocess_image(image):
-    """ Preprocess the image to the required size and normalization. """
-    image = cv2.resize(image, (W, H))
-    image = (image - 127.5) / 127.5  # Normalize to [-1, +1]
-    image = np.expand_dims(image, axis=0).astype(np.float32)
-    return image
+# def preprocess_image(image):
+#     """ Preprocess the image to the required size and normalization. """
+#     image = cv2.resize(image, (W, H))
+#     image = (image - 127.5) / 127.5  # Normalize to [-1, +1]
+#     image = np.expand_dims(image, axis=0).astype(np.float32)
+#     return image
 
 
 
@@ -467,7 +467,7 @@ if uploaded_file is not None:
         image = cv2.imdecode(file_bytes, 1) 
         if st.button('Auto Detect'):
             st.write("Processing...")
-            input_image = preprocess_image(image)
+            input_image = load_image(image)
             # input_image = enhancement_type
             # input_image = cv2.resize(enhanced_image, (W, H))  # Resize the enhanced image to the required input size
             # input_image = (input_image - 127.5) / 127.5  # Normalize to [-1, +1]