fix emd borders

app.py

@@ -34,7 +34,7 @@ classifier_predictions = {}
 selected_dataset = "Final"
 
 root_visualization_dir = "./visualizations/"
-viz_url = "https://static.taesiri.com/xai/Final.zip"
+viz_url = "https://static.taesiri.com/xai/Final-Task1.zip"
 viz_archivefile = "Final.zip"
 
 demonstration_url = "https://static.taesiri.com/xai/demonstrations.zip"
@@ -175,7 +175,7 @@ def render_experiment(query):
 def render_results():
     user_correct_guess = 0
     for q in session_state.user_feedback.keys():
-        uf = True if session_state.user_feedback[q] == 'Correct' else False
+        uf = True if session_state.user_feedback[q] == "Correct" else False
         if session_state.is_classifier_correct[q] == uf:
             user_correct_guess += 1
 

image_utils.py

@@ -26,7 +26,7 @@ def load_query(image_path):
 
     # Crop the center of the image
     cropped_image = image.crop(
-        (left + 75, top + 145, right - 2025, bottom - 2915)
+        (left + 75, top + 145, right - 2025, bottom - (2915 + 25 + 10))
     ).resize((300, 300))
 
     return cropped_image
@@ -47,7 +47,9 @@ def load_chm_nns(image_path):
     bottom = (height + new_height) / 2
 
     # Crop the center of the image
-    cropped_image = image.crop((left + 475, top + 140, right - 280, bottom - 2920))
+    cropped_image = image.crop(
+        (left + 475, top + 140, right - 280, bottom - (2920 + 25 + 10))
+    )
     return cropped_image
 
 
@@ -65,7 +67,9 @@ def load_chm_corrs(image_path):
     bottom = (height + new_height) / 2
 
     # Crop the center of the image
-    cropped_image = image.crop((left + 475, top + 875, right - 280, bottom - 1810))
+    cropped_image = image.crop(
+        (left + 475, top + 875, right - 280, bottom - (1810 + 25 + 10))
+    )
     return cropped_image
 
 
@@ -86,7 +90,9 @@ def load_knn_nns(image_path):
     bottom = (height + new_height) / 2
 
     # Crop the center of the image
-    cropped_image = image.crop((left + 475, top + 510, right - 280, bottom - 2550))
+    cropped_image = image.crop(
+        (left + 475, top + 510, right - 280, bottom - (2550 + 25 + 10))
+    )
     return cropped_image
 
 
@@ -107,7 +113,9 @@ def load_emd_nns(image_path):
     bottom = (height + new_height) / 2
 
     # Crop the center of the image
-    cropped_image = image.crop((left + 10, top + 2075, right - 420, bottom - 925))
+    cropped_image = image.crop(
+        (left + 10, top + 2075, right - 420, bottom - (925 + 25 + 10))
+    )
     return cropped_image