Update pages/2_Player_Comparison_Throw_Image.py

pages/2_Player_Comparison_Throw_Image.py

@@ -32,9 +32,21 @@ def detect_and_predict_face(image_file, model):
 
     x, y, w, h = faces[0]
     face = gray[y:y+h, x:x+w]
-    resized_face = cv2.resize(face, (64, 64))
+
+    # Get expected input shape from scaler in pipeline
+    expected_features = model.named_steps['scaler'].n_features_in_
+    target_dim = int(np.sqrt(expected_features))  # assumes square input
+
+    try:
+        resized_face = cv2.resize(face, (target_dim, target_dim))
+    except:
+        return None, f"❌ Failed to resize face to {target_dim}x{target_dim}"
+
     flattened = resized_face.flatten().reshape(1, -1)
 
+    if flattened.shape[1] != expected_features:
+        return None, f"❌ Mismatch in feature count. Got {flattened.shape[1]}, expected {expected_features}"
+
     pred_label = model.predict(flattened)[0]
     return pred_label, None
 
@@ -42,7 +54,7 @@ def detect_and_predict_face(image_file, model):
 def get_player_details(df, player_name):
     return df[df['Player'] == player_name].iloc[0]
 
-# Plotting functions (matches, batting, bowling) -- same as your original code
+# Plotting functions
 def plot_matches_pie(player_data):
     matches_stats = {
         'Format': ['Test', 'ODI', 'T20', 'IPL'],