fixed setting of focal pixel distance

app.py

@@ -116,13 +116,25 @@ def generate_3d_model(depth, image_path, focallength_px):
 def predict_depth(input_image):
     temp_file = None
     try:
+        print(f"Input image type: {type(input_image)}")
+        print(f"Input image path: {input_image}")
+        
         # Resize the input image to a manageable size
         temp_file = resize_image(input_image)
+        print(f"Resized image path: {temp_file}")
         
         # Preprocess the image for depth prediction
         result = depth_pro.load_rgb(temp_file)
-        image = result[0]
-        f_px = result[-1]  # Focal length in pixels
+        
+        # Add error checking for the result tuple
+        if len(result) < 2:
+            raise ValueError(f"Unexpected result from load_rgb: {result}")
+        
+        image = result[0]  # Unpack the result tuple correctly
+        f_px = result[-1]  # Extract focal length
+        
+        print(f"Extracted focal length: {f_px}")
+        
         image = transform(image)  # Apply preprocessing transforms
         image = image.to(device)  # Move the image tensor to the selected device
 
@@ -183,7 +195,10 @@ def predict_depth(input_image):
         return output_path, f"Focal length: {focallength_px:.2f} pixels", raw_depth_path, view_model_path, download_model_path
     except Exception as e:
         # Return error messages in case of failures
-        return None, f"An error occurred: {str(e)}", None, None, None
+        import traceback
+        error_message = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
+        print(error_message)  # Print the full error message to the console
+        return None, error_message, None, None, None
     finally:
         # Clean up by removing the temporary resized image file
         if temp_file and os.path.exists(temp_file):