docs: little update

app.py

@@ -264,6 +264,7 @@ def on_example_click(
     print("Build Canvas by Example!")
     visual_canvas, initial_visual_canvas, inference_canvas, _, _ = build_canvas(input_image, resized_height, resized_width, top_left_height, top_left_width, bottom_right_height, bottom_right_width)
     print("Init visual_canvas shape is", visual_canvas.shape)
+    print("inference_canvas shape is", inference_canvas.shape)
 
 
     # Sequentially load the Trajs of all instances on the canvas
@@ -324,7 +325,8 @@ def build_canvas(input_image_path, resized_height, resized_width, top_left_heigh
     expand_width = resized_width + top_left_width + bottom_right_width
     inference_canvas = np.uint8(np.zeros((expand_height, expand_width, 3)))       # Whole Black Canvas, same as other inference
     visual_canvas = np.full((expand_height, expand_width, 3), canvas_color, dtype=np.uint8)
-    print("Visual Canvas is", visual_canvas.shape)
+    print("Init Visual Canvas shape is", visual_canvas.shape)
+    print("Init Inference Canvs shape is", inference_canvas.shape)
 
 
     # Sanity Check 
@@ -615,6 +617,7 @@ def inference(inference_canvas, visual_canvas, text_prompt, traj_lists, main_ref
 
             
     # Create the traj tensor
+    print("visual_canvas shape is", visual_canvas.shape)
     print("inference_canvas shape is", inference_canvas.shape)
     traj_tensor, traj_imgs_np, _, img_with_traj = VideoDataset_Motion.prepare_traj_tensor(
                                                                                             full_pred_tracks, canvas_height, canvas_width,