Add debug print

app.py

@@ -5,6 +5,7 @@ import numpy as np
 import torch
 from mobile_sam import SamAutomaticMaskGenerator, SamPredictor, sam_model_registry
 from PIL import ImageDraw
+
 from utils.tools import box_prompt, format_results, point_prompt
 from utils.tools_gradio import fast_process
 
@@ -111,6 +112,8 @@ def segment_with_points(
     global global_points
     global global_point_label
 
+    print("Original Image : ", image.size)
+
     input_size = int(input_size)
     w, h = image.size
     scale = input_size / max(w, h)
@@ -118,18 +121,21 @@ def segment_with_points(
     new_h = int(h * scale)
     image = image.resize((new_w, new_h))
 
+    print("Scaled Image : ", image.size)
+    print("Scale : ", scale)
+
     scaled_points = np.array(
         [[int(x * scale) for x in point] for point in global_points]
     )
     scaled_point_label = np.array(global_point_label)
 
+    print(scaled_points, scaled_points is not None)
+    print(scaled_point_label, scaled_point_label is not None)
+
     if scaled_points.size == 0 and scaled_point_label.size == 0:
         print("No points selected")
         return image, image
 
-    print(scaled_points, scaled_points is not None)
-    print(scaled_point_label, scaled_point_label is not None)
-
     nd_image = np.array(image)
     predictor.set_image(nd_image)
     masks, scores, logits = predictor.predict(