Update app.py

app.py

@@ -452,8 +452,9 @@ def predict(
     # Apply sharpness enhancement.
     if isinstance(image, np.ndarray):
         pil_image = Image.fromarray(image)
-        enhanced_image = ImageEnhance.Sharpness(pil_image).enhance(2)
-        image = np.array(enhanced_image)
+        enhanced_image = ImageEnhance.Sharpness(pil_image).enhance(1)
+        ei = ImageEnhance.Contrast(image).enhance(1.5)
+        image = np.array(ei)
 
     # ---------------------
     # 1) Detect the drawer with YOLOWorld
@@ -529,7 +530,7 @@ def predict(
             boundary_width_in = boundary_width
 
         # Basic check so user doesn't request an impossible boundary
-        if boundary_length_in > (image_height_in - 0.5) or boundary_width_in > (image_width_in - 0.5):
+        if boundary_length_in > (image_height_in - 1) or boundary_width_in > (image_width_in - 1):
             raise BoundaryExceedsError(
                 "Error: The specified boundary dimensions exceed the allowed image dimensions. Please enter smaller values."
             )