diff --git a/py/crop_by_mask.py b/py/crop_by_mask.py
index 4fa89fa..b1d01cb 100644
--- a/py/crop_by_mask.py
+++ b/py/crop_by_mask.py
@@ -65,6 +65,9 @@ class CropByMask:
             (x, y, width, height) = max_inscribed_rect(bluredmask)
         else:
             (x, y, width, height) = mask_area(_mask)
+
+        width = num_round_to_multiple(width, 8)
+        height = num_round_to_multiple(height, 8)
         log(f"{NODE_NAME}: Box detected. x={x},y={y},width={width},height={height}")
         canvas_width, canvas_height = tensor2pil(torch.unsqueeze(image[0], 0)).convert('RGB').size
         x1 = x - left_reserve if x - left_reserve > 0 else 0
diff --git a/py/crop_by_mask_v2.py b/py/crop_by_mask_v2.py
index d56a697..707a441 100644
--- a/py/crop_by_mask_v2.py
+++ b/py/crop_by_mask_v2.py
@@ -69,6 +69,10 @@ class CropByMaskV2:
                 (x, y, width, height) = max_inscribed_rect(bluredmask)
             else:
                 (x, y, width, height) = mask_area(_mask)
+
+            width = num_round_to_multiple(width, 8)
+            height = num_round_to_multiple(height, 8)
+
             log(f"{NODE_NAME}: Box detected. x={x},y={y},width={width},height={height}")
             canvas_width, canvas_height = tensor2pil(torch.unsqueeze(image[0], 0)).convert('RGB').size
             x1 = x - left_reserve if x - left_reserve > 0 else 0