diff --git a/ar_tag_pose/detector_board_main.py b/ar_tag_pose/detector_board_main.py
index 89aeb71..07ad452 100644
--- a/ar_tag_pose/detector_board_main.py
+++ b/ar_tag_pose/detector_board_main.py
@@ -161,8 +161,7 @@ class Detector(abc.ABC):
 			for det in self.detector:
 				success, r_vec, t_vec = det.process(img)
 				if success:
-					rot_e = to_euler(to_tf(r_vec, t_vec), axis_order="XYZ")
-					rot = [round(180.0 / math.pi * v, 1) for v in rot_e]
+					rot = to_euler(to_tf(r_vec, t_vec), axis_order="ZXY")
 					self.print_angle(img, str(det), rot, (30, y_pos))
 					y_pos += 30
 
diff --git a/ar_tag_pose/utils.py b/ar_tag_pose/utils.py
index 266d9be..459e15c 100644
--- a/ar_tag_pose/utils.py
+++ b/ar_tag_pose/utils.py
@@ -25,7 +25,7 @@ def to_tf(r_vec: np.ndarray, t_vec: np.ndarray) -> np.ndarray:
 	r_mat = np.vstack((r_mat, np.array([0, 0, 0, 1])))
 	return r_mat
 
-def to_euler(t1: np.ndarray, t2: np.ndarray | None = None, axis_order: str= "XYZ") -> np.ndarray:
+def to_euler(t1: np.ndarray, t2: np.ndarray | None = None, axis_order: str= "XYZ", unit_is_degree: bool=True) -> np.ndarray:
 	# Transform t2 to t1 coordinate system
 	if t2 is None:
 		tf = np.linalg.inv(t1)
@@ -38,7 +38,7 @@ def to_euler(t1: np.ndarray, t2: np.ndarray | None = None, axis_order: str= "XYZ
 
 	# Convert to euler angles
 	r = R.from_rotvec(r_vec)
-	res = R.as_euler(r, axis_order)
+	res = R.as_euler(r, axis_order, degrees=unit_is_degree)
 
 	return res