fixed: per axis Euler angles are now correct!
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@@ -4,7 +4,7 @@ import math
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import cv2 as cv
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import numpy as np
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from pathlib import Path
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from ar_tag_pose.utils import to_board_pose_euler
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from ar_tag_pose.utils import to_euler
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import mimetypes
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RESULTS_FOLDER = "results"
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@@ -155,7 +155,7 @@ class BoardPose(abc.ABC):
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success, r_vec, t_vec = self._process(img)
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if success:
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r_vec_obj, _ = to_board_pose_euler(r_vec, t_vec)
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r_vec_obj, _ = to_euler(r_vec, t_vec)
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rot = [round(180.0 / math.pi * v, 1) for v in r_vec_obj]
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print("\r ", end='')
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print(f"\rTilt: {rot[0]:.1f}, Roll: {rot[1]:.1f}, Azimuth: {rot[2]:.1f}", end='')
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@@ -7,7 +7,7 @@ import argparse
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import mimetypes
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import json
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from pathlib import Path
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from ar_tag_pose.utils import to_tf, to_board_pose_euler
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from ar_tag_pose.utils import to_tf, to_euler
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from detector_board import BoardDetector
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from detector_board_aruco import BoardDetectorAruco
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from detector_board_charuco import BoardDetectorCharuco
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@@ -105,8 +105,6 @@ class Detector(abc.ABC):
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out = None
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r_vec = None
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t_vec = None
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tvec_world = None
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rvec_world = None
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while cap.isOpened():
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if self.src_images:
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cap.set(cv.CAP_PROP_POS_FRAMES, frame_num)
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@@ -156,11 +154,7 @@ class Detector(abc.ABC):
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for det in self.detector:
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success, r_vec, t_vec = det.process(img)
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if success:
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if rvec_world is not None:
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rot_e = to_board_pose_euler(to_tf(rvec_world, tvec_world), to_tf(r_vec, t_vec))
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else:
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rot_e = to_board_pose_euler(to_tf(r_vec, t_vec))
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rot_e = to_euler(to_tf(r_vec, t_vec))
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rot = [round(180.0 / math.pi * v, 1) for v in rot_e]
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cv.putText(img, f"{det}: Tilt: {rot[0]:.1f}, Roll: {rot[1]:.1f}, Azimuth: {rot[2]:.1f}",
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(30, y_pos), cv.FONT_HERSHEY_SIMPLEX, 0.75, (0, 255, 0), 2)
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@@ -1,8 +1,6 @@
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import numpy as np
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import cv2 as cv
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import math
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import vg
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from scipy.spatial.transform import RigidTransform as Tf
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from scipy.spatial.transform import Rotation as R
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def rotation_matrix_to_euler_angles(R: np.ndarray) -> np.ndarray:
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@@ -27,15 +25,20 @@ def to_tf(r_vec: np.ndarray, t_vec: np.ndarray) -> np.ndarray:
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r_mat = np.vstack((r_mat, np.array([0, 0, 0, 1])))
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return r_mat
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def to_board_pose_euler(t1: np.ndarray, t2: np.ndarray | None = None) -> np.ndarray:
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def to_euler(t1: np.ndarray, t2: np.ndarray | None = None, euler_axis: str= "XYZ") -> np.ndarray:
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# Transform t2 to t1 coordinate system
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if t2 is None:
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tf = np.linalg.inv(t1)
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else:
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tf = np.linalg.inv(t1)*t2
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res = np.array([0,0,0], dtype=np.float64)
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# res = rotation_matrix_to_euler_angles(tf)
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cv.Rodrigues(tf[0:3, 0:3], res)
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# Get new r_vec from Rmat = tf[0:3, 0:3]
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r_vec = np.array([0,0,0], dtype=np.float64)
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cv.Rodrigues(tf[0:3, 0:3], r_vec)
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# Convert to euler angles
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r = R.from_rotvec(r_vec)
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res = R.as_euler(r, euler_axis)
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return res
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