forked from Telos4/RoboRally
playing around with different markers and sizes
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@ -38,7 +38,7 @@ class ArucoEstimator:
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self.pipeline = rs.pipeline()
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self.pipeline = rs.pipeline()
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config = rs.config()
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config = rs.config()
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# config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
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# config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
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# config.enable_stream(rs.stream.color, 1920, 1080, rs.format.bgr8, 30)
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#config.enable_stream(rs.stream.color, 1920, 1080, rs.format.bgr8, 30)
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config.enable_stream(rs.stream.color, 1280, 720, rs.format.bgr8, 30)
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config.enable_stream(rs.stream.color, 1280, 720, rs.format.bgr8, 30)
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# config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
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# config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
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@ -107,36 +107,30 @@ class ArucoEstimator:
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gray = cv2.cvtColor(color_image, cv2.COLOR_BGR2GRAY)
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gray = cv2.cvtColor(color_image, cv2.COLOR_BGR2GRAY)
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# aruco_dict = aruco.Dictionary_get(aruco.DICT_5X5_250)
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#aruco_dict = aruco.Dictionary_get(aruco.DICT_APRILTAG_16H5)
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aruco_dict = aruco.Dictionary_get(aruco.DICT_ARUCO_ORIGINAL)
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#aruco_dict = aruco.Dictionary_get(aruco.DICT_7X7_50)
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#aruco_dict = aruco.Dictionary_get(aruco.DICT_4X4_50)
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aruco_dict = aruco.Dictionary_get(aruco.DICT_5X5_1000)
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#aruco_dict = aruco.Dictionary_get(aruco.DICT_ARUCO_ORIGINAL) # fast
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parameters = aruco.DetectorParameters_create()
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parameters = aruco.DetectorParameters_create()
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corners, ids, rejectedImgPoints = aruco.detectMarkers(gray, aruco_dict, parameters=parameters)
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corners, ids, rejectedImgPoints = aruco.detectMarkers(gray, aruco_dict, parameters=parameters)
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frame = aruco.drawDetectedMarkers(color_image.copy(), corners, ids)
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frame = aruco.drawDetectedMarkers(color_image.copy(), corners, ids)
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if ids is not None:
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if ids is not None:
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for id, corner in zip(ids, corners):
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for id, corner in zip(ids, corners):
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if id in self.corner_marker_ids.values():
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marker_size = 0.1
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else:
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marker_size = 0.07
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corner_pixel_coord = np.mean(corner[0], axis=0)
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corner_pixel_coord = np.mean(corner[0], axis=0)
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res = aruco.estimatePoseSingleMarkers(corner, 0.10, self.camera_matrix, self.dist_coeffs)
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# res = aruco.estimatePoseSingleMarkers(corner, marker_size, self.camera_matrix, self.dist_coeffs)
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rvecs = res[0][0][0]
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# rvecs = res[0][0][0]
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tvecs = res[1][0][0]
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# tvecs = res[1][0][0]
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#
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self.update_estimate(id[0], corner_pixel_coord, rvecs, tvecs)
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# self.update_estimate(id[0], corner_pixel_coord, rvecs, tvecs)
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frame = self.draw_grid_lines(frame, corners, ids)
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frame = self.draw_grid_lines(frame, corners, ids)
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frame = self.draw_robot_pos(frame, corners, ids)
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frame = self.draw_robot_pos(frame, corners, ids)
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else:
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# pretent we detected some markers
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pass
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self.update_estimate(0, rvec=np.array([0, 0, 0]), tvec=np.array([-1, 1, 0]))
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self.update_estimate(1, rvec=np.array([0, 0, 0]), tvec=np.array([1, 1.5, 0]))
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self.update_estimate(2, rvec=np.array([0, 0, 0]), tvec=np.array([1, -1.5, 0]))
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self.update_estimate(3, rvec=np.array([0, 0, 0]), tvec=np.array([-1, -1, 0]))
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#import random
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#self.update_estimate(12, rvec=np.array([0.0, 0.0, 0.0]), tvec=np.array([-1.0 + random.random() * 2, -1.0 + random.random() * 2, 0]))
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self.update_estimate(12, rvec=np.array([0.0, 0.0, 0.0]),
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tvec=np.array([1.2, 0.42, 0]))
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self.update_estimate(13, rvec=np.array([0.0, 0.0, 0.0]),
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tvec=np.array([-1.2, -0.42, 0]))
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# Show images
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# Show images
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cv2.imshow('RoboRally', frame)
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cv2.imshow('RoboRally', frame)
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@ -344,6 +338,6 @@ class ArucoEstimator:
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if __name__ == "__main__":
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if __name__ == "__main__":
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estimator = ArucoEstimator()
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estimator = ArucoEstimator(use_realsense=False)
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estimator.run_tracking()
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estimator.run_tracking()
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