PNP for Pose almost works - errors
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@ -62,7 +62,7 @@ FPS = 0
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# 2023 Field Apriltag Coordinates index = tag id
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# format = [id, x, y, z, z-rotation] in inches
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tag_coords = [[0, 69.0, 420.0, 69.0, 0.0], [1, 610.77, 42.19, 18.22, 180], [2, 610.77, 108.19, 18.22, 180], [3, 610.77, 174.19, 18.22, 180],
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tag_coords = [[0, 0.0, 0.0, 0.0, 0.0], [1, 610.77, 42.19, 18.22, 180], [2, 610.77, 108.19, 18.22, 180], [3, 610.77, 174.19, 18.22, 180],
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[4, 636.96, 265.74, 27.38, 180], [5, 14.25, 265.74, 27.38, 0], [6, 40.45, 174.19, 18.22, 0], [7, 40.45, 108.19, 18.22, 0],
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[8, 40.45, 42.19, 18.22, 0]]
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@ -21,6 +21,8 @@ class PNPPose:
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else:
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PNP_obj_input = np.stack([PNP_obj_input, np.array([tag_corners[tags_detected[i]][1], tag_corners[tags_detected[i]][2], tag_corners[tags_detected[i]][3], tag_corners[tags_detected[i]][4]])])
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print("PNP_obj_input: ", PNP_obj_input, ", image_corners: ", image_corners)
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image_corners = image_corners.astype("float")
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print("PNP_obj_input: ", PNP_obj_input, ", image_corners: ", image_corners, "tags_detected: ", tags_detected)
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ret, rvecs, tvecs = cv2.solvePnP(PNP_obj_input, image_corners, self.camera_matrix, self.dist, flags=0)
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print(tvecs,"poop")
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@ -45,14 +45,7 @@ def tag_corners(tag_coords):
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return corners
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field_tag_coords = tag_corners(tag_coords)
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robo_space_pose = [0, 0, 0, 0, 0, 0]
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pose_estimator = PNPPose(field_tag_coords, robo_space_pose, camera_matrix, dist)
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pose_estimator.calculate_coords( np.array([[ 65.75, 420., 72.25],
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[ 72.25, 420., 72.25],
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[ 72.25, 420., 65.75],
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[ 65.75, 420., 65.75]]), np.array([[398.38015747, 154.20915222],
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[260.04067993, 150.67947388],
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[212.12528992 , 77.55628204],
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[387.06124878, 77.81692505]]))
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pose_estimator.calculate_coords(np.array([[341.3, 157.0], [220.99, 152.41], [140.93 , 83.28], [284.02, 81.93]]), np.array([0]))
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