Go to the source code of this file.
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| | fit_plane.action |
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| | fit_plane.adjust = args.adjust |
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| | fit_plane.args = parser.parse_args() |
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| | fit_plane.ax = plt.subplot(111, projection='3d') |
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| | fit_plane.C |
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| | fit_plane.color |
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| | fit_plane.D = -C.dot(N) |
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| | fit_plane.default |
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| | fit_plane.errors = distance(points, C, N) |
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| | fit_plane.fixed_points = projection(points, C, N) |
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| | fit_plane.help |
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| list | fit_plane.ids = [] |
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| | fit_plane.lines = file.readlines() |
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| string | fit_plane.map_file = os.environ["HOME"]+"/.ros/slam/map.txt" |
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| | fit_plane.N |
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| list | fit_plane.other = [] |
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| | fit_plane.parser = argparse.ArgumentParser() |
| |
| | fit_plane.parts = line.split() |
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| list | fit_plane.pitch = [] |
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| list | fit_plane.points = [] |
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| | fit_plane.residual = np.linalg.norm(errors) |
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| list | fit_plane.roll = [] |
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| float | fit_plane.slopex = math.atan2(N[0], N[2])*180.0 |
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| float | fit_plane.slopey = math.atan2(N[1], N[2])*180.0 |
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| | fit_plane.type |
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| | fit_plane.X |
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| | fit_plane.xlim = ax.get_xlim() |
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| | fit_plane.xs = points[:,0] |
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| | fit_plane.Y |
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| | fit_plane.ylim = ax.get_ylim() |
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| | fit_plane.ys = points[:,1] |
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| tuple | fit_plane.Z = (-N[0] * X - N[1] * Y - D)/N[2] |
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| | fit_plane.zlim = ax.get_zlim() |
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| | fit_plane.zs = points[:,2] |
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