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@@ -91,7 +91,7 @@ def visualization(initparams):
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ax = plt.subplot(111, projection='3d')
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#ax.view_init(elev=0.+ 0.03*initparams.ind/(2*np.pi), azim=90 + 0.03*initparams.ind/(2*np.pi))
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#ax.view_init(elev=0., azim=90.)
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ax.view_init(elev=8., azim=120.)
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ax.view_init(elev=90., azim=0.)
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#ax.view_init(elev=-8., azim=180)
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ax.clear()
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# drawing objects
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@@ -107,68 +107,49 @@ def visualization(initparams):
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ax.plot(start[0:1], start[1:2], start[2:], 'go', markersize=7, markeredgecolor='k')
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ax.plot(goal[0:1], goal[1:2], goal[2:], 'ro', markersize=7, markeredgecolor='k')
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# adjust the aspect ratio
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xmin, xmax = initparams.env.boundary[0], initparams.env.boundary[3]
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ymin, ymax = initparams.env.boundary[1], initparams.env.boundary[4]
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zmin, zmax = initparams.env.boundary[2], initparams.env.boundary[5]
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dx, dy, dz = xmax-xmin, ymax-ymin, zmax-zmin
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ax.get_proj = make_get_proj(ax,1*dx, 1*dy, 2*dy)
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plt.xlabel('s')
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plt.ylabel('y')
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set_axes_equal(ax)
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make_transparent(ax)
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# plt.xlabel('s')
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# plt.ylabel('y')
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plt.pause(0.0001)
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def make_get_proj(self, rx, ry, rz):
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'''
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Return a variation on :func:`~mpl_toolkit.mplot2d.axes3d.Axes3D.getproj` that
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makes the box aspect ratio equal to *rx:ry:rz*, using an axes object *self*.
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def set_axes_equal(ax):
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'''Make axes of 3D plot have equal scale so that spheres appear as spheres,
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cubes as cubes, etc.. This is one possible solution to Matplotlib's
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ax.set_aspect('equal') and ax.axis('equal') not working for 3D.
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https://stackoverflow.com/questions/13685386/matplotlib-equal-unit-length-with-equal-aspect-ratio-z-axis-is-not-equal-to
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Input
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ax: a matplotlib axis, e.g., as output from plt.gca().
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'''
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rm = max(rx, ry, rz)
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kx = rm / rx; ky = rm / ry; kz = rm / rz
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x_limits = ax.get_xlim3d()
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y_limits = ax.get_ylim3d()
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z_limits = ax.get_zlim3d()
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# Copied directly from mpl_toolkit/mplot3d/axes3d.py. New or modified lines are
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# marked by ##
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def get_proj():
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relev, razim = np.pi * self.elev/180, np.pi * self.azim/180
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x_range = abs(x_limits[1] - x_limits[0])
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x_middle = np.mean(x_limits)
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y_range = abs(y_limits[1] - y_limits[0])
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y_middle = np.mean(y_limits)
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z_range = abs(z_limits[1] - z_limits[0])
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z_middle = np.mean(z_limits)
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xmin, xmax = self.get_xlim3d()
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ymin, ymax = self.get_ylim3d()
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zmin, zmax = self.get_zlim3d()
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# The plot bounding box is a sphere in the sense of the infinity
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# norm, hence I call half the max range the plot radius.
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plot_radius = 0.5*max([x_range, y_range, z_range])
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# transform to uniform world coordinates 0-1.0,0-1.0,0-1.0
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worldM = proj3d.world_transformation(xmin, xmax,
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ymin, ymax,
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zmin, zmax)
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ratio = 0.5
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# adjust the aspect ratio ##
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aspectM = proj3d.world_transformation(-kx + 1, kx, ##
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-ky + 1, ky, ##
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-kz + 1, kz) ##
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ax.set_xlim3d([x_middle - plot_radius, x_middle + plot_radius])
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ax.set_ylim3d([y_middle - plot_radius, y_middle + plot_radius])
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ax.set_zlim3d([z_middle - plot_radius, z_middle + plot_radius])
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# look into the middle of the new coordinates
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R = np.array([0.5, 0.5, 0.5])
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xp = R[0] + np.cos(razim) * np.cos(relev) * self.dist *ratio
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yp = R[1] + np.sin(razim) * np.cos(relev) * self.dist *ratio
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zp = R[2] + np.sin(relev) * self.dist *ratio
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E = np.array((xp, yp, zp))
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self.eye = E
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self.vvec = R - E
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self.vvec = self.vvec / np.linalg.norm(self.vvec)
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if abs(relev) > np.pi/2:
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# upside down
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V = np.array((0, 0, -1))
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else:
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V = np.array((0, 0, 1))
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zfront, zback = -self.dist *ratio, self.dist *ratio
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viewM = proj3d.view_transformation(E, R, V)
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perspM = proj3d.persp_transformation(zfront, zback)
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M0 = np.dot(viewM, np.dot(aspectM, worldM)) ##
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M = np.dot(perspM, M0)
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return M
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return get_proj
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def make_transparent(ax):
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# make the panes transparent
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ax.xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
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ax.yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
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ax.zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
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# make the grid lines transparent
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ax.xaxis._axinfo["grid"]['color'] = (1,1,1,0)
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ax.yaxis._axinfo["grid"]['color'] = (1,1,1,0)
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ax.zaxis._axinfo["grid"]['color'] = (1,1,1,0)
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if __name__ == '__main__':
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pass
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