Пример #1
0
def loop_matplotlib(nav, bike, map_model):
    """This function uses adding and removing patches to animate the bike."""
    plt.ion()  # enables interactive plotting
    paths = map_model.paths
    fig = plt.figure()
    ax = plt.axes(**find_display_bounds(map_model.waypoints))
    lc = mc.LineCollection(paths, linewidths=2, color="blue")
    ax.add_collection(lc)
    plt.show()

    # For plotting the bicycle
    axes = plt.gca()

    # Holds past locations of the bike, for plotting
    bike_trajectory = [(bike.xB, bike.yB)]

    # We need to keep this around to clear it after path updates
    path_patch = None

    prev_bike_patch = None
    prev_lookahead_patch = None

    # Main animation loop
    while True:

        if path_patch:
            path_patch.remove()
        path_patch = PathPatch(Path(bike_trajectory), fill=False, linewidth=2)
        axes.add_patch(path_patch)

        # Plot the bike as a wedge pointing in the direction bike.psi
        if prev_bike_patch:
            prev_bike_patch.remove()
        bike_heading = bike.psi * (180 / math.pi)  # Converted to degrees
        wedge_angle = 45  # The angle covered by the wedge
        bike_polygon = Wedge((bike.xB, bike.yB),
                             0.3,
                             bike_heading - wedge_angle / 2 + 180,
                             bike_heading + wedge_angle / 2 + 180,
                             fc="black")
        axes.add_patch(bike_polygon)
        prev_bike_patch = bike_polygon
        plt.show()
        plt.pause(0.00000000000001)

        bike_trajectory.append((bike.xB, bike.yB))

        steerD = nav.get_steering_angle()
        # if new state has new target path then recalculate delta
        bike.update(bikeSim.new_state(bike, steerD))
Пример #2
0
def loop_pyqtgraph(nav, bike, map_model):
    traces = [dict()]

    # Set the background color of all plots to white for legibility
    pg.setConfigOption('background', 'w')

    qt_win = pg.GraphicsWindow(title="Bike Simulator 2017")

    # Stores every item in the "trajectory" plot
    plot_items = [dict()]

    # This ViewBox will hold the bike and trajectory
    viewbox = qt_win.addPlot(col=0, row=0, lockAspect=1.0)
    viewbox.setAspectLocked()
    viewbox.sigResized = viewbox.sigRangeChanged  # Axes need this method
    viewbox.showAxis("bottom", show=True)

    # Make an item for the bike
    bike_polygon = QtGui.QPolygonF()
    for _ in xrange(3):
        bike_polygon.append(QtCore.QPointF(0, 0))
    bikeItem = QtGui.QGraphicsPolygonItem(bike_polygon)
    plot_items[0]["bikeitem"] = bikeItem
    plot_items[0]["bike"] = bike_polygon
    bikeItem.setPen(pg.mkPen(None))
    bikeItem.setBrush(pg.mkBrush('r'))
    viewbox.addItem(bikeItem)

    # Graphics helper
    def setPenWidth(pen, width):
        pen.setWidth(width)
        return pen

    # Make an item for the static (given) path
    paths = map_model.paths
    static_path = QtGui.QPainterPath()
    static_path.moveTo(paths[0][0][0], paths[0][0][1])
    for each_segment in paths:
        static_path.lineTo(*each_segment[1])
    static_path_item = QtGui.QGraphicsPathItem(static_path)
    static_path_item.setPen(setPenWidth(pg.mkPen('g'), 2))
    static_path_item.setBrush(pg.mkBrush(None))
    viewbox.addItem(static_path_item)

    # Make an item for the trajectory
    traj_path = QtGui.QPainterPath()
    traj_path.moveTo(bike.xB, bike.yB)
    plot_items[0]["traj"] = traj_path
    traj_path_item = QtGui.QGraphicsPathItem(traj_path)
    traj_path_item.setPen(setPenWidth(pg.mkPen('b'), 2))
    traj_path_item.setBrush(pg.mkBrush(None))
    plot_items[0]["trajitem"] = traj_path_item
    viewbox.addItem(traj_path_item)

    def traj_update():
        plot_items[0]["traj"].lineTo(bike.xB, bike.yB)
        plot_items[0]["trajitem"].setPath(plot_items[0]["traj"])

    traj_timer = QtCore.QTimer()
    traj_timer.timeout.connect(traj_update)
    traj_timer.start(100)

    # This bit simulates the algo receiving delayed information
    delayed_bike = bikeState.Bike(0, 0, 0, 0, 0, 0, 0)
    nav.map_model.bike = delayed_bike

    def delayed_update():
        delayed_bike.update(bike)

    delayed_timer = QtCore.QTimer()
    delayed_timer.timeout.connect(delayed_update)
    delayed_timer.start(1)

    get_steering_angle = nav.get_steering_angle
    simulation_step = lambda angle: bike.update(bikeSim.new_state(bike, angle))

    def update():
        simulation_step(get_steering_angle())
        x1, y1 = bike.xB, bike.yB
        x2, y2 = bike.xB + 2.0 * math.cos(bike.psi + 13 * math.pi /
                                          12), bike.yB + 2.0 * math.sin(
                                              bike.psi + 13 * math.pi / 12)
        x3, y3 = bike.xB + 2.0 * math.cos(bike.psi + 11 * math.pi /
                                          12), bike.yB + 2.0 * math.sin(
                                              bike.psi + 11 * math.pi / 12)
        #x1, y1, x2, y2, x3, y3 = tuple(int(num) for num in (x1, y1, x2, y2, x3, y3))
        new_polygon = QtGui.QPolygonF()
        for each_point in ((x1, y1), (x2, y2), (x3, y3)):
            new_polygon.append(QtCore.QPointF(*each_point))
        plot_items[0]["bikeitem"].setPolygon(new_polygon)

    anim_timer = QtCore.QTimer()
    anim_timer.timeout.connect(update)
    anim_timer.start(ANIM_INTERVAL)

    QtGui.QApplication.instance().exec_()
Пример #3
0
def loop_matplotlib_blitting(nav,
                             bike,
                             map_model,
                             blitting=True,
                             filename=None):
    """This code uses blitting and callbacks to simulate the
	bike. Because so much of the code is shared, this function, when
	provided with the filename argument, will save video to the
	specified filename instead of displaying the animation in a
	window."""
    figure, axes = plt.figure(), plt.axes(
        **find_display_bounds(map_model.waypoints))

    # Square aspect ratio for the axes
    axes.set_aspect("equal")

    paths = new_map_model.paths

    # Draw the paths
    lc = mc.LineCollection(paths, linewidths=2, color="blue")
    axes.add_collection(lc)

    # Paths won't change, so capture them
    figure.canvas.draw()
    background = [figure.canvas.copy_from_bbox(axes.bbox)]

    # Create bike polygon
    bike_heading = bike.psi * (180 / math.pi)  # heading is psi, but in degrees
    wedge_angle = 45  # The angle covered by the wedge (degrees)
    theta1 = bike_heading - wedge_angle / 2 + 180
    theta2 = bike_heading + wedge_angle / 2 + 180
    bike_polygon = Wedge((bike.xB, bike.yB), 1, theta1, theta2, fc="black")
    bike_polygon.set_zorder(10)
    axes.add_artist(bike_polygon)

    # Create bike trajectory
    bike_trajectory_polygon = axes.plot([0, 0], [0, 0], "g")[0]

    # Set up trajectory data
    bike_traj_x = [bike.xB]  # Just the x-coords
    bike_traj_y = [bike.yB]  # Just the y-coords
    add_traj_x = bike_traj_x.append
    add_traj_y = bike_traj_y.append

    # Create lookahead point
    #lookahead_polygon = Circle((bike.xB, bike.yB), 1)
    #axes.add_artist(lookahead_polygon)

    # Create dropped point
    #dropped_polygon = Circle((bike.xB, bike.yB), 1, fc="red")
    #axes.add_artist(dropped_polygon)

    # Create current line highlight
    #current_line = axes.plot([0, 0], [0, 0], "r")[0]
    #axes.add_artist(current_line)

    # Set up resizing handlers
    listener_id = [None]

    def safe_draw():
        canvas = figure.canvas
        if listener_id[0]: canvas.mpl_disconnect(listener_id[0])
        canvas.draw()
        listener_id[0] = canvas.mpl_connect("draw_event", grab_background)

    def grab_background(event=None):
        #transient_polygons = (bike_polygon, lookahead_polygon, current_line, dropped_polygon)
        transient_polygons = (bike_polygon, )
        for polygon in transient_polygons:
            polygon.set_visible(False)
        safe_draw()
        background[0] = figure.canvas.copy_from_bbox(figure.bbox)
        for polygon in transient_polygons:
            polygon.set_visible(True)
        blit()

    def blit():
        figure.canvas.restore_region(background[0])
        axes.draw_artist(bike_polygon)
        figure.canvas.blit(axes.bbox)

    listener_id[0] = figure.canvas.mpl_connect("draw_event", grab_background)

    # This timer runs simulation steps and draws the results
    figure_restore = figure.canvas.restore_region
    get_steering_angle = nav.get_steering_angle
    simulation_step = lambda angle: bike.update(bikeSim.new_state(bike, angle))
    figure_blit = figure.canvas.blit

    def full_step(data=None):
        figure_restore(background[0])
        simulation_step(get_steering_angle())

        # Update bike polygon properties and redraw it
        wedge_dir = bike.psi * (180 / math.pi) + 180
        bike_pos = (bike.xB, bike.yB)
        bike_polygon.set(center=bike_pos,
                         theta1=wedge_dir - wedge_angle / 2,
                         theta2=wedge_dir + wedge_angle / 2)
        axes.draw_artist(bike_polygon)

        # Update trajectory and redraw it
        add_traj_x(bike.xB)
        add_traj_y(bike.yB)
        bike_trajectory_polygon.set_xdata(bike_traj_x)
        bike_trajectory_polygon.set_ydata(bike_traj_y)
        axes.draw_artist(bike_trajectory_polygon)

        # Update and redraw lookahead point
        #lookahead_polygon.center = nav.lookahead_point
        #axes.draw_artist(lookahead_polygon)

        # Update and redraw dropped point
        #dropped_polygon.center = nav.dropped_point
        #axes.draw_artist(dropped_polygon)

        # Update and redraw highlight for current closest line
        #curr_path_segment = paths[nav.closest_path_index]
        #current_line.set_xdata([curr_path_segment[0][0], curr_path_segment[1][0]])
        #current_line.set_ydata([curr_path_segment[0][1], curr_path_segment[1][1]])
        #axes.draw_artist(current_line)

        # Redraw bike
        figure_blit(axes.bbox)

    # Start the update & refresh timer
    if blitting and not filename:
        figure.canvas.new_timer(interval=ANIM_INTERVAL,
                                callbacks=[(full_step, [], {})]).start()
    else:
        ani = animation.FuncAnimation(figure,
                                      full_step,
                                      frames=xrange(0, 20000))
        if filename:
            writer = animation.writers['ffmpeg'](fps=30)
            ani.save(filename, writer=writer, dpi=100)

    # Display the window with the simulation
    plt.show()
def update_graph(data):
    new_bike.update(bikeSim.new_state(new_bike, data.data))