Exemple #1
0
    def __init__(self,
                 fig,
                 gs,
                 cropsize=None,
                 rostopic=None,
                 show_overlay_buttons=False):
        """
        If rostopic is given to this constructor, then the image visualizer will 
        automatically update with rostopic image. Else, the update method must 
        be manually called to supply images.
        """
        # Real-time image
        self._t = 0
        self._data = []
        self._crop_size = cropsize

        # Image overlay
        self._initial_image_overlay_on = False
        self._target_image_overlay_on = False
        self._initial_image = None
        self._initial_alpha = None
        self._target_image = None
        self._target_alpha = None
        self._default_image = np.zeros((1, 1, 3))
        self._default_alpha = 0.0

        # Actions
        actions_arr = [
            Action('oii',
                   'overlay_initial_image',
                   self.toggle_initial_image_overlay,
                   axis_pos=0),
            Action('oti',
                   'overlay_target_image',
                   self.toggle_target_image_overlay,
                   axis_pos=1),
        ]

        # GUI Components
        self._fig = fig
        self._gs = gridspec.GridSpecFromSubplotSpec(8, 1, subplot_spec=gs)
        self._gs_action_panel = self._gs[0:1, 0]
        self._gs_image_axis = self._gs[1:8, 0]

        if show_overlay_buttons:
            self._action_panel = ActionPanel(self._fig, self._gs_action_panel,
                                             1, 2, actions_arr)

        self._ax_image = plt.subplot(self._gs_image_axis)
        self._ax_image.set_axis_off()
        self._plot = self._ax_image.imshow(self._default_image)
        self._overlay_plot_initial = self._ax_image.imshow(
            self._default_image, alpha=self._default_alpha)
        self._overlay_plot_target = self._ax_image.imshow(
            self._default_image, alpha=self._default_alpha)

        self._fig.canvas.draw()
        self._fig.canvas.flush_events()  # Fixes bug with Qt4Agg backend

        # ROS subscriber for PS3 controller
        if rostopic and ROS_ENABLED:
            rospy.Subscriber(rostopic,
                             Image,
                             self.update_ros,
                             queue_size=1,
                             buff_size=2**24)
    demo_thread = threading.Thread(target=demo_func)
    demo_thread.daemon = True
    demo_thread.start()

# Initialize Figure
fig = plt.figure()
gs = gridspec.GridSpec(2, 3)

# Action Panel
number = 0
def plus_1(event=None): global number; number += 1; print(number)
def plus_2(event=None): global number; number += 2; print(number)
def mult_4(event=None): global number; number *= 4; print(number)

actions_arr = [
    Action('plus1', 'plus1', plus_1, axis_pos=0, keyboard_binding='1', ps3_binding=None),
    Action('plus2', 'plus2', plus_2, axis_pos=1, keyboard_binding='2', ps3_binding=None),
    Action('print', 'print', mult_4, axis_pos=2, keyboard_binding='4', ps3_binding=None),
]
action_panel = ActionPanel(fig, gs[0], 3, 1, actions_arr)

# Textbox
def demo_textbox():
    max_i = 20
    for i in range(max_i):
        textbox.append_text(str(i))
        c = 0.5 + 0.5*i/max_i
        textbox.set_bgcolor((c, c, c))
        time.sleep(1)

textbox = Textbox(fig, gs[1], max_display_size=10, log_filename=None)
Exemple #3
0
    def __init__(self, hyperparams):
        self._hyperparams = hyperparams
        self._log_filename = self._hyperparams['log_filename']
        if 'target_filename' in self._hyperparams:
            self._target_filename = self._hyperparams['target_filename']
        else:
            self._target_filename = None

        # GPS Training Status.
        self.mode = config[
            'initial_mode']  # Modes: run, wait, end, request, process.
        self.request = None  # Requests: stop, reset, go, fail, None.
        self.err_msg = None
        self._colors = {
            'run': 'cyan',
            'wait': 'orange',
            'end': 'red',
            'stop': 'red',
            'reset': 'yellow',
            'go': 'green',
            'fail': 'magenta',
        }
        self._first_update = True

        # Actions.
        actions_arr = [
            Action('stop', 'stop', self.request_stop, axis_pos=0),
            Action('reset', 'reset', self.request_reset, axis_pos=1),
            Action('go', 'go', self.request_go, axis_pos=2),
            Action('fail', 'fail', self.request_fail, axis_pos=3),
        ]

        # Setup figure.
        plt.ion()
        plt.rcParams['toolbar'] = 'None'
        for key in plt.rcParams:
            if key.startswith('keymap.'):
                plt.rcParams[key] = ''

        self._fig = plt.figure(figsize=config['figsize'])
        self._fig.subplots_adjust(left=0.01,
                                  bottom=0.01,
                                  right=0.99,
                                  top=0.99,
                                  wspace=0,
                                  hspace=0)

        # Assign GUI component locations.
        self._gs = gridspec.GridSpec(16, 8)
        self._gs_action_panel = self._gs[0:2, 0:8]
        self._gs_action_output = self._gs[2:3, 0:4]
        self._gs_status_output = self._gs[3:4, 0:4]
        self._gs_cost_plotter = self._gs[2:4, 4:8]
        self._gs_algthm_output = self._gs[4:8, 0:8]
        if config['image_on']:
            self._gs_traj_visualizer = self._gs[8:16, 0:4]
            self._gs_image_visualizer = self._gs[8:16, 4:8]
        else:
            self._gs_traj_visualizer = self._gs[8:16, 0:8]

        # Create GUI components.
        self._action_panel = ActionPanel(self._fig, self._gs_action_panel, 1,
                                         4, actions_arr)
        self._action_output = Textbox(self._fig,
                                      self._gs_action_output,
                                      border_on=True)
        self._status_output = Textbox(self._fig,
                                      self._gs_status_output,
                                      border_on=False)
        self._algthm_output = Textbox(
            self._fig,
            self._gs_algthm_output,
            max_display_size=config['algthm_output_max_display_size'],
            log_filename=self._log_filename,
            fontsize=config['algthm_output_fontsize'],
            font_family='monospace')
        self._cost_plotter = MeanPlotter(self._fig,
                                         self._gs_cost_plotter,
                                         color='blue',
                                         label='mean cost',
                                         min_itr=self._hyperparams.get(
                                             'iterations', 10))

        self._traj_visualizer = Plotter3D(
            self._fig,
            self._gs_traj_visualizer,
            num_plots=self._hyperparams['conditions'])
        if config['image_on']:
            self._image_visualizer = ImageVisualizer(
                self._fig,
                self._gs_image_visualizer,
                cropsize=config['image_size'],
                rostopic=config['image_topic'],
                show_overlay_buttons=True)

        # Setup GUI components.
        self._algthm_output.log_text('\n')
        self.set_output_text(self._hyperparams['info'])
        if config['initial_mode'] == 'run':
            self.run_mode()
        else:
            self.wait_mode()

        # Setup 3D Trajectory Visualizer plot titles and legends
        for m in range(self._hyperparams['conditions']):
            self._traj_visualizer.set_title(m, 'Condition %d' % (m))
        self._traj_visualizer.add_legend(linestyle='-',
                                         marker='None',
                                         color='green',
                                         label='Trajectory Samples')
        self._traj_visualizer.add_legend(linestyle='-',
                                         marker='None',
                                         color='blue',
                                         label='Policy Samples')
        self._traj_visualizer.add_legend(linestyle='None',
                                         marker='x',
                                         color=(0.5, 0, 0),
                                         label='LG Controller Means')
        self._traj_visualizer.add_legend(linestyle='-',
                                         marker='None',
                                         color='red',
                                         label='LG Controller Distributions')

        self._fig.canvas.draw()

        # Display calculating thread
        def display_calculating(delay, run_event):
            while True:
                if not run_event.is_set():
                    run_event.wait()
                if run_event.is_set():
                    self.set_status_text('Calculating.')
                    time.sleep(delay)
                if run_event.is_set():
                    self.set_status_text('Calculating..')
                    time.sleep(delay)
                if run_event.is_set():
                    self.set_status_text('Calculating...')
                    time.sleep(delay)

        self._calculating_run = threading.Event()
        self._calculating_thread = threading.Thread(
            target=display_calculating, args=(1, self._calculating_run))
        self._calculating_thread.daemon = True
        self._calculating_thread.start()