def _start_timer(self):
"""Called when the user selects "Start Timer" from the menu."""
if self.my_timer is None:
# First call, so create a Timer. It starts automatically.
self.my_timer = Timer(500, self._timer_task)
else:
self.my_timer.Start()
def __init__(self):
self.data = ArrayPlotData()
self.set_empty_data()
self.plot = Plot(self.data, padding=10)
scatter = self.plot.plot(("x","y", "c"), type="cmap_scatter",
marker_size=1, color_mapper=make_color_map(), line_width=0)[0]
self.plot.x_grid.visible = False
self.plot.y_grid.visible = False
self.plot.x_axis.visible = False
self.plot.y_axis.visible = False
self.tool = TrianglesTool(self.plot)
self.plot.overlays.append(self.tool)
try:
with file("ifs_chaco.data","rb") as f:
tmp = pickle.load(f)
self.ifs_names = [x[0] for x in tmp]
self.ifs_points = [np.array(x[1]) for x in tmp]
if len(self.ifs_names) > 0:
self.current_name = self.ifs_names[-1]
except:
pass
self.tool.on_trait_change(self.triangle_changed, 'changed')
self.timer = Timer(10, self.ifs_calculate)
def __init__(self, **traits):
super(HistDemo, self).__init__(**traits)
img = cv.imread("lena.jpg")
gray_img = cv.Mat()
cv.cvtColor(img, gray_img, cv.CV_BGR2GRAY)
self.img = gray_img
self.img2 = self.img.clone()
result = cv.MatND()
r = cv.vector_float32([0, 256])
ranges = cv.vector_vector_float32([r, r])
cv.calcHist(cv.vector_Mat([self.img]),
channels=cv.vector_int([0, 1]),
mask=cv.Mat(),
hist=result,
histSize=cv.vector_int([256]),
ranges=ranges)
data = ArrayPlotData(x=np.arange(0, len(result[:])), y=result[:])
self.plot = Plot(data, padding=10)
line = self.plot.plot(("x", "y"))[0]
self.select_tool = RangeSelection(line, left_button_selects=True)
line.tools.append(self.select_tool)
self.select_tool.on_trait_change(self._selection_changed, "selection")
line.overlays.append(RangeSelectionOverlay(component=line))
cv.imshow("Hist Demo", self.img)
self.timer = Timer(50, self.on_timer)
def __call__(self, step=0):
"""Get the file source."""
if self.source is None:
self.source = self.create_source()
if self.watch:
self.timer = Timer(1000, self.poll_file)
return self.source
class MainWindow(ApplicationWindow):
""" The main application window. """
# The pyface Timer.
my_timer = Any()
# Count each time the timer task executes.
counter = Int
def __init__(self, **traits):
""" Creates a new application window. """
# Base class constructor.
super(MainWindow, self).__init__(**traits)
# Add a menu bar.
self.menu_bar_manager = MenuBarManager(
MenuManager(
Action(name='Start Timer', on_perform=self._start_timer),
Action(name='Stop Timer', on_perform=self._stop_timer),
Action(name='E&xit', on_perform=self.close),
name='&File',
))
return
def _start_timer(self):
"""Called when the user selects "Start Timer" from the menu."""
if self.my_timer is None:
# First call, so create a Timer. It starts automatically.
self.my_timer = Timer(500, self._timer_task)
else:
self.my_timer.Start()
def _stop_timer(self):
"""Called when the user selecte "Stop Timer" from the menu."""
if self.my_timer is not None:
self.my_timer.Stop()
def _timer_task(self):
"""The method run periodically by the timer."""
self.counter += 1
print "counter = %d" % self.counter
def __init__(self, **traits):
super(Demo, self).__init__(**traits)
self.plot = self._create_plot_component()
self.queue = Queue()
self.finish_event = threading.Event()
self.thread = threading.Thread(target=self.get_audio_data)
self.thread.start()
self.timer = Timer(10, self.on_timer)
def __init__(self, options, **kwtraits):
super(FiberView, self).__init__(**kwtraits)
self.model = FiberModel(options)
# debugging
self.debug = options.debug
self.model.debug = options.debug
# timing parameters
self.max_packets = options.max_packets
self.hertz = options.hertz
# extend options to model
self.model.max_packets = options.max_packets
self.model.preallocate_arrays()
self.model.num_analog_channels = options.num_analog_channels
# generate traits plot
self.plot_data = ArrayPlotData(x=self.model._tdata,
y=self.model._ydata)
self.plot = Plot(self.plot_data)
renderer = self.plot.plot(("x", "y"),
type="line",
name='old',
color="green")[0]
# self.plot.delplot('old')
# recording flags
self.model.recording = False
self.model.trialEnded = True
print 'Viewer initialized.'
# should we wait for a ttl input to start?
if options.ttl_start:
self.model.ttl_start = True
self.ttl_received = False
# initialize FIO0 for TTL input
self.FIO0_DIR_REGISTER = 6100
self.FIO0_STATE_REGISTER = 6000
self.model.labjack.writeRegister(self.FIO0_DIR_REGISTER,
0) # Set FIO0 low
# initialize output array
self.out_arr = None
# keep track of number of runs
self.run_number = 0
self.timer = Timer(self.model.dt,
self.time_update) # update every 1 ms
def init_gui_component(self):
self.ifs_triangle = IFSTriangles(self.ax)
self.figure.canvas.draw()
try:
with file("ifs_matplotlib.data","rb") as f:
tmp = pickle.load(f)
self.ifs_names = [x[0] for x in tmp]
self.ifs_points = [np.array(x[1]) for x in tmp]
if len(self.ifs_names) > 0:
self.current_name = self.ifs_names[-1]
except:
pass
self.timer = Timer(10, self.ifs_calculate)
def __init__(self):
#读入图像
img = cv.imread("lena_full.jpg")
img2 = cv.Mat()
cv.cvtColor(img, img2, cv.CV_BGR2GRAY)
img = cv.Mat()
cv.resize(img2, img, cv.Size(N, N))
self.fimg = fft.fft2(img[:]) # 图像的频域信号
mag_img = np.log10(np.abs(self.fimg))
# 创建计算用图像
filtered_img = np.zeros((N, N), dtype=np.float)
self.mask = np.zeros((N, N), dtype=np.float)
self.mask_img = cv.asMat(self.mask) # 在self.mask上绘制多边形用的图像
# 创建数据源
self.data = ArrayPlotData(mag_img=fft.fftshift(mag_img),
filtered_img=filtered_img,
mask_img=self.mask)
# 创建三个图像绘制框以及容器
meg_plot, img = self.make_image_plot("mag_img")
mask_plot, _ = self.make_image_plot("mask_img")
filtered_plot, _ = self.make_image_plot("filtered_img")
self.plot = HPlotContainer(meg_plot, mask_plot, filtered_plot)
# 创建套索工具
lasso_selection = LassoSelection(component=img)
lasso_overlay = LassoOverlay(lasso_selection=lasso_selection,
component=img,
selection_alpha=0.3)
img.tools.append(lasso_selection)
img.overlays.append(lasso_overlay)
self.lasso_selection = lasso_selection
# 监听套索工具的事件、开启时钟事件
lasso_selection.on_trait_change(self.lasso_updated,
"disjoint_selections")
self.timer = Timer(50, self.on_timer)
def main():
def sys_var(name):
return os.popen("echo $"+name).readline()[:-1]
# Change this to suit your needs. Edit the file after running this
# script and the pipeline should be updated automatically.
tmpdir="seatree." + sys_var("USER") + "." #+ sys_var("$")
fulltmpdir = fnmatch.filter(os.listdir('/tmp/.'),tmpdir+"*")
tmpdirpath = os.sep+"tmp"+os.sep + fulltmpdir[0] + os.sep
model = tmpdirpath + 'model.vtk'
vtkpath = os.path.abspath(".." + os.sep + ".." + os.sep + "plotter" + os.sep + "vtk_objects")
coast = vtkpath + os.sep + "coastline.vtk"
plate = vtkpath + os.sep + "nuvel.vtk"
#Move the earth to a more interesting viewing angle
sc = mayavi.new_scene()
#sc = mayavi.scenes[0]
sc.scene.camera.position = [-2.7052003426618358, -5.734319456638211, 2.1247131906105454]
sc.scene.camera.focal_point = [0.0, 0.0, 0.0]
sc.scene.camera.view_angle = 30.0
sc.scene.camera.view_up = [-0.2466025971449512, 0.43686490479728257, 0.86506428318236928]
sc.scene.camera.clipping_range = [3.4791144146559461, 10.741021597415996]
sc.scene.camera.compute_view_plane_normal()
coastdata = setup_data(coast)
view_data("black")
platedata = setup_data(plate)
view_data("white")
modeldata = setup_data(model)
view_model()
# Poll the file.
p = Pollster(model, modeldata)
timer = Timer(3000, p.poll_file)
# Keep a reference on the timer
mayavi2.savedtimerbug = timer
def __init__(self):
self.pendulum = DoublePendulum(self.m1, self.m2, self.l1, self.l2)
self.pendulum.init_status[:] = 1.0, 2.0, 0, 0
self.graph = DoublePendulumComponent()
self.graph.gui = self
self.timer = Timer(10, self.on_timer)
def init(self, info):
super(AnimationHandler, self).init(info)
info.object.timer = Timer(10, info.object.on_timer)
def _timer_default(self):
return Timer(int(self.interval * 1000), self._timer_event)