def __init__(self, logger, ev_quit, options):
super(GingaVision, self).__init__()
self.logger = logger
self.ev_quit = ev_quit
from ginga.gw import Widgets, Viewers, GwMain
self.card = 'default'
# playback rate; changed when we know the actual rate
self.fps = options.fps
self.playback_rate = 1.0 / 30.0
self.pimage = RGBImage.RGBImage()
self.pdata = None
self.app = Widgets.Application(logger=logger)
self.app.add_callback('shutdown', self.quit)
self.top = self.app.make_window("Ginga example2")
self.top.add_callback('close', lambda *args: self.quit())
thread_pool = Task.ThreadPool(2, logger, ev_quit=ev_quit)
thread_pool.startall()
self.main = GwMain.GwMain(logger=logger, ev_quit=ev_quit,
app=self.app, thread_pool=thread_pool)
vbox = Widgets.VBox()
vbox.set_border_width(2)
vbox.set_spacing(1)
fi = Viewers.CanvasView(logger=logger)
fi.set_autocut_params('histogram')
fi.enable_autozoom('off')
fi.enable_autocenter('once')
fi.enable_autocuts('off')
fi.cut_levels(0, 255)
fi.scale_to(1, 1)
fi.set_bg(0.2, 0.2, 0.2)
fi.ui_set_active(True)
self.viewer = fi
if options.optimize:
# Some optimizations to smooth playback at decent FPS
# PassThruRGBMapper is the most efficient mapper
rgbmap = RGBMap.PassThruRGBMapper(self.logger)
fi.set_rgbmap(rgbmap)
# Clip cuts assumes data does not need to be scaled in cut levels--
# only clipped
fi.set_autocuts(AutoCuts.Clip(logger=self.logger))
bd = fi.get_bindings()
bd.enable_all(True)
fi.set_desired_size(512, 512)
iw = Viewers.GingaViewerWidget(viewer=fi)
vbox.add_widget(iw, stretch=1)
hbox = Widgets.HBox()
hbox.set_margins(4, 2, 4, 2)
wopen = Widgets.Button("Open File")
#wopen.clicked.connect(self.open_file)
wquit = Widgets.Button("Quit")
wquit.add_callback('activated', lambda *args: self.quit())
for w in (wopen, wquit):
hbox.add_widget(w, stretch=0)
hbox.add_widget(Widgets.Label(''), stretch=1)
vbox.add_widget(hbox, stretch=0)
self.top.set_widget(vbox)
self.top.set_title("Video Example Viewer")
def __init__(self, logger, ev_quit, options):
super(GingaVision, self).__init__()
self.logger = logger
self.ev_quit = ev_quit
from ginga.gw import Widgets, Viewers, GwHelp, GwMain
self.card = 'default'
# playback rate; changed when we know the actual rate
self.fps = 30
self.playback_rate = 1.0 / self.fps
# Use an AstroImage, not RGBImage for now because we get a
# different default (faster) scaling algorithm
self.pimage = AstroImage.AstroImage()
self.pdata = None
self.app = Widgets.Application(logger=logger)
self.app.add_callback('shutdown', self.quit)
self.top = self.app.make_window("Ginga example2")
self.top.add_callback('close', lambda *args: self.quit())
thread_pool = Task.ThreadPool(2, logger, ev_quit=ev_quit)
thread_pool.startall()
self.main = GwMain.GwMain(logger=logger,
ev_quit=ev_quit,
app=self.app,
thread_pool=thread_pool)
vbox = Widgets.VBox()
vbox.set_border_width(2)
vbox.set_spacing(1)
fi = Viewers.CanvasView(logger=logger)
fi.enable_autocuts('off')
fi.set_autocut_params('histogram')
fi.enable_autozoom('off')
fi.cut_levels(0, 255)
fi.defer_redraw = False
fi.set_bg(0.2, 0.2, 0.2)
# flip y
fi.transform(False, False, False)
fi.ui_setActive(True)
self.fitsimage = fi
# Some optomizations to smooth playback at decent FPS
fi.set_redraw_lag(self.playback_rate)
#fi.set_redraw_lag(0.0)
fi._invertY = False
# PassThruRGBMapper doesn't color map data--data is already colored
rgbmap = RGBMap.PassThruRGBMapper(self.logger)
fi.set_rgbmap(rgbmap)
# Clip cuts assumes data does not need to be scaled in cut levels--
# only clipped
fi.set_autocuts(AutoCuts.Clip(logger=self.logger))
bd = fi.get_bindings()
bd.enable_pan(True)
bd.enable_zoom(True)
bd.enable_cuts(True)
bd.enable_flip(True)
bd.enable_cmap(True)
fi.set_desired_size(512, 512)
iw = Viewers.GingaViewerWidget(viewer=fi)
vbox.add_widget(iw, stretch=1)
hbox = Widgets.HBox()
hbox.set_margins(4, 2, 4, 2)
wopen = Widgets.Button("Open File")
#wopen.clicked.connect(self.open_file)
wquit = Widgets.Button("Quit")
wquit.add_callback('activated', lambda *args: self.quit())
for w in (wopen, wquit):
hbox.add_widget(w, stretch=0)
hbox.add_widget(Widgets.Label(''), stretch=1)
vbox.add_widget(hbox, stretch=0)
self.top.set_widget(vbox)
self.top.set_title("Video Example Viewer")
def __init__(self, qtmain, logger, ev_quit, options):
super(GingaVision, self).__init__()
self.qtmain = qtmain
self.logger = logger
self.ev_quit = ev_quit
self.card = 'default'
# playback rate; changed when we know the actual rate
self.fps = 30
self.playback_rate = 1.0 / self.fps
# Use an AstroImage, not RGBImage for now because we get a
# different default (faster) scaling algorithm
self.pimage = AstroImage.AstroImage()
self.pdata = None
fi = ImageViewZoom(self.logger, render='widget')
fi.enable_autocuts('off')
fi.set_autocut_params('histogram')
fi.enable_autozoom('off')
fi.cut_levels(0, 255)
fi.defer_redraw = False
fi.set_bg(0.2, 0.2, 0.2)
# flip y
fi.transform(False, False, False)
fi.ui_setActive(True)
self.fitsimage = fi
# Some optomizations to smooth playback at decent FPS
fi.set_redraw_lag(self.playback_rate)
#fi.set_redraw_lag(0.0)
fi._invertY = False
# PassThruRGBMapper doesn't color map data--data is already colored
rgbmap = RGBMap.PassThruRGBMapper(self.logger)
fi.set_rgbmap(rgbmap)
# Clip cuts assumes data does not need to be scaled in cut levels--
# only clipped
fi.set_autocuts(AutoCuts.Clip(logger=self.logger))
bd = fi.get_bindings()
bd.enable_pan(True)
bd.enable_zoom(True)
bd.enable_cuts(True)
bd.enable_flip(True)
bd.enable_cmap(True)
w = fi.get_widget()
w.resize(512, 512)
vbox = QtGui.QVBoxLayout()
vbox.setContentsMargins(QtCore.QMargins(2, 2, 2, 2))
vbox.setSpacing(1)
vbox.addWidget(w, stretch=1)
hbox = QtGui.QHBoxLayout()
hbox.setContentsMargins(QtCore.QMargins(4, 2, 4, 2))
wopen = QtGui.QPushButton("Open File")
#wopen.clicked.connect(self.open_file)
wquit = QtGui.QPushButton("Quit")
wquit.clicked.connect(self.quit)
hbox.addStretch(1)
for w in (wopen, wquit):
hbox.addWidget(w, stretch=0)
hw = QtGui.QWidget()
hw.setLayout(hbox)
vbox.addWidget(hw, stretch=0)
vw = QtGui.QWidget()
self.setCentralWidget(vw)
vw.setLayout(vbox)
self.setWindowTitle("Video Example Viewer")
