def __init__(self,
display,
verbose=False,
dims=None,
canvas_format='jpeg',
*args,
**kwargs):
"""
Initialise a ginga display
canvas_type file type for displays ('jpeg': fast; 'png' : better, slow)
dims (x,y) dimensions of image display widget in screen pixels
"""
virtualDevice.DisplayImpl.__init__(self, display, verbose=False)
if dims is None:
# TODO: get defaults from Jupyter defaults?
width, height = 1024, 768
else:
width, height = dims
self._imageWidget = ipywidgets.Image(format=canvas_format,
width=width,
height=height)
logger = get_logger("ginga", log_stderr=True, level=40)
self._viewer = EnhancedCanvasView(logger=logger)
self._viewer.set_widget(self._imageWidget)
bd = self._viewer.get_bindings()
bd.enable_all(True)
self._canvas = self._viewer.add_canvas()
self._canvas.enable_draw(False)
self._maskTransparency = 0.8
self._redraw = True
def __init__(self, logger=None, width=500, height=500, use_opencv=True):
super().__init__()
# TODO: Is this the best place for this?
if use_opencv:
try:
from ginga import trcalc
trcalc.use('opencv')
except ImportError as exc:
warnings.warn('install opencv or set use_opencv=False')
self._viewer = EnhancedCanvasView(logger=logger)
self._is_marking = False
self._click_center = False
self._jup_img = ipyw.Image(format='jpeg', width=width, height=height)
self._viewer.set_widget(self._jup_img)
# enable all possible keyboard and pointer operations
self._viewer.get_bindings().enable_all(True)
# enable draw
self.dc = drawCatalog
self.canvas = self.dc.DrawingCanvas()
self.canvas.enable_draw(True)
self.canvas.enable_edit(True)
# Marker
self.marker = {'type': 'circle', 'color': 'cyan', 'radius': 20}
self._marktag = 'marktag'
# coordinates display
self._jup_coord = ipyw.HTML('Coordinates show up here')
# This needs ipyevents 0.3.1 to work
self._viewer.add_callback('cursor-changed', self._mouse_move_cb)
self._viewer.add_callback('cursor-down', self._mouse_click_cb)
# Define a callback that shows the output of a print
self.print_out = ipyw.Output()
self._cursor = 'bottom'
self.children = [self._jup_img, self._jup_coord]
def __init__(self, *args, **kwargs):
# Check for widget-specific arguments
backend = kwargs.pop('backend', 'ginga')
fits_specifier = kwargs.pop('fits_specifier', None)
show_cursor_location = kwargs.pop('show_cursor_location', True)
# then call super
super().__init__(*args, **kwargs)
# This should always be defined.
self._ginga_viewer = None
if backend == 'ginga':
from ginga.web.jupyterw.ImageViewJpw import EnhancedCanvasView
v1 = EnhancedCanvasView()
# ginga insists that a width and height be set, so make sure we
# have one.
self._image = Image()
children = [self._image]
self._image.width = self._image.width or '500'
self._image.height = self._image.height or '500'
# set our linkage between the jupyter widget at ginga
v1.set_widget(self._image)
# enable all possible keyboard and pointer operations
bd = v1.get_bindings()
bd.enable_all(True)
v1.load_fits(fits_specifier)
self._ginga_viewer = v1
self._file = fits_specifier
if show_cursor_location:
self._coord_display = HTML(value='Cursor position')
children.append(self._coord_display)
self._ginga_viewer.add_callback('cursor-changed',
self._update_cursor_display)
self.children = children
class ImageWidget(ipyw.VBox):
"""
Image widget for Jupyter notebook using Ginga viewer.
.. todo:: Any property passed to constructor has to be valid keyword.
Parameters
----------
logger : obj or `None`
Ginga logger. For example::
from ginga.misc.log import get_logger
logger = get_logger('my_viewer', log_stderr=False,
log_file='ginga.log', level=40)
width, height : int
Dimension of Jupyter notebook's image widget.
use_opencv : bool
Let Ginga use ``opencv`` to speed up image transformation;
e.g., rotation and mosaic. If this is enabled and you
do not have ``opencv``, you will see ``ImportError``.
"""
def __init__(self, logger=None, width=500, height=500, use_opencv=True):
super().__init__()
# TODO: Is this the best place for this?
if use_opencv:
from ginga import trcalc
trcalc.use('opencv')
self._viewer = EnhancedCanvasView(logger=logger)
self._is_marking = False
self._click_center = False
self._jup_img = ipyw.Image(format='jpeg', width=width, height=height)
self._viewer.set_widget(self._jup_img)
# enable all possible keyboard and pointer operations
self._viewer.get_bindings().enable_all(True)
# enable draw
self.dc = drawCatalog
self.canvas = self.dc.DrawingCanvas()
self.canvas.enable_draw(True)
self.canvas.enable_edit(True)
# Marker
self.marker = {'type': 'circle', 'color': 'cyan', 'radius': 20}
self._marktag = 'marktag'
# coordinates display
self._jup_coord = ipyw.HTML('Coordinates show up here')
# This needs ipyevents 0.3.1 to work
self._viewer.add_callback('cursor-changed', self._mouse_move_cb)
self._viewer.add_callback('cursor-down', self._mouse_click_cb)
# Define a callback that shows the output of a print
self.print_out = ipyw.Output()
self._cursor = 'bottom'
self.children = [self._jup_img, self._jup_coord]
@property
def logger(self):
"""Logger for this widget."""
return self._viewer.logger
def _mouse_move_cb(self, viewer, button, data_x, data_y):
"""
Callback to display position in RA/DEC deg.
"""
if self.cursor is None: # no-op
return
image = viewer.get_image()
if image is not None:
ix = int(data_x + 0.5)
iy = int(data_y + 0.5)
try:
imval = viewer.get_data(ix, iy)
except Exception:
imval = 'N/A'
# Same as setting pixel_coords_offset=1 in general.cfg
val = 'X: {:.2f}, Y:{:.2f}'.format(data_x + 1, data_y + 1)
if image.wcs.wcs is not None:
ra, dec = image.pixtoradec(data_x, data_y)
val += ' (RA: {}, DEC: {})'.format(raDegToString(ra),
decDegToString(dec))
val += ', value: {}'.format(imval)
self._jup_coord.value = val
def _mouse_click_cb(self, viewer, event, data_x, data_y):
"""
Callback to handle mouse clicks.
"""
if self.is_marking:
objs = []
try:
c_mark = viewer.canvas.get_object_by_tag(self._marktag)
except Exception: # Nothing drawn yet
pass
else: # Add to existing marks
objs = c_mark.objects
viewer.canvas.delete_object_by_tag(self._marktag)
# NOTE: By always using CompoundObject, marker handling logic
# is simplified.
obj = self.marker(x=data_x, y=data_y)
objs.append(obj)
self._marktag = viewer.canvas.add(self.dc.CompoundObject(*objs))
with self.print_out:
print('Selected {} {}'.format(obj.x, obj.y))
elif self.click_center:
self.center_on((data_x, data_y))
with self.print_out:
print('Centered on X={} Y={}'.format(data_x + 1, data_y + 1))
# def _repr_html_(self):
# """
# Show widget in Jupyter notebook.
# """
# return display(self._widget)
def load_fits(self, fitsorfn, numhdu=None, memmap=None):
"""
Load a FITS file into the viewer.
Parameters
----------
fitsorfn : str or HDU
Either a file name or an HDU (*not* an HDUList).
If file name is given, WCS in primary header is automatically
inherited. If a single HDU is given, WCS must be in the HDU
header.
numhdu : int or `None`
Extension number of the desired HDU.
If `None`, it is determined automatically.
memmap : bool or `None`
Memory mapping.
If `None, it is determined automatically.
"""
if isinstance(fitsorfn, str):
image = AstroImage(logger=self.logger, inherit_primary_header=True)
image.load_file(fitsorfn, numhdu=numhdu, memmap=memmap)
self._viewer.set_image(image)
elif isinstance(fitsorfn,
(fits.ImageHDU, fits.CompImageHDU, fits.PrimaryHDU)):
self._viewer.load_hdu(fitsorfn)
def load_nddata(self, nddata):
"""
Load an ``NDData`` object into the viewer.
.. todo:: Add flag/masking support, etc.
Parameters
----------
nddata : `~astropy.nddata.NDData`
``NDData`` with image data and WCS.
"""
from ginga.util.wcsmod.wcs_astropy import AstropyWCS
image = AstroImage(logger=self.logger)
image.set_data(nddata.data)
_wcs = AstropyWCS(self.logger)
_wcs.load_header(nddata.wcs.to_header())
try:
image.set_wcs(_wcs)
except Exception as e:
print('Unable to set WCS from NDData: {}'.format(str(e)))
self._viewer.set_image(image)
def load_array(self, arr):
"""
Load a 2D array into the viewer.
.. note:: Use :meth:`load_nddata` for WCS support.
Parameters
----------
arr : array-like
2D array.
"""
self._viewer.load_data(arr)
def center_on(self, point, pixel_coords_offset=1):
"""
Centers the view on a particular point.
Parameters
----------
point : tuple or `~astropy.coordinates.SkyCoord`
If tuple of ``(X, Y)`` is given, it is assumed
to be in data coordinates.
pixel_coords_offset : {0, 1}
Data coordinates provided are n-indexed,
where n is the given value.
This is ignored if ``SkyCoord`` is provided.
"""
if isinstance(point, SkyCoord):
self._viewer.set_pan(point.ra.deg, point.dec.deg, coord='wcs')
else:
self._viewer.set_pan(*(np.asarray(point) - pixel_coords_offset))
def offset_to(self, dx, dy, skycoord_offset=False):
"""
Move the center to a point that is given offset
away from the current center.
Parameters
----------
dx, dy : float
Offset value. Unit is assumed based on
``skycoord_offset``.
skycoord_offset : bool
If `True`, offset must be given in degrees.
Otherwise, they are in pixel values.
"""
if skycoord_offset:
coord = 'wcs'
else:
coord = 'data'
pan_x, pan_y = self._viewer.get_pan(coord=coord)
self._viewer.set_pan(pan_x + dx, pan_y + dy, coord=coord)
@property
def zoom_level(self):
"""
Zoom level:
* 1 means real-pixel-size.
* 2 means zoomed in by a factor of 2.
* 0.5 means zoomed out by a factor of 2.
"""
return self._viewer.get_scale()
@zoom_level.setter
def zoom_level(self, val):
self._viewer.scale_to(val, val)
def zoom(self, val):
"""
Zoom in or out by the given factor.
Parameters
----------
val : int
The zoom level to zoom the image.
See `zoom_level`.
"""
self.zoom_level = self.zoom_level * val
@property
def is_marking(self):
"""
`True` if in marking mode, `False` otherwise.
Marking mode means a mouse click adds a new marker.
This does not affect :meth:`add_markers`.
"""
return self._is_marking
@is_marking.setter
def is_marking(self, val):
if not isinstance(val, bool):
raise ValueError('Must be True or False')
elif self.click_center and val:
raise ValueError('Cannot set to True while in click-center mode')
self._is_marking = val
def stop_marking(self, clear_markers=True):
"""
Stop marking mode, with option to clear markers, if desired.
Parameters
----------
clear_markers : bool
If ``clear_markers`` is `False`, existing markers are
retained until :meth:`reset_markers` is called.
Otherwise, they are erased.
"""
self.is_marking = False
if clear_markers:
self.reset_markers()
@property
def marker(self):
"""
Marker to use.
.. todo:: Add more examples.
Marker can be set as follows::
{'type': 'circle', 'color': 'cyan', 'radius': 20}
"""
return self._marker
@marker.setter
def marker(self, val):
marker_type = val.pop('type')
if marker_type == 'circle':
self._marker = functools.partial(self.dc.Circle, **val)
else: # TODO: Implement more shapes
raise NotImplementedError(
'Marker type "{}" not supported'.format(marker_type))
def get_markers(self,
x_colname='x',
y_colname='y',
pixel_coords_offset=1,
skycoord_colname='coord'):
"""
Return the locations of existing markers.
Parameters
----------
x_colname, y_colname : str
Column names for X and Y data coordinates.
Coordinates retured are 0- or 1-indexed, depending
on ``pixel_coords_offset``.
pixel_coords_offset : {0, 1}
Data coordinates returned are n-indexed,
where n is the given value.
skycoord_colname : str
Column name for ``SkyCoord``, which contains
sky coordinates associated with the active image.
This is ignored if image has no WCS.
Returns
-------
markers_table : `~astropy.table.Table` or `None`
Table of markers, if any, or `None`.
"""
try:
c_mark = self._viewer.canvas.get_object_by_tag(self._marktag)
except Exception as e: # No markers
self.logger.warning(str(e))
return
image = self._viewer.get_image()
xy_col = []
if image.wcs.wcs is None: # Do not include SkyCoord column
include_skycoord = False
else:
include_skycoord = True
radec_col = []
# Extract coordinates from markers
for obj in c_mark.objects:
if obj.coord == 'data':
xy_col.append([obj.x, obj.y])
if include_skycoord:
radec_col.append([np.nan, np.nan])
elif not include_skycoord: # marker in WCS but image has none
self.logger.warning(
'Skipping ({},{}); image has no WCS'.format(obj.x, obj.y))
else: # wcs
xy_col.append([np.nan, np.nan])
radec_col.append([obj.x, obj.y])
# Convert to numpy arrays
xy_col = np.asarray(xy_col) # [[x0, y0], [x1, y1], ...]
if include_skycoord:
radec_col = np.asarray(
radec_col) # [[ra0, dec0], [ra1, dec1], ...]
# Fill in X,Y from RA,DEC
mask = np.isnan(xy_col[:, 0]) # One bool per row
if np.any(mask):
xy_col[mask] = image.wcs.wcspt_to_datapt(radec_col[mask])
# Fill in RA,DEC from X,Y
mask = np.isnan(radec_col[:, 0])
if np.any(mask):
radec_col[mask] = image.wcs.datapt_to_wcspt(xy_col[mask])
sky_col = SkyCoord(radec_col[:, 0], radec_col[:, 1], unit='deg')
# Convert X,Y from 0-indexed to 1-indexed
if pixel_coords_offset != 0:
xy_col += pixel_coords_offset
# Build table
if include_skycoord:
markers_table = Table([xy_col[:, 0], xy_col[:, 1], sky_col],
names=(x_colname, y_colname,
skycoord_colname))
else:
markers_table = Table(xy_col.T, names=(x_colname, y_colname))
return markers_table
def add_markers(self,
table,
x_colname='x',
y_colname='y',
pixel_coords_offset=1,
skycoord_colname='coord',
use_skycoord=False):
"""
Creates markers in the image at given points.
.. todo::
Later enhancements to include more columns
to control size/style/color of marks,
Parameters
----------
table : `~astropy.table.Table`
Table containing marker locations.
x_colname, y_colname : str
Column names for X and Y.
Coordinates can be 0- or 1-indexed, as
given by ``pixel_coords_offset``.
pixel_coords_offset : {0, 1}
Data coordinates provided are n-indexed,
where n is the given value.
This is ignored if ``use_skycoord=True``.
skycoord_colname : str
Column name with ``SkyCoord`` objects.
use_skycoord : bool
If `True`, use ``skycoord_colname`` to mark.
Otherwise, use ``x_colname`` and ``y_colname``.
"""
# TODO: Resolve https://github.com/ejeschke/ginga/issues/672
# Extract coordinates from table.
# They are always arrays, not scalar.
if use_skycoord:
image = self._viewer.get_image()
if image is None:
raise ValueError('Cannot get image from viewer')
if image.wcs.wcs is None:
raise ValueError('Image has no valid WCS, '
'try again with use_skycoord=False')
coord_type = 'wcs'
coord_val = table[skycoord_colname]
coord_x = coord_val.ra.deg
coord_y = coord_val.dec.deg
else: # Use X,Y
coord_type = 'data'
coord_x = table[x_colname].data
coord_y = table[y_colname].data
# Convert data coordinates from 1-indexed to 0-indexed
if pixel_coords_offset != 0:
coord_x -= pixel_coords_offset
coord_y -= pixel_coords_offset
# Prepare canvas and retain existing marks
objs = []
try:
c_mark = self._viewer.canvas.get_object_by_tag(self._marktag)
except Exception:
pass
else:
objs = c_mark.objects
self._viewer.canvas.delete_object_by_tag(self._marktag)
# TODO: Test to see if we can mix WCS and data on the same canvas
objs += [
self.marker(x=x, y=y, coord=coord_type)
for x, y in zip(coord_x, coord_y)
]
self._marktag = self._viewer.canvas.add(self.dc.CompoundObject(*objs))
# TODO: Future work?
def remove_markers(self, arr):
"""
Remove some but not all of the markers.
Parameters
----------
arr : ``SkyCoord`` or array-like
Sky coordinates or 2xN array.
"""
# NOTE: How to match? Use np.isclose?
# What if there are 1-to-many matches?
return NotImplementedError
def reset_markers(self):
"""
Delete all markers.
"""
try:
self._viewer.canvas.delete_object_by_tag(self._marktag)
except Exception:
pass
@property
def stretch_options(self):
"""
List all available options for image stretching.
"""
return self._viewer.get_color_algorithms()
@property
def stretch(self):
"""
The image stretching algorithm in use.
"""
return self._viewer.rgbmap.dist
# TODO: Possible to use astropy.visualization directly?
@stretch.setter
def stretch(self, val):
valid_vals = self.stretch_options
if val not in valid_vals:
raise ValueError('Value must be one of: {}'.format(valid_vals))
self._viewer.set_color_algorithm(val)
@property
def autocut_options(self):
"""
List all available options for image auto-cut.
"""
return self._viewer.get_autocut_methods()
@property
def cuts(self):
"""
Current image cut levels.
To set new cut levels, either provide a tuple of
``(low, high)`` values or one of the options from
`autocut_options`.
"""
return self._viewer.get_cut_levels()
# TODO: Possible to use astropy.visualization directly?
@cuts.setter
def cuts(self, val):
if isinstance(val, str): # Autocut
valid_vals = self.autocut_options
if val not in valid_vals:
raise ValueError('Value must be one of: {}'.format(valid_vals))
self._viewer.set_autocut_params(val)
else: # (low, high)
self._viewer.cut_levels(val[0], val[1])
@property
def cursor(self):
"""
Show or hide cursor information (X, Y, WCS).
Acceptable values are 'top', 'bottom', or `None`.
"""
return self._cursor
@cursor.setter
def cursor(self, val):
if val is None:
self._widget = self._jup_img
elif val == 'top':
self._widget = ipyw.VBox([self._jup_coord, self._jup_img])
elif val == 'bottom':
self._widget = ipyw.VBox([self._jup_img, self._jup_coord])
else:
raise NotImplementedError
self._cursor = val
@property
def click_center(self):
"""
Settable.
If True, middle-clicking can be used to center. If False, that
interaction is disabled.
In the future this might go from True/False to being a selectable
button. But not for the first round.
"""
return self._click_center
@click_center.setter
def click_center(self, val):
if not isinstance(val, bool):
raise ValueError('Must be True or False')
elif self.is_marking and val:
raise ValueError('Cannot set to True while in marking mode')
self._click_center = val
# TODO: Awaiting https://github.com/ejeschke/ginga/issues/674
@property
def click_drag(self):
"""
Settable.
If True, the "click-and-drag" mode is an available interaction for
panning. If False, it is not.
Note that this should be automatically made `False` when selection mode
is activated.
"""
raise NotImplementedError
@property
def scroll_pan(self):
"""
Settable.
If True, scrolling moves around in the image. If False, scrolling
(up/down) *zooms* the image in and out.
"""
raise NotImplementedError
# https://github.com/ejeschke/ginga/pull/665
def save(self, filename):
"""
Save out the current image view to given PNG filename.
"""
self._viewer.save_rgb_image_as_file(filename)
@property
def width(self):
"""
The width of the widget in pixels
"""
return int(self._jup_img.width)
@property
def height(self):
"""
The height of the widget in pixels
"""
return int(self._jup_img.height)
def __init__(self,
logger=None,
image_width=500,
image_height=500,
use_opencv=True,
pixel_coords_offset=0):
super().__init__()
# TODO: Is this the best place for this?
if use_opencv:
try:
from ginga import trcalc
trcalc.use('opencv')
except ImportError:
warnings.warn('install opencv or set use_opencv=False')
self._viewer = EnhancedCanvasView(logger=logger)
self._pixel_offset = pixel_coords_offset
self._jup_img = ipyw.Image(format='jpeg')
# Set the image margin to over the widgets default of 2px on
# all sides.
self._jup_img.layout.margin = '0'
# Set both of those to ensure consistent display in notebook
# and jupyterlab when the image is put into a container smaller
# than the image.
self._jup_img.max_width = '100%'
self._jup_img.height = 'auto'
# Set the width of the box containing the image to the desired width
self.layout.width = str(image_width)
# Note we are NOT setting the height. That is because the height
# is automatically set by the image aspect ratio.
# These need to also be set for now; ginga uses them to figure
# out what size image to make.
self._jup_img.width = image_width
self._jup_img.height = image_height
self._viewer.set_widget(self._jup_img)
# enable all possible keyboard and pointer operations
self._viewer.get_bindings().enable_all(True)
# enable draw
self.dc = drawCatalog
self.canvas = self.dc.DrawingCanvas()
self.canvas.enable_draw(True)
self.canvas.enable_edit(True)
# Make sure all of the internal state trackers have a value
# and start in a state which is definitely allowed: all are
# False.
self._is_marking = False
self._click_center = False
self._click_drag = False
self._scroll_pan = False
# Set a couple of things to match the ginga defaults
self.scroll_pan = True
self.click_drag = False
bind_map = self._viewer.get_bindmap()
# Set up right-click and drag adjusts the contrast
bind_map.map_event(None, (), 'ms_right', 'contrast')
# Shift-right-click restores the default contrast
bind_map.map_event(None, ('shift', ), 'ms_right', 'contrast_restore')
# Marker
self.marker = {'type': 'circle', 'color': 'cyan', 'radius': 20}
# Maintain marker tags as a set because we do not want
# duplicate names.
self._marktags = set()
# Let's have a default name for the tag too:
self._default_mark_tag_name = 'default-marker-name'
self._interactive_marker_set_name_default = 'interactive-markers'
self._interactive_marker_set_name = self._interactive_marker_set_name_default
# coordinates display
self._jup_coord = ipyw.HTML('Coordinates show up here')
# This needs ipyevents 0.3.1 to work
self._viewer.add_callback('cursor-changed', self._mouse_move_cb)
self._viewer.add_callback('cursor-down', self._mouse_click_cb)
# Define a callback that shows the output of a print
self.print_out = ipyw.Output()
self._cursor = 'bottom'
self.children = [self._jup_img, self._jup_coord]
class ImageWidget(ipyw.VBox):
"""
Image widget for Jupyter notebook using Ginga viewer.
.. todo:: Any property passed to constructor has to be valid keyword.
Parameters
----------
logger : obj or ``None``
Ginga logger. For example::
from ginga.misc.log import get_logger
logger = get_logger('my_viewer', log_stderr=False,
log_file='ginga.log', level=40)
image_width, image_height : int
Dimension of Jupyter notebook's image widget.
use_opencv : bool
Let Ginga use ``opencv`` to speed up image transformation;
e.g., rotation and mosaic. If this is enabled and you
do not have ``opencv``, you will get a warning.
pixel_coords_offset : int, optional
An offset, typically either 0 or 1, to add/subtract to all
pixel values when going to/from the displayed image.
*In almost all situations the default value, ``0``, is the
correct value to use.*
"""
def __init__(self,
logger=None,
image_width=500,
image_height=500,
use_opencv=True,
pixel_coords_offset=0):
super().__init__()
# TODO: Is this the best place for this?
if use_opencv:
try:
from ginga import trcalc
trcalc.use('opencv')
except ImportError:
warnings.warn('install opencv or set use_opencv=False')
self._viewer = EnhancedCanvasView(logger=logger)
self._pixel_offset = pixel_coords_offset
self._jup_img = ipyw.Image(format='jpeg')
# Set the image margin to over the widgets default of 2px on
# all sides.
self._jup_img.layout.margin = '0'
# Set both of those to ensure consistent display in notebook
# and jupyterlab when the image is put into a container smaller
# than the image.
self._jup_img.max_width = '100%'
self._jup_img.height = 'auto'
# Set the width of the box containing the image to the desired width
self.layout.width = str(image_width)
# Note we are NOT setting the height. That is because the height
# is automatically set by the image aspect ratio.
# These need to also be set for now; ginga uses them to figure
# out what size image to make.
self._jup_img.width = image_width
self._jup_img.height = image_height
self._viewer.set_widget(self._jup_img)
# enable all possible keyboard and pointer operations
self._viewer.get_bindings().enable_all(True)
# enable draw
self.dc = drawCatalog
self.canvas = self.dc.DrawingCanvas()
self.canvas.enable_draw(True)
self.canvas.enable_edit(True)
# Make sure all of the internal state trackers have a value
# and start in a state which is definitely allowed: all are
# False.
self._is_marking = False
self._click_center = False
self._click_drag = False
self._scroll_pan = False
# Set a couple of things to match the ginga defaults
self.scroll_pan = True
self.click_drag = False
bind_map = self._viewer.get_bindmap()
# Set up right-click and drag adjusts the contrast
bind_map.map_event(None, (), 'ms_right', 'contrast')
# Shift-right-click restores the default contrast
bind_map.map_event(None, ('shift', ), 'ms_right', 'contrast_restore')
# Marker
self.marker = {'type': 'circle', 'color': 'cyan', 'radius': 20}
# Maintain marker tags as a set because we do not want
# duplicate names.
self._marktags = set()
# Let's have a default name for the tag too:
self._default_mark_tag_name = 'default-marker-name'
self._interactive_marker_set_name_default = 'interactive-markers'
self._interactive_marker_set_name = self._interactive_marker_set_name_default
# coordinates display
self._jup_coord = ipyw.HTML('Coordinates show up here')
# This needs ipyevents 0.3.1 to work
self._viewer.add_callback('cursor-changed', self._mouse_move_cb)
self._viewer.add_callback('cursor-down', self._mouse_click_cb)
# Define a callback that shows the output of a print
self.print_out = ipyw.Output()
self._cursor = 'bottom'
self.children = [self._jup_img, self._jup_coord]
@property
def logger(self):
"""Logger for this widget."""
return self._viewer.logger
@property
def image_width(self):
return int(self._jup_img.width)
@image_width.setter
def image_width(self, value):
# widgets expect width/height as strings, but most users will not, so
# do the conversion.
self._jup_img.width = str(value)
self._viewer.set_window_size(self.image_width, self.image_height)
@property
def image_height(self):
return int(self._jup_img.height)
@image_height.setter
def image_height(self, value):
# widgets expect width/height as strings, but most users will not, so
# do the conversion.
self._jup_img.height = str(value)
self._viewer.set_window_size(self.image_width, self.image_height)
@property
def pixel_offset(self):
"""
An offset, typically either 0 or 1, to add/subtract to all
pixel values when going to/from the displayed image.
*In almost all situations the default value, ``0``, is the
correct value to use.*
This value cannot be modified after initialization.
"""
return self._pixel_offset
def _mouse_move_cb(self, viewer, button, data_x, data_y):
"""
Callback to display position in RA/DEC deg.
"""
if self.cursor is None: # no-op
return
image = viewer.get_image()
if image is not None:
ix = int(data_x + 0.5)
iy = int(data_y + 0.5)
try:
imval = viewer.get_data(ix, iy)
imval = '{:8.3f}'.format(imval)
except Exception:
imval = 'N/A'
val = 'X: {:.2f}, Y: {:.2f}'.format(data_x + self._pixel_offset,
data_y + self._pixel_offset)
if image.wcs.wcs is not None:
try:
ra, dec = image.pixtoradec(data_x, data_y)
val += ' (RA: {}, DEC: {})'.format(raDegToString(ra),
decDegToString(dec))
except Exception:
val += ' (RA, DEC: WCS error)'
val += ', value: {}'.format(imval)
self._jup_coord.value = val
def _mouse_click_cb(self, viewer, event, data_x, data_y):
"""
Callback to handle mouse clicks.
"""
if self.is_marking:
marker_name = self._interactive_marker_set_name
objs = []
try:
c_mark = viewer.canvas.get_object_by_tag(marker_name)
except Exception: # Nothing drawn yet
pass
else: # Add to existing marks
objs = c_mark.objects
viewer.canvas.delete_object_by_tag(marker_name)
# NOTE: By always using CompoundObject, marker handling logic
# is simplified.
obj = self._marker(x=data_x, y=data_y)
objs.append(obj)
viewer.canvas.add(self.dc.CompoundObject(*objs), tag=marker_name)
self._marktags.add(marker_name)
with self.print_out:
print('Selected {} {}'.format(obj.x, obj.y))
elif self.click_center:
self.center_on((data_x, data_y))
with self.print_out:
print('Centered on X={} Y={}'.format(
data_x + self._pixel_offset, data_y + self._pixel_offset))
# def _repr_html_(self):
# """
# Show widget in Jupyter notebook.
# """
# from IPython.display import display
# return display(self._widget)
def load_fits(self, fitsorfn, numhdu=None, memmap=None):
"""
Load a FITS file into the viewer.
Parameters
----------
fitsorfn : str or HDU
Either a file name or an HDU (*not* an HDUList).
If file name is given, WCS in primary header is automatically
inherited. If a single HDU is given, WCS must be in the HDU
header.
numhdu : int or ``None``
Extension number of the desired HDU.
If ``None``, it is determined automatically.
memmap : bool or ``None``
Memory mapping.
If ``None``, it is determined automatically.
"""
if isinstance(fitsorfn, str):
image = AstroImage(logger=self.logger, inherit_primary_header=True)
image.load_file(fitsorfn, numhdu=numhdu, memmap=memmap)
self._viewer.set_image(image)
elif isinstance(fitsorfn,
(fits.ImageHDU, fits.CompImageHDU, fits.PrimaryHDU)):
self._viewer.load_hdu(fitsorfn)
def load_nddata(self, nddata):
"""
Load an ``NDData`` object into the viewer.
.. todo:: Add flag/masking support, etc.
Parameters
----------
nddata : `~astropy.nddata.NDData`
``NDData`` with image data and WCS.
"""
from ginga.util.wcsmod.wcs_astropy import AstropyWCS
image = AstroImage(logger=self.logger)
image.set_data(nddata.data)
_wcs = AstropyWCS(self.logger)
if nddata.wcs:
_wcs.load_header(nddata.wcs.to_header())
try:
image.set_wcs(_wcs)
except Exception as e:
print('Unable to set WCS from NDData: {}'.format(str(e)))
self._viewer.set_image(image)
def load_array(self, arr):
"""
Load a 2D array into the viewer.
.. note:: Use :meth:`load_nddata` for WCS support.
Parameters
----------
arr : array-like
2D array.
"""
self._viewer.load_data(arr)
def center_on(self, point):
"""
Centers the view on a particular point.
Parameters
----------
point : tuple or `~astropy.coordinates.SkyCoord`
If tuple of ``(X, Y)`` is given, it is assumed
to be in data coordinates.
"""
if isinstance(point, SkyCoord):
self._viewer.set_pan(point.ra.deg, point.dec.deg, coord='wcs')
else:
self._viewer.set_pan(*(np.asarray(point) - self._pixel_offset))
def offset_to(self, dx, dy, skycoord_offset=False):
"""
Move the center to a point that is given offset
away from the current center.
Parameters
----------
dx, dy : float
Offset value. Unit is assumed based on
``skycoord_offset``.
skycoord_offset : bool
If `True`, offset must be given in degrees.
Otherwise, they are in pixel values.
"""
if skycoord_offset:
coord = 'wcs'
else:
coord = 'data'
pan_x, pan_y = self._viewer.get_pan(coord=coord)
self._viewer.set_pan(pan_x + dx, pan_y + dy, coord=coord)
@property
def zoom_level(self):
"""
Zoom level:
* 1 means real-pixel-size.
* 2 means zoomed in by a factor of 2.
* 0.5 means zoomed out by a factor of 2.
"""
return self._viewer.get_scale()
@zoom_level.setter
def zoom_level(self, val):
if val == 'fit':
self._viewer.zoom_fit()
else:
self._viewer.scale_to(val, val)
def zoom(self, val):
"""
Zoom in or out by the given factor.
Parameters
----------
val : int
The zoom level to zoom the image.
See `zoom_level`.
"""
self.zoom_level = self.zoom_level * val
@property
def is_marking(self):
"""
`True` if in marking mode, `False` otherwise.
Marking mode means a mouse click adds a new marker.
This does not affect :meth:`add_markers`.
"""
return self._is_marking
def start_marking(self, marker_name=None, marker=None):
"""
Start marking, with option to name this set of markers or
to specify the marker style.
"""
self._cached_state = dict(click_center=self.click_center,
click_drag=self.click_drag,
scroll_pan=self.scroll_pan)
self.click_center = False
self.click_drag = False
# Set scroll_pan to ensure there is a mouse way to pan
self.scroll_pan = True
self._is_marking = True
if marker_name is not None:
self._validate_marker_name(marker_name)
self._interactive_marker_set_name = marker_name
self._marktags.add(marker_name)
else:
self._interactive_marker_set_name = \
self._interactive_marker_set_name_default
if marker is not None:
self.marker = marker
def stop_marking(self, clear_markers=False):
"""
Stop marking mode, with option to clear markers, if desired.
Parameters
----------
clear_markers : bool, optional
If ``clear_markers`` is `False`, existing markers are
retained until :meth:`reset_markers` is called.
Otherwise, they are erased.
"""
if self.is_marking:
self._is_marking = False
self.click_center = self._cached_state['click_center']
self.click_drag = self._cached_state['click_drag']
self.scroll_pan = self._cached_state['scroll_pan']
self._cached_state = {}
if clear_markers:
self.reset_markers()
@property
def marker(self):
"""
Marker to use.
.. todo:: Add more examples.
Marker can be set as follows::
{'type': 'circle', 'color': 'cyan', 'radius': 20}
{'type': 'cross', 'color': 'green', 'radius': 20}
{'type': 'plus', 'color': 'red', 'radius': 20}
"""
# Change the marker from a very ginga-specific type (a partial
# of a ginga drawing canvas type) to a generic dict, which is
# what we expect the user to provide.
#
# That makes things like self.marker = self.marker work.
return self._marker_dict
@marker.setter
def marker(self, val):
# Make a new copy to avoid modifying the dict that the user passed in.
_marker = val.copy()
marker_type = _marker.pop('type')
if marker_type == 'circle':
self._marker = functools.partial(self.dc.Circle, **_marker)
elif marker_type == 'plus':
_marker['type'] = 'point'
_marker['style'] = 'plus'
self._marker = functools.partial(self.dc.Point, **_marker)
elif marker_type == 'cross':
_marker['type'] = 'point'
_marker['style'] = 'cross'
self._marker = functools.partial(self.dc.Point, **_marker)
else: # TODO: Implement more shapes
raise NotImplementedError(
'Marker type "{}" not supported'.format(marker_type))
# Only set this once we have successfully created a marker
self._marker_dict = val
def get_markers(self,
x_colname='x',
y_colname='y',
skycoord_colname='coord',
marker_name=None):
"""
Return the locations of existing markers.
Parameters
----------
x_colname, y_colname : str
Column names for X and Y data coordinates.
Coordinates returned are 0- or 1-indexed, depending
on ``self.pixel_offset``.
skycoord_colname : str
Column name for ``SkyCoord``, which contains
sky coordinates associated with the active image.
This is ignored if image has no WCS.
Returns
-------
markers_table : `~astropy.table.Table` or ``None``
Table of markers, if any, or ``None``.
"""
if marker_name is None:
marker_name = self._default_mark_tag_name
if marker_name == 'all':
# If it wasn't for the fact that SKyCoord columns can't
# be stacked this would all fit nicely into a list
# comprehension. But they can't, so we delete the
# SkyCoord column if it is present, then add it
# back after we have stacked.
coordinates = []
tables = []
for name in self._marktags:
table = self.get_markers(x_colname=x_colname,
y_colname=y_colname,
skycoord_colname=skycoord_colname,
marker_name=name)
if table is None:
# No markers by this name, skip it
continue
try:
coordinates.extend(c for c in table[skycoord_colname])
except KeyError:
pass
else:
del table[skycoord_colname]
tables.append(table)
stacked = vstack(tables, join_type='exact')
if coordinates:
stacked[skycoord_colname] = SkyCoord(coordinates)
return stacked
# We should always allow the default name. The case
# where that table is empty will be handled in a moment.
if (marker_name not in self._marktags
and marker_name != self._default_mark_tag_name):
raise ValueError(f"No markers named '{marker_name}' found.")
try:
c_mark = self._viewer.canvas.get_object_by_tag(marker_name)
except Exception:
# No markers in this table. Issue a warning and continue
warnings.warn(f"Marker set named '{marker_name}' is empty",
category=UserWarning)
return None
image = self._viewer.get_image()
xy_col = []
if (image is None) or (image.wcs.wcs is None):
# Do not include SkyCoord column
include_skycoord = False
else:
include_skycoord = True
radec_col = []
# Extract coordinates from markers
for obj in c_mark.objects:
if obj.coord == 'data':
xy_col.append([obj.x, obj.y])
if include_skycoord:
radec_col.append([np.nan, np.nan])
elif not include_skycoord: # marker in WCS but image has none
self.logger.warning(
'Skipping ({},{}); image has no WCS'.format(obj.x, obj.y))
else: # wcs
xy_col.append([np.nan, np.nan])
radec_col.append([obj.x, obj.y])
# Convert to numpy arrays
xy_col = np.asarray(xy_col) # [[x0, y0], [x1, y1], ...]
if include_skycoord:
# [[ra0, dec0], [ra1, dec1], ...]
radec_col = np.asarray(radec_col)
# Fill in X,Y from RA,DEC
mask = np.isnan(xy_col[:, 0]) # One bool per row
if np.any(mask):
xy_col[mask] = image.wcs.wcspt_to_datapt(radec_col[mask])
# Fill in RA,DEC from X,Y
mask = np.isnan(radec_col[:, 0])
if np.any(mask):
radec_col[mask] = image.wcs.datapt_to_wcspt(xy_col[mask])
sky_col = SkyCoord(radec_col[:, 0], radec_col[:, 1], unit='deg')
# Convert X,Y from 0-indexed to 1-indexed
if self._pixel_offset != 0:
xy_col += self._pixel_offset
# Build table
if include_skycoord:
markers_table = Table([xy_col[:, 0], xy_col[:, 1], sky_col],
names=(x_colname, y_colname,
skycoord_colname))
else:
markers_table = Table(xy_col, names=(x_colname, y_colname))
# Either way, add the marker names
markers_table['marker name'] = marker_name
return markers_table
def _validate_marker_name(self, marker_name):
"""
Raise an error if the marker_name is not allowed.
"""
if marker_name in RESERVED_MARKER_SET_NAMES:
raise ValueError('The marker name {} is not allowed. Any name is '
'allowed except these: '
'{}'.format(marker_name,
', '.join(RESERVED_MARKER_SET_NAMES)))
def add_markers(self,
table,
x_colname='x',
y_colname='y',
skycoord_colname='coord',
use_skycoord=False,
marker_name=None):
"""
Creates markers in the image at given points.
.. todo::
Later enhancements to include more columns
to control size/style/color of marks,
Parameters
----------
table : `~astropy.table.Table`
Table containing marker locations.
x_colname, y_colname : str
Column names for X and Y.
Coordinates can be 0- or 1-indexed, as
given by ``self.pixel_offset``.
skycoord_colname : str
Column name with ``SkyCoord`` objects.
use_skycoord : bool
If `True`, use ``skycoord_colname`` to mark.
Otherwise, use ``x_colname`` and ``y_colname``.
marker_name : str, optional
Name to assign the markers in the table. Providing a name
allows markers to be removed by name at a later time.
"""
# TODO: Resolve https://github.com/ejeschke/ginga/issues/672
# For now we always convert marker locations to pixels; see
# comment below.
coord_type = 'data'
if marker_name is None:
marker_name = self._default_mark_tag_name
self._validate_marker_name(marker_name)
self._marktags.add(marker_name)
# Extract coordinates from table.
# They are always arrays, not scalar.
if use_skycoord:
image = self._viewer.get_image()
if image is None:
raise ValueError('Cannot get image from viewer')
if image.wcs.wcs is None:
raise ValueError('Image has no valid WCS, '
'try again with use_skycoord=False')
coord_val = table[skycoord_colname]
# TODO: Maybe switch back to letting ginga handle conversion
# to pixel coordinates.
# Convert to pixels here (instead of in ginga) because conversion
# in ginga is currently very slow.
coord_x, coord_y = image.wcs.wcs.all_world2pix(
coord_val.ra.deg, coord_val.dec.deg, 0)
# In the event a *single* marker has been added, coord_x and coord_y
# will be scalars. Make them arrays always.
if np.ndim(coord_x) == 0:
coord_x = np.array([coord_x])
coord_y = np.array([coord_y])
else: # Use X,Y
coord_x = table[x_colname].data
coord_y = table[y_colname].data
# Convert data coordinates from 1-indexed to 0-indexed
if self._pixel_offset != 0:
# Don't use the in-place operator -= here...that modifies
# the input table.
coord_x = coord_x - self._pixel_offset
coord_y = coord_y - self._pixel_offset
# Prepare canvas and retain existing marks
objs = []
try:
c_mark = self._viewer.canvas.get_object_by_tag(marker_name)
except Exception:
pass
else:
objs = c_mark.objects
self._viewer.canvas.delete_object_by_tag(marker_name)
# TODO: Test to see if we can mix WCS and data on the same canvas
objs += [
self._marker(x=x, y=y, coord=coord_type)
for x, y in zip(coord_x, coord_y)
]
self._viewer.canvas.add(self.dc.CompoundObject(*objs), tag=marker_name)
def remove_markers(self, marker_name=None):
"""
Remove some but not all of the markers by name used when
adding the markers
Parameters
----------
marker_name : str, optional
Name used when the markers were added.
"""
# TODO:
# arr : ``SkyCoord`` or array-like
# Sky coordinates or 2xN array.
#
# NOTE: How to match? Use np.isclose?
# What if there are 1-to-many matches?
if marker_name is None:
marker_name = self._default_mark_tag_name
if marker_name not in self._marktags:
# This shouldn't have happened, raise an error
raise ValueError('Marker name {} not found in current markers.'
' Markers currently in use are '
'{}'.format(marker_name, sorted(self._marktags)))
try:
self._viewer.canvas.delete_object_by_tag(marker_name)
except KeyError:
raise KeyError('Unable to remove markers named {} from image. '
''.format(marker_name))
else:
self._marktags.remove(marker_name)
def reset_markers(self):
"""
Delete all markers.
"""
# Grab the entire list of marker names before iterating
# otherwise what we are iterating over changes.
for marker_name in list(self._marktags):
self.remove_markers(marker_name)
@property
def stretch_options(self):
"""
List all available options for image stretching.
"""
return self._viewer.get_color_algorithms()
@property
def stretch(self):
"""
The image stretching algorithm in use.
"""
return self._viewer.rgbmap.dist
# TODO: Possible to use astropy.visualization directly?
@stretch.setter
def stretch(self, val):
valid_vals = self.stretch_options
if val not in valid_vals:
raise ValueError('Value must be one of: {}'.format(valid_vals))
self._viewer.set_color_algorithm(val)
@property
def autocut_options(self):
"""
List all available options for image auto-cut.
"""
return self._viewer.get_autocut_methods()
@property
def cuts(self):
"""
Current image cut levels.
To set new cut levels, either provide a tuple of
``(low, high)`` values or one of the options from
`autocut_options`.
"""
return self._viewer.get_cut_levels()
# TODO: Possible to use astropy.visualization directly?
@cuts.setter
def cuts(self, val):
if isinstance(val, str): # Autocut
valid_vals = self.autocut_options
if val not in valid_vals:
raise ValueError('Value must be one of: {}'.format(valid_vals))
self._viewer.set_autocut_params(val)
else: # (low, high)
if len(val) > 2:
raise ValueError('Value must have length 2.')
self._viewer.cut_levels(val[0], val[1])
@property
def colormap_options(self):
"""List of colormap names."""
from ginga import cmap
return cmap.get_names()
def set_colormap(self, cmap):
"""
Set colormap to the given colormap name.
Parameters
----------
cmap : str
Colormap name. Possible values can be obtained from
:meth:`colormap_options`.
"""
self._viewer.set_color_map(cmap)
@property
def cursor(self):
"""
Show or hide cursor information (X, Y, WCS).
Acceptable values are 'top', 'bottom', or ``None``.
"""
return self._cursor
@cursor.setter
def cursor(self, val):
if val is None:
self._jup_coord.layout.visibility = 'hidden'
self._jup_coord.layout.display = 'none'
elif val == 'top' or val == 'bottom':
self._jup_coord.layout.visibility = 'visible'
self._jup_coord.layout.display = 'flex'
if val == 'top':
self.layout.flex_flow = 'column-reverse'
else:
self.layout.flex_flow = 'column'
else:
raise ValueError('Invalid value {} for cursor.'
'Valid values are: '
'{}'.format(val, ALLOWED_CURSOR_LOCATIONS))
self._cursor = val
@property
def click_center(self):
"""
Settable.
If True, middle-clicking can be used to center. If False, that
interaction is disabled.
In the future this might go from True/False to being a selectable
button. But not for the first round.
"""
return self._click_center
@click_center.setter
def click_center(self, val):
if not isinstance(val, bool):
raise ValueError('Must be True or False')
elif self.is_marking and val:
raise ValueError('Cannot set to True while in marking mode')
if val:
self.click_drag = False
self._click_center = val
# TODO: Awaiting https://github.com/ejeschke/ginga/issues/674
@property
def click_drag(self):
"""
Settable.
If True, the "click-and-drag" mode is an available interaction for
panning. If False, it is not.
Note that this should be automatically made `False` when selection mode
is activated.
"""
return self._click_drag
@click_drag.setter
def click_drag(self, value):
if not isinstance(value, bool):
raise ValueError('click_drag must be either True or False')
if self.is_marking:
raise ValueError('Interactive marking is in progress. Call '
'stop_marking() to end marking before setting '
'click_drag')
self._click_drag = value
bindmap = self._viewer.get_bindmap()
if value:
# Only turn off click_center if click_drag is being set to True
self.click_center = False
bindmap.map_event(None, (), 'ms_left', 'pan')
else:
bindmap.map_event(None, (), 'ms_left', 'cursor')
@property
def scroll_pan(self):
"""
Settable.
If True, scrolling moves around in the image. If False, scrolling
(up/down) *zooms* the image in and out.
"""
return self._scroll_pan
@scroll_pan.setter
def scroll_pan(self, value):
if not isinstance(value, bool):
raise ValueError('scroll_pan must be either True or False')
bindmap = self._viewer.get_bindmap()
self._scroll_pan = value
if value:
bindmap.map_event(None, (), 'pa_pan', 'pan')
else:
bindmap.map_event(None, (), 'pa_pan', 'zoom')
def save(self, filename):
"""
Save out the current image view to given PNG filename.
"""
# It turns out the image value is already in PNG format so we just
# to write that out to a file.
with open(filename, 'wb') as f:
f.write(self._jup_img.value)
class DisplayImpl(virtualDevice.DisplayImpl):
def __init__(self,
display,
verbose=False,
dims=None,
canvas_format='jpeg',
*args,
**kwargs):
"""
Initialise a ginga display
canvas_type file type for displays ('jpeg': fast; 'png' : better, slow)
dims (x,y) dimensions of image display widget in screen pixels
"""
virtualDevice.DisplayImpl.__init__(self, display, verbose=False)
if dims is None:
# TODO: get defaults from Jupyter defaults?
width, height = 1024, 768
else:
width, height = dims
self._imageWidget = ipywidgets.Image(format=canvas_format,
width=width,
height=height)
logger = get_logger("ginga", log_stderr=True, level=40)
self._viewer = EnhancedCanvasView(logger=logger)
self._viewer.set_widget(self._imageWidget)
bd = self._viewer.get_bindings()
bd.enable_all(True)
self._canvas = self._viewer.add_canvas()
self._canvas.enable_draw(False)
self._maskTransparency = 0.8
self._redraw = True
def embed(self):
"""Attach this display to the output of the current cell."""
return self._viewer.embed()
#
# Extensions to the API
#
def get_viewer(self):
"""Return the ginga viewer"""
return self._viewer
def show_color_bar(self, show=True):
"""Show (or hide) the colour bar"""
self._viewer.show_color_bar(show)
def show_pan_mark(self, show=True, color='red'):
"""Show (or hide) the colour bar"""
self._viewer.show_pan_mark(show, color)
def _setMaskTransparency(self, transparency, maskplane):
"""Specify mask transparency (percent); or None to not set it when loading masks"""
if maskplane is not None:
print(
"display_ginga is not yet able to set transparency for individual maskplanes"
% maskplane,
file=sys.stderr)
return
self._maskTransparency = 0.01 * transparency
def _getMaskTransparency(self, maskplane=None):
"""Return the current mask transparency"""
return self._maskTransparency
def _mtv(self, image, mask=None, wcs=None, title=""):
"""Display an Image and/or Mask on a ginga display"""
self._erase()
self._canvas.delete_all_objects()
if image:
# We'd call
# self._viewer.load_data(image.getArray())
# except that we want to include the wcs
#
# Still need to handle the title
#
from ginga import AstroImage
astroImage = AstroImage.AstroImage(logger=self._viewer.logger,
data_np=image.getArray())
if wcs is not None:
astroImage.set_wcs(WcsAdaptorForGinga(wcs))
self._viewer.set_image(astroImage)
if mask:
import numpy as np
from matplotlib.colors import colorConverter
from ginga.RGBImage import RGBImage # 8 bpp RGB[A] images
# create a 3-channel RGB image + alpha
maskRGB = np.zeros((mask.getHeight(), mask.getWidth(), 4),
dtype=np.uint8)
maska = mask.getArray()
nSet = np.zeros_like(maska, dtype='uint8')
R, G, B, A = 0, 1, 2, 3 # names for colours and alpha plane
colorGenerator = self.display.maskColorGenerator(omitBW=True)
for maskPlaneName, maskPlaneNum in mask.getMaskPlaneDict().items():
isSet = maska & (1 << maskPlaneNum) != 0
if (isSet == 0).all(): # no bits set; nowt to do
continue
color = self.display.getMaskPlaneColor(maskPlaneName)
if not color: # none was specified
color = next(colorGenerator)
elif color.lower() == "ignore":
continue
r, g, b = colorConverter.to_rgb(color)
maskRGB[:, :, R][isSet] = 255 * r
maskRGB[:, :, G][isSet] = 255 * g
maskRGB[:, :, B][isSet] = 255 * b
nSet[isSet] += 1
alpha = self.display.getMaskTransparency(
) # Bug! Fails to return a value
if alpha is None:
alpha = self._getMaskTransparency()
maskRGB[:, :, A] = 255 * (1 - alpha)
maskRGB[:, :, A][nSet == 0] = 0
nSet[nSet == 0] = 1 # avoid division by 0
for C in (R, G, B):
maskRGB[:, :, C] //= nSet
rgb_img = RGBImage(data_np=maskRGB)
Image = self._canvas.get_draw_class(
'image') # the appropriate class
maskImageRGBA = Image(0, 0, rgb_img)
self._canvas.add(maskImageRGBA)
#
# Graphics commands
#
def _buffer(self, enable=True):
self._redraw = not enable
def _flush(self):
self._viewer.redraw(whence=3)
def _erase(self):
"""Erase the display"""
self._canvas.delete_all_objects()
def _dot(self,
symb,
c,
r,
size,
ctype,
fontFamily="helvetica",
textAngle=None):
"""Draw a symbol at (col,row) = (c,r) [0-based coordinates]
Possible values are:
+ Draw a +
x Draw an x
* Draw a *
o Draw a circle
@:Mxx,Mxy,Myy Draw an ellipse with moments (Mxx, Mxy, Myy) (argument size is ignored)
An object derived from afwGeom.ellipses.BaseCore Draw the ellipse (argument size is ignored)
Any other value is interpreted as a string to be drawn. Strings
obey the fontFamily (which may be extended with other
characteristics, e.g. "times bold italic". Text will be drawn
rotated by textAngle (textAngle is ignored otherwise).
N.b. objects derived from BaseCore include Axes and Quadrupole.
"""
if isinstance(symb, afwGeom.ellipses.BaseCore):
Ellipse = self._canvas.get_draw_class('ellipse')
self._canvas.add(Ellipse(c,
r,
xradius=symb.getA(),
yradius=symb.getB(),
rot_deg=math.degrees(symb.getTheta()),
color=ctype),
redraw=self._redraw)
elif symb == 'o':
Circle = self._canvas.get_draw_class('circle')
self._canvas.add(Circle(c, r, radius=size, color=ctype),
redraw=self._redraw)
else:
Line = self._canvas.get_draw_class('line')
Text = self._canvas.get_draw_class('text')
for ds9Cmd in ds9Regions.dot(symb,
c,
r,
size,
fontFamily="helvetica",
textAngle=None):
tmp = ds9Cmd.split('#')
cmd = tmp.pop(0).split()
comment = tmp.pop(0) if tmp else ""
cmd, args = cmd[0], cmd[1:]
if cmd == "line":
self._canvas.add(Line(*[float(p) - 1 for p in args],
color=ctype),
redraw=self._redraw)
elif cmd == "text":
x, y = [float(p) - 1 for p in args[0:2]]
self._canvas.add(Text(x, y, symb, color=ctype),
redraw=self._redraw)
else:
raise RuntimeError(ds9Cmd)
def _drawLines(self, points, ctype):
"""Connect the points, a list of (col,row)
Ctype is the name of a colour (e.g. 'red')
"""
Line = self._canvas.get_draw_class('line')
p0 = points[0]
for p in points[1:]:
self._canvas.add(Line(p0[0], p0[1], p[0], p[1], color=ctype),
redraw=self._redraw)
p0 = p
#
# Set gray scale
#
def _scale(self, algorithm, min, max, unit, *args, **kwargs):
self._viewer.set_color_map('gray')
self._viewer.set_color_algorithm(algorithm)
if min == "zscale":
self._viewer.set_autocut_params('zscale', contrast=0.25)
self._viewer.auto_levels()
elif min == "minmax":
self._viewer.set_autocut_params('minmax')
self._viewer.auto_levels()
else:
if unit:
print("ginga: ignoring scale unit %s" % unit, file=sys.stderr)
self._viewer.cut_levels(min, max)
def _show(self):
"""Show the requested display
In this case, embed it in the notebook (equivalent to Display.get_viewer().show();
see also Display.get_viewer().embed()
N.b. These command *must* be the last entry in their cell
"""
return self._viewer.show()
#
# Zoom and Pan
#
def _zoom(self, zoomfac):
"""Zoom by specified amount"""
self._viewer.scale_to(zoomfac, zoomfac)
def _pan(self, colc, rowc):
"""Pan to (colc, rowc)"""
self._viewer.set_pan(colc, rowc)
def XXX_getEvent(self):
"""Listen for a key press, returning (key, x, y)"""
raise RuntimeError("Write me")
k = '?'
x, y = self._viewer.get_pan()
return GingaEvent(k, x, y)