/usr/lib/python2.7/dist-packages/ginga/rv/plugins/Pipeline.py is in python-ginga 2.6.1-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 | #
# Pipeline.py -- Simple data reduction pipeline plugin for Ginga FITS viewer
#
# This is open-source software licensed under a BSD license.
# Please see the file LICENSE.txt for details.
#
from __future__ import print_function
import numpy
from ginga import AstroImage
from ginga.util import dp
from ginga import GingaPlugin
from ginga.gw import Widgets
class Pipeline(GingaPlugin.LocalPlugin):
def __init__(self, fv, fitsimage):
# superclass defines some variables for us, like logger
super(Pipeline, self).__init__(fv, fitsimage)
# Load preferences
prefs = self.fv.get_preferences()
self.settings = prefs.createCategory('plugin_Pipeline')
self.settings.setDefaults(num_threads=4)
self.settings.load(onError='silent')
# For building up an image stack
self.imglist = []
# For applying flat fielding
self.flat = None
# For subtracting bias
self.bias = None
self.gui_up = False
def build_gui(self, container):
top = Widgets.VBox()
top.set_border_width(4)
vbox1, sw, orientation = Widgets.get_oriented_box(container)
vbox1.set_border_width(4)
vbox1.set_spacing(2)
self.msg_font = self.fv.get_font("sansFont", 12)
tw = Widgets.TextArea(wrap=True, editable=False)
tw.set_font(self.msg_font)
self.tw = tw
fr = Widgets.Frame("Instructions")
fr.set_widget(tw)
vbox1.add_widget(fr, stretch=0)
# Main pipeline control area
captions = [
("Subtract Bias", 'button', "Bias Image:", 'label',
'bias_image', 'llabel'),
("Apply Flat Field", 'button', "Flat Image:", 'label',
'flat_image', 'llabel'),
]
w, b = Widgets.build_info(captions, orientation=orientation)
self.w.update(b)
fr = Widgets.Frame("Pipeline")
fr.set_widget(w)
vbox1.add_widget(fr, stretch=0)
b.subtract_bias.add_callback('activated', self.subtract_bias_cb)
b.subtract_bias.set_tooltip("Subtract a bias image")
bias_name = 'None'
if self.bias is not None:
bias_name = self.bias.get('name', "NoName")
b.bias_image.set_text(bias_name)
b.apply_flat_field.add_callback('activated', self.apply_flat_cb)
b.apply_flat_field.set_tooltip("Apply a flat field correction")
flat_name = 'None'
if self.flat is not None:
flat_name = self.flat.get('name', "NoName")
b.flat_image.set_text(flat_name)
vbox2 = Widgets.VBox()
# Pipeline status
hbox = Widgets.HBox()
hbox.set_spacing(4)
hbox.set_border_width(4)
label = Widgets.Label()
self.w.eval_status = label
hbox.add_widget(self.w.eval_status, stretch=0)
hbox.add_widget(Widgets.Label(''), stretch=1)
vbox2.add_widget(hbox, stretch=0)
# progress bar and stop button
hbox = Widgets.HBox()
hbox.set_spacing(4)
hbox.set_border_width(4)
btn = Widgets.Button("Stop")
btn.add_callback('activated', lambda w: self.eval_intr())
btn.set_enabled(False)
self.w.btn_intr_eval = btn
hbox.add_widget(btn, stretch=0)
self.w.eval_pgs = Widgets.ProgressBar()
hbox.add_widget(self.w.eval_pgs, stretch=1)
vbox2.add_widget(hbox, stretch=0)
vbox2.add_widget(Widgets.Label(''), stretch=1)
vbox1.add_widget(vbox2, stretch=0)
# Image list
captions = [
("Append", 'button', "Prepend", 'button', "Clear", 'button'),
]
w, b = Widgets.build_info(captions, orientation=orientation)
self.w.update(b)
fr = Widgets.Frame("Image Stack")
vbox = Widgets.VBox()
hbox = Widgets.HBox()
self.w.stack = Widgets.Label('')
hbox.add_widget(self.w.stack, stretch=0)
vbox.add_widget(hbox, stretch=0)
vbox.add_widget(w, stretch=0)
fr.set_widget(vbox)
vbox1.add_widget(fr, stretch=0)
self.update_stack_gui()
b.append.add_callback('activated', self.append_image_cb)
b.append.set_tooltip("Append an individual image to the stack")
b.prepend.add_callback('activated', self.prepend_image_cb)
b.prepend.set_tooltip("Prepend an individual image to the stack")
b.clear.add_callback('activated', self.clear_stack_cb)
b.clear.set_tooltip("Clear the stack of images")
# Bias
captions = [
("Make Bias", 'button', "Set Bias", 'button'),
]
w, b = Widgets.build_info(captions, orientation=orientation)
self.w.update(b)
fr = Widgets.Frame("Bias Subtraction")
fr.set_widget(w)
vbox1.add_widget(fr, stretch=0)
b.make_bias.add_callback('activated', self.make_bias_cb)
b.make_bias.set_tooltip("Makes a bias image from a stack of individual images")
b.set_bias.add_callback('activated', self.set_bias_cb)
b.set_bias.set_tooltip("Set the currently loaded image as the bias image")
# Flat fielding
captions = [
("Make Flat Field", 'button', "Set Flat Field", 'button'),
]
w, b = Widgets.build_info(captions, orientation=orientation)
self.w.update(b)
fr = Widgets.Frame("Flat Fielding")
fr.set_widget(w)
vbox1.add_widget(fr, stretch=0)
b.make_flat_field.add_callback('activated', self.make_flat_cb)
b.make_flat_field.set_tooltip("Makes a flat field from a stack of individual flats")
b.set_flat_field.add_callback('activated', self.set_flat_cb)
b.set_flat_field.set_tooltip("Set the currently loaded image as the flat field")
spacer = Widgets.Label('')
vbox1.add_widget(spacer, stretch=1)
top.add_widget(sw, stretch=1)
btns = Widgets.HBox()
btns.set_spacing(3)
btn = Widgets.Button("Close")
btn.add_callback('activated', lambda w: self.close())
btns.add_widget(btn, stretch=0)
btns.add_widget(Widgets.Label(''), stretch=1)
top.add_widget(btns, stretch=0)
container.add_widget(top, stretch=1)
self.gui_up = True
def close(self):
chname = self.fv.get_channel_name(self.fitsimage)
self.fv.stop_local_plugin(chname, str(self))
self.gui_up = False
return True
def instructions(self):
self.tw.set_text("""TBD.""")
def start(self):
self.instructions()
def stop(self):
self.fv.show_status("")
def update_status(self, text):
self.fv.gui_do(self.w.eval_status.set_text, text)
def update_stack_gui(self):
stack = [ image.get('name', "NoName") for image in self.imglist ]
self.w.stack.set_text(str(stack))
def append_image_cb(self, w):
image = self.fitsimage.get_image()
self.imglist.append(image)
self.update_stack_gui()
self.update_status("Appended image #%d to stack." % (len(self.imglist)))
def prepend_image_cb(self, w):
image = self.fitsimage.get_image()
self.imglist.insert(0, image)
self.update_stack_gui()
self.update_status("Prepended image #%d to stack." % (len(self.imglist)))
def clear_stack_cb(self, w):
self.imglist = []
self.update_stack_gui()
self.update_status("Cleared image stack.")
def show_result(self, image):
chname = self.fv.get_channelName(self.fitsimage)
name = dp.get_image_name(image)
self.imglist.insert(0, image)
self.update_stack_gui()
self.fv.add_image(name, image, chname=chname)
# BIAS
def _make_bias(self):
image = dp.make_bias(self.imglist)
self.imglist = []
self.fv.gui_do(self.show_result, image)
self.update_status("Made bias image.")
def make_bias_cb(self, w):
self.update_status("Making bias image...")
self.fv.nongui_do(self.fv.error_wrap, self._make_bias)
def subtract_bias_cb(self, w):
image = self.fitsimage.get_image()
if self.bias is None:
self.fv.show_error("Please set a bias image first")
else:
result = self.fv.error_wrap(dp.subtract, image, self.bias)
self.fv.gui_do(self.show_result, result)
def set_bias_cb(self, w):
# Current image is a bias image we should set
self.bias = self.fitsimage.get_image()
biasname = dp.get_image_name(self.bias, pfx='bias')
self.w.bias_image.set_text(biasname)
self.update_status("Set bias image.")
# FLAT FIELDING
def _make_flat_field(self):
result = dp.make_flat(self.imglist)
self.imglist = []
self.show_result(result)
self.update_status("Made flat field.")
def make_flat_cb(self, w):
self.update_status("Making flat field...")
self.fv.nongui_do(self.fv.error_wrap, self._make_flat_field)
def apply_flat_cb(self, w):
image = self.fitsimage.get_image()
if self.flat is None:
self.fv.show_error("Please set a flat field image first")
else:
result = self.fv.error_wrap(dp.divide, image, self.flat)
print(result, image)
self.fv.gui_do(self.show_result, result)
def set_flat_cb(self, w):
# Current image is a flat field we should set
self.flat = self.fitsimage.get_image()
flatname = dp.get_image_name(self.flat, pfx='flat')
self.w.flat_image.set_text(flatname)
self.update_status("Set flat field.")
def __str__(self):
return 'pipeline'
#END
|