def set_imagepair(self, val):
if not self.theapp.current_target:
popup = AlertDialog(text='You need to select a target (on the Observing Screen) before proceeding!')
popup.open()
return
header = [[0],[0]]
pair = self.extract_pairs[self.pairstrings.index(val)]
self.current_extraction = self.current_target.extractions.get(str(hash(':'.join(pair))), None)
if not self.current_extraction:
im1, im2 = [fitsimage(os.path.join(self.paths['raw'], x), header[i]) for i, x in enumerate(pair)]
if 'EXREGX1' in header[0] or 'EXREGX1' in header[1]:
for x in ['x1','y1','x2','y2']:
tmp = header[0]['EXREG'+x.upper()] or header[1]['EXREG'+x.upper()]
if tmp:
self.set_coord(x, tmp)
region = map(int,[self.bx1, self.by1, self.bx2, self.by2])
td = int(tracedir(self.current_target.instrument_id) == 'horizontal')
self.current_extraction = extraction(im1, im2, self.current_flats, region,
td, 'Gaussian')
self.current_extraction.file1 = pair[0]
self.current_extraction.file2 = pair[1]
self.current_extraction.flatfile = os.path.join(self.paths['cal'],'Flat.fits')
self.theapp.current_target.extractions[self.current_extraction.name] = self.current_extraction
else:
self.bx1, self.by1, self.bx2, self.by2 = self.current_extraction.region
im = scalable_image(self.current_extraction.diff)
self.ids.ipane.load_data(im)
self.imwid, self.imht = im.dimensions
def set_imagepair(self, val):
if not self.theapp.current_target:
popup = AlertDialog(text='You need to select a target (on the Observing Screen) before proceeding!')
popup.open()
return
header = [fits.Header()]*2
pair = self.extract_pairs[self.pairstrings.index(val)]
#im1, im2 = [FitsImage(os.path.join(self.paths['raw'], x),
# load=True) for x in pair]
self.current_extraction = self.current_target.extractions.get(str(hash(':'.join(pair))), None)
if not self.current_extraction:
im1, im2 = [fitsimage(os.path.join(self.paths['raw'], x), header[i]) for i, x in enumerate(pair)]
if 'EXREGX1' in header[0] or 'EXREGX1' in header[1]:
for x in ['x1','y1','x2','y2']:
tmp = header[0]['EXREG'+x.upper()] or header[1]['EXREG'+x.upper()]
if tmp:
self.set_coord(x, tmp)
region = map(int,[self.bx1, self.by1, self.bx2, self.by2])
td = int(tracedir(self.current_target.instrument_id) == 'horizontal')
#pdb.set_trace()
self.current_extraction = extraction(im1, im2, self.current_flats, region,
td, 'Gaussian')
self.current_extraction.file1 = pair[0]
self.current_extraction.file2 = pair[1]
self.current_extraction.flatfile = os.path.join(self.paths['cal'],'Flat.fits')
self.theapp.current_target.extractions[self.current_extraction.name] = self.current_extraction
else:
self.bx1, self.by1, self.bx2, self.by2 = self.current_extraction.region
#fitsfile = self.paths['out']+re.sub(' ','',re.sub('.fits','',val))+'.fits'
#im1, im2 = [x for x in copy.deepcopy(self.extract_pairs[pair_index])]
#if not os.path.isfile(fitsfile):
# im1, im2 = [x for x in copy.deepcopy(self.extract_pairs[pair_index])]
# im1.load(); im2.load()
# im_subtract(im1, im2, outputfile=os.path.join(self.paths['out'],fitsfile))
#self.current_impair = FitsImage(os.path.join(self.paths['out'],fitsfile), load=True)
#self.ids.ipane.load_data(self.current_impair)
im = scalable_image(self.current_extraction.diff)
self.ids.ipane.load_data(im)
self.imwid, self.imht = im.dimensions
