def callback_select_files(self):
fnames = askopenfilenames(initialdir=self.variables.browse_directory,
filetypes=common_use_collection)
if fnames is None or fnames in ['', ()]:
return
# update the default directory for browsing
self.variables.browse_directory = os.path.split(fnames[0])[0]
the_reader = None
if len(fnames) > 1:
the_reader = ComplexImageReader(fnames)
if the_reader is None:
try:
the_reader = ComplexImageReader(fnames[0])
except IOError:
the_reader = None
if the_reader is None:
the_reader = DerivedImageReader(fnames[0])
if the_reader is None:
showinfo(
'Opener not found',
message='File {} was not successfully opened as a SICD type '
'or SIDD type file.'.format(fnames))
return
self.update_reader(the_reader)
def callback_select_files(self):
fnames = askopenfilenames(initialdir=self.variables.browse_directory, filetypes=common_use_collection)
if fnames is None or fnames in ['', ()]:
return
# update the default directory for browsing
self.variables.browse_directory = os.path.split(fnames[0])[0]
if len(fnames) == 1:
the_reader = ComplexImageReader(fnames[0])
else:
the_reader = ComplexImageReader(fnames)
self.update_reader(the_reader)
def set_col_data():
# calculate the fourier transform with deskew in the column direction
col_file, col_memmap, col_mean_value = create_deskewed_transform(
self.variables.image_reader, dimension=1)
self.variables.column_fourier_file = col_file
self.variables.column_fourier_reader = ComplexImageReader(
FlatSICDReader(self.variables.image_reader.get_sicd(),
col_memmap))
self.column_centered_image_panel.set_image_reader(
self.variables.column_fourier_reader)
draw_deltak_lines(self.column_centered_image_panel.canvas)
# rescale the row_mean_value so that the smoothed max value is essentially 1
if col_mean_value.size < 200:
the_max = numpy.amax(col_mean_value)
else:
the_size = int(numpy.ceil(col_mean_value.size / 200.))
smoothed = numpy.convolve(col_mean_value,
numpy.full((the_size, ),
1. / the_size,
dtype='float64'),
mode='valid')
the_max = numpy.amax(smoothed)
col_mean_value /= the_max
self.variables.scaled_column_mean = col_mean_value
# construct the proper weights and prepare information for weight plotting
self.variables.derived_column_weights = the_sicd.Grid.Col.define_weight_function(
populate=False)
def callback_select_directory(self):
dirname = askdirectory(initialdir=self.variables.browse_directory, mustexist=True)
if dirname is None or dirname in [(), '']:
return
# update the default directory for browsing
self.variables.browse_directory = os.path.split(dirname)[0]
the_reader = ComplexImageReader(dirname)
self.update_reader(the_reader)
def callback_select_directory(self):
dirname = askdirectory(initialdir=self.variables.browse_directory, mustexist=True)
if dirname is None or dirname in [(), '']:
return
# update the default directory for browsing
self.variables.browse_directory = os.path.split(dirname)[0]
try:
the_reader = ComplexImageReader(dirname)
except IOError:
showinfo('Opener not found',
message='Directory {} was not successfully opened as a SICD type.'.format(dirname))
return
self.update_reader(the_reader)
def callback_initialize_canvas_image(self):
image_file_extensions = ['*.nitf', '*.NITF', '*.ntf', '*.NTF']
ftypes = [
('NITF files', image_file_extensions),
('All files', '*'),
]
new_fname = askopenfilename(initialdir=self.variables.browse_directory,
filetypes=ftypes)
if new_fname:
self.variables.browse_directory = os.path.split(new_fname)[0]
self.variables.image_reader = ComplexImageReader(new_fname)
self.canvas_demo_image_panel.set_image_reader(
self.variables.image_reader)
def callback_noise(self):
"""
Enable noise analysis
"""
if not self._verify_reader():
return
# create a complex image reader - don't pass the same one around, so no hidden state
reader = ComplexImageReader(self.variables.image_reader.base_reader)
# open the rcs tool based on this reader
root = tkinter.Toplevel() # create a new toplevel with its own mainloop, so it's blocking
tool = RCSTool(root)
tool.update_reader(reader)
root.grab_set()
root.wait_window()
self._get_and_log_feedback('Noise Value')
def callback_sign(self):
"""
Enable Fourier sign analysis
"""
if not self._verify_reader():
return
# create a complex image reader - don't pass the same one around, so no hidden state
reader = ComplexImageReader(self.variables.image_reader.base_reader)
# open the aperture tool based on this reader
root = tkinter.Toplevel(self.root) # create a new toplevel with its own mainloop, so it's blocking
tool = RegionSelection(root)
tool.update_reader(reader)
root.grab_set()
root.wait_window()
self._get_and_log_feedback('Fourier Sign')
def callback_full_fs(self):
"""
Enable the full image frequency analysis
"""
if not self._verify_reader():
return
# create a complex image reader - don't pass the same one around, so no hidden state
reader = ComplexImageReader(self.variables.image_reader.base_reader)
# open the frequency support tool based on this reader
root = tkinter.Toplevel(self.root) # create a new toplevel with its own mainloop, so it's blocking
tool = FullFrequencySupportTool(root)
tool.update_reader(reader)
root.grab_set()
root.wait_window()
self._get_and_log_feedback('Full Image Frequency Support')