/usr/bin/fabio_viewer is in fabio-viewer 0.3.0+dfsg-1build1.
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# -*- coding: utf-8 -*-
#############################################################
# Images Converter
# Gael Goret for the European Synchrotron Radiation Facility
# gael.goret@esrf.fr
#############################################################
"""
FabIO_viewer is a portable diffraction images viewer/converter:
* Written in Python, it combines the functionalities of the I/O library fabIO with a user friendly Qt4 GUI.
* Image converter is also a light viewer based on the visualization tool provided by the module matplotlib.
"""
from __future__ import with_statement, print_function
__version__ = "1.0"
__author__ = u"Gaël Goret, Jérôme Kieffer"
__copyright__ = "2015 ESRF"
__licence__ = "GPL"
import sys
import os
import time
from PyQt4.QtCore import QDir, Qt, QRect, QString, QCoreApplication
from PyQt4.QtGui import QLabel, QVBoxLayout, QWidget, QSplitter, QListWidget, \
QComboBox, QApplication, QStyleFactory, QHBoxLayout, \
QTabWidget, QPlainTextEdit, QPushButton, QGroupBox, \
QCheckBox, QMainWindow, QSizePolicy, QButtonGroup, \
QProgressBar, QDialogButtonBox, QLineEdit, \
QIcon, QAction, QFileDialog, QMessageBox, QDialog
try:
_fromUtf8 = QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
import numpy
numpy.seterr(divide='ignore')
import matplotlib
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
import fabio
from fabio.nexus import Nexus
try:
from argparse import ArgumentParser
except ImportError:
from fabio.third_party.argparse import ArgumentParser
output_format = ['*.bin', '*.cbf', '*.edf', '*.h5', '*.img', '*.mar2300', '*.mar3450', '*.marccd', '*.tiff', "*.sfrm"]
#--------------------------------------------------------------------------------------------------------
# Application Form
#--------------------------------------------------------------------------------------------------------
class AppForm(QMainWindow):
def __init__(self, parent=None):
# Main window
QMainWindow.__init__(self, parent)
self.setWindowTitle('FabIO Viewer')
self.setSizePolicy(QSizePolicy().Expanding, QSizePolicy().Expanding)
# Menu and widget
self.create_menu()
self.create_main_frame()
self.create_status_bar()
# Active Data
self.data = numpy.array([])
self.header = []
# Data Series
self.imgDict = {}
self.data_series = []
self.header_series = []
self.sequential_file_list = []
self.sequential_file_dict = {}
# Miscellaneous
self.mask = None
self.transform_data_series = False
self.transform_list = []
self.sequential_file_mode = False
self.h5_loaded = False
self.counter_format = '%03d'
#--------------------------------------------------------------------------------------------------------
# Opening
#--------------------------------------------------------------------------------------------------------
def format_header(self, d):
"""
@param d: dict containing headers
@return: formated string
"""
keys = list(d.keys())
keys.sort()
res = " \n".join(['%s: %s' % (k, d[k]) for k in keys]) + " \n"
return res
def open_data_series(self, series=None):
if not series:
series = QFileDialog.getOpenFileNames(self, 'Select and open series of files')
series = [str(f) for f in list(series)]
total = len(series)
if len(series) != 0:
self.data_series = []
self.header_series = []
self.sequential_file_list = []
iid = 0
self.imgDict = {}
self.sequential_file_dict = {}
self.images_list.clear()
self.imagelistWidget.clear()
self.headerTextEdit.clear()
self.axes.clear()
self.canvas.draw()
self.h5_loaded = False
for fname in series:
if fname:
if self.sequential_file_mode:
self.statusBar().showMessage('Adding path %s to batch image list, please wait ...' % fname)
self.log.appendPlainText('Adding path %s to batch image list' % fname)
QCoreApplication.processEvents()
extract_fname = self.extract_fname_from_path(fname)
self.imagelistWidget.addItem(extract_fname)
self.sequential_file_list += [extract_fname]
self.sequential_file_dict[extract_fname] = fname
iid += 1
else:
self.statusBar().showMessage('Opening file %s, please wait ...' % fname)
self.log.appendPlainText('Opening file %s' % fname)
QCoreApplication.processEvents()
try:
img = fabio.open(fname)
except:
QMessageBox.warning(self, 'Message', 'Automatic format recognition procedure failed or perhaps you are trying to open a binary data block...\n\n ...Switch to manual procedure ')
dial = BinDialog(self)
dim1, dim2, offset, bytecode, endian = dial.exec_()
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(fname, dim1, dim2, offset, bytecode, endian)
img.header = {'Info': 'No header information available in binary data blocks'}
else:
continue
self.data_series += [img.data[:]]
self.header_series += [img.header.copy()]
extract_fname = self.extract_fname_from_path(fname)
self.images_list.addItem(extract_fname)
self.imagelistWidget.addItem(extract_fname)
self.imgDict[extract_fname] = iid
self.sequential_file_list += [extract_fname]
self.sequential_file_dict[extract_fname] = fname
iid += 1
self.progressBar.setValue(float(iid + 1) / (total) * 100.)
self.statusBar().clearMessage()
self.progressBar.setValue(0)
self.log.appendPlainText('Opening procedure: Complete')
if self.data_series:
self.select_new_image(None, imgID=0)
def open_h5_data_series(self): # TODO batch mode compatibility
fname = QFileDialog.getOpenFileName(self, 'Select and open series of files')
fname = str(fname)
self.h5_loaded = True
if self.filecheckBox.checkState():
self.filecheckBox.stateChanged.disconnect()
self.filecheckBox.setCheckState(False)
self.sequential_file_mode = False
self.filecheckBox.stateChanged.connect(self.sequential_option)
QMessageBox.warning(self, 'Message', 'Sequential file mode is not compatible with hdf5 input file: option removed')
if fname:
self.data_series = []
self.header_series = []
self.sequential_file_list = []
self.sequential_file_dict = {}
self.imagelistWidget.clear()
self.headerTextEdit.clear()
with Nexus(fname, 'r') as nxs:
entry = nxs.get_entries()[0]
nxdata = nxs.get_class(entry, class_type="NXdata")[0]
dataset = nxdata.get("data", numpy.zeros(shape=(1, 1, 1)))
total = dataset.shape[0]
imgDict = {}
extract_fname = self.extract_fname_from_path(self.remove_extention_if_present(fname))
self.images_list.clear()
safeiid = 0
for iid in range(total):
self.progressBar.setValue(((iid + 1.0) / (total)) * 100.)
self.log.appendPlainText('Extracting data from hdf5 archive, image number %d' % iid)
QCoreApplication.processEvents()
self.data_series.append(dataset[iid])
self.header_series += [{'Info': 'No header information available in hdf5 Archive'}]
imgDict[extract_fname + str(iid)] = safeiid
self.images_list.addItem(extract_fname + str(iid))
safeiid += 1
self.statusBar().clearMessage()
self.progressBar.setValue(0)
self.log.appendPlainText('Hdf5 Extraction: Complete')
self.imgDict = imgDict.copy()
if self.data_series:
self.select_new_image(None, imgID=0)
def extract_fname_from_path(self, name):
posslash = name.rfind("/")
if posslash > -1:
return name[posslash + 1:]
else:
return name
def save_as(self):
info = QFileDialog.getSaveFileNameAndFilter(self, "Save active image as",
QDir.currentPath(),
filter=self.tr("binary data block (*.bin);;cbf image (*.cbf);;edf image (*.edf);;oxford diffraction image (*.img);;mar2300 image(*.mar2300);;mar3450 image (*.mar3450);;marccd image (*.marccd));;tiff image (*.tiff);;bruker image (*.sfrm)"))
if self.data.any():
if str(info[0]) != '' and str(info[0]) != '':
format_ = self.extract_format_from_string(str(info[1]))
fname = self.add_extention_if_absent(str(info[0]), format_)
self.convert_and_write(fname, format_, self.data, self.header)
else:
if str(info[0]) != '' and str(info[1]) != '':
QMessageBox.warning(self, 'Warning', "Could not save image as file if no data have been loaded")
def save_data_series_as_multiple_file(self):
info = QFileDialog.getSaveFileNameAndFilter(self, "Save data series as multiple files",
QDir.currentPath(),
filter=self.tr("binary data block (*.bin);;cbf image (*.cbf);;edf image (*.edf);;oxford diffraction image (*.img);;mar2300 image(*.mar2300);;mar3450 image (*.mar3450);;marccd image (*.marccd));;tiff image (*.tiff);;bruker image (*.sfrm)"))
if self.data_series or self.sequential_file_list:
if str(info[0]) != '' and str(info[1]) != '':
format_ = self.extract_format_from_string(str(info[1]))
fname = self.remove_extention_if_present(str(info[0]))
self.convert_and_write_multiple_files(fname, format_)
else:
if str(info[0]) != '' and str(info[1]) != '':
QMessageBox.warning(self, 'Warning', "Could not save image as file if no data have been loaded")
def save_data_series_as_singlehdf(self):
info = QFileDialog.getSaveFileNameAndFilter(self, "Save data series as single high density file",
QDir.currentPath(),
filter=self.tr("HDF5 archive (*.h5)"))
if self.data_series or self.sequential_file_list:
if str(info[0]) != '' and str(info[1]) != '':
format_ = self.extract_format_from_string(str(info[1]))
fname = self.add_extention_if_absent(str(info[0]), format_)
if format_ == '*.h5':
self.convert_and_save_to_h5(fname)
else:
QMessageBox.warning(self, 'Warning', "Unknown format: %s" % format_)
return
else:
if str(info[0]) != '' and str(info[1]) != '':
QMessageBox.warning(self, 'Warning', "Could not save image as file if no data have been loaded")
def convert_and_save_to_h5(self, fname):
"""
Save a stack as Nexus entry (create a new entry in the file each time)
"""
with Nexus(fname) as nxs:
entry = nxs.new_entry(entry="entry", program_name="fabio_viewer", title="FabIO Viewer")
nxdata = nxs.new_class(entry, "fabio", class_type="NXdata")
# Read shape:
if self.sequential_file_mode:
total = len(self.sequential_file_list)
tmpfname = self.sequential_file_dict[self.sequential_file_list[0]]
try:
img = fabio.open(tmpfname)
except:
QMessageBox.warning(self, 'Message', 'Automatic format recognition procedure failed or perhaps you are trying to open a binary data block...\n\n ...Switch to manual procedure ')
dial = BinDialog(self)
dim1, dim2, offset, bytecode, endian = dial.exec_()
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(tmpfname, dim1, dim2, offset, bytecode, endian)
img.header = {'Info': 'No header information available in binary data blocks'}
else:
return
data = img.data
else:
total = len(self.data_series)
data = self.data_series[0]
if self.transform_data_series:
tmpdata = self.apply_queued_transformations(data)
else:
tmpdata = data
shape = tmpdata.shape
dataset = nxdata.create_dataset("data", shape=(total,) + shape, dtype=numpy.float32, chunks=(1,) + shape, compression="gzip")
dataset.attrs["interpretation"] = "image"
dataset.attrs["signal"] = "1"
if self.sequential_file_mode:
for iid, imgkey in enumerate(self.sequential_file_list):
tmpfname = self.sequential_file_dict[imgkey]
try:
img = fabio.open(tmpfname)
except:
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(tmpfname, dim1, dim2, offset, bytecode, endian)
img.header = {'Info': 'No header information available in binary data blocks'}
else:
continue
self.progressBar.setValue((float(iid + 1) / (total)) * 100.)
self.log.appendPlainText('Converting and saving file %s. saving file number %d' % (tmpfname, iid))
QCoreApplication.processEvents()
if self.transform_data_series:
tmpdata = self.apply_queued_transformations(img.data)
else:
tmpdata = img.data
dataset[iid] = tmpdata
else:
for iid, data in enumerate(self.data_series):
self.log.appendPlainText('Saving file number %d' % iid)
self.progressBar.setValue((float(iid + 1) / (total)) * 100.)
QCoreApplication.processEvents()
if self.transform_data_series:
tmpdata = self.apply_queued_transformations(data)
else:
tmpdata = data
dataset[iid] = tmpdata
self.statusBar().clear()
self.progressBar.setValue(0)
self.log.appendPlainText('Hdf5 Recording: Complete')
def add_extention_if_absent(self, fname, format_):
posslash = fname.rfind("/")
posdot = fname.rfind(".")
if posdot > posslash:
return fname
else:
return fname + format_[1:]
def convert_and_write(self, fname, format_, data, header):
if format_ == '*.bin':
out = open(fname, mode="wb")
out.write(data.tostring())
out.close()
return
elif format_ == '*.marccd':
out = fabio.marccdimage.marccdimage(data=data, header=header)
elif format_ == '*.edf':
out = fabio.edfimage.edfimage(data=data, header=header)
elif format_ == '*.tiff':
out = fabio.tifimage.tifimage(data=data, header=header)
elif format_ == '*.cbf':
out = fabio.cbfimage.cbfimage(data=data, header=header)
elif format_ in ['*.mar3450', '*.mar2300']:
data = self.padd_mar(data, format_)
out = fabio.mar345image.mar345image(data=data, header=header)
elif format_ == '*.img':
out = fabio.OXDimage.OXDimage(data=data, header=header)
elif format_ == '*.sfrm':
out = fabio.brukerimage.brukerimage(data=data, header=header)
else:
raise Warning("Unknown format: %s" % format_)
self.statusBar().showMessage('Writing file %s to %s format, please wait ...' % (fname, format_[2:]))
self.log.appendPlainText('Writing file %s to %s format' % (fname, format_[2:]))
QCoreApplication.processEvents()
out.write(fname)
self.statusBar().clearMessage()
def remove_extention_if_present(self, fname):
posslash = fname.rfind("/")
posdot = fname.rfind(".")
if posdot > posslash:
return fname[:posdot]
else:
return fname
def convert_and_write_multiple_files(self, fname, format_):
if self.sequential_file_mode:
total = len(self.sequential_file_list)
ii = 0
for imgkey in self.sequential_file_list:
tmpfname = self.sequential_file_dict[imgkey]
try:
img = fabio.open(tmpfname)
except:
QMessageBox.warning(self, 'Message', 'Automatic format recognition procedure failed or pehaps you are trying to open a binary data block...\n\n ...Switch to manual procedure ')
dial = BinDialog(self)
dim1, dim2, offset, bytecode, endian = dial.exec_()
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(tmpfname, dim1, dim2, offset, bytecode, endian)
img.header = {'Info':'No header information available in binary data blocks'}
else:
continue
self.progressBar.setValue((float(ii + 1) / (total)) * 100.)
self.log.appendPlainText('Converting file %s' % tmpfname)
QCoreApplication.processEvents()
if self.transform_data_series:
tmpdata = self.apply_queued_transformations(img.data)
else:
tmpdata = img.data
self.convert_and_write(('%s_%s%s' % (fname, self.counter_format, format_[1:])) % ii, format_, tmpdata, img.header)
ii += 1
else:
total = len(self.data_series)
for i in range(len(self.data_series)):
tmpdata = self.data_series[i]
tmpheader = self.header_series[i]
tmpfname = ('%s_%s%s' % (fname, self.counter_format, format_[1:])) % i
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Converting file %s' % i)
QCoreApplication.processEvents()
if self.transform_data_series:
tmpdata = self.apply_queued_transformations(tmpdata)
self.convert_and_write(tmpfname, format_, tmpdata, tmpheader)
self.progressBar.setValue(0)
self.log.appendPlainText('Convertion to %s: Complete' % format_[2:])
def extract_format_from_string(self, format_long):
for fmt in output_format:
if fmt in format_long:
return fmt
raise Warning("Unknown format: %s" % format_long)
#--------------------------------------------------------------------------------------------------------
# Transformation
#--------------------------------------------------------------------------------------------------------
def horizontal_mirror(self):
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('horizontal_mirror')
self.transform_list += ['horizontal_mirror']
self.log.appendPlainText('Add horizontal mirror to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
self.data_series[i] = numpy.flipud(self.data_series[i])[:]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying horizontal mirror to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = numpy.flipud(self.data)[:]
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.log.appendPlainText('Applying horizontal mirror to current data')
self.on_draw()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
self.progressBar.setValue(0)
def vertical_mirror(self):
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('vertical_mirror')
self.transform_list += ['vertical_mirror']
self.log.appendPlainText('Add vertical mirror to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
self.data_series[i] = numpy.fliplr(self.data_series[i])[:]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying vertical mirror to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = numpy.fliplr(self.data)[:]
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.log.appendPlainText('Applying vertical mirror to current data')
self.on_draw()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
self.progressBar.setValue(0)
def transposition(self):
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('transposition')
self.transform_list += ['transposition']
self.log.appendPlainText('Add transposition to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
self.data_series[i] = self.data_series[i].transpose()[:]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying transposition to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = self.data.transpose()[:]
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.log.appendPlainText('Applying transposition to current data')
self.on_draw()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
self.progressBar.setValue(0)
def rotation_90(self):
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('rotation(+90)')
self.transform_list += ['rotation(+90)']
self.log.appendPlainText('Add + 90 rotation to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
self.data_series[i] = numpy.rot90(self.data_series[i])[:]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying + 90 rotation to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = numpy.rot90(self.data)[:]
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.log.appendPlainText('Applying + 90 rotation to current data')
self.on_draw()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
self.progressBar.setValue(0)
def rotation_180(self):
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('rotation(+180)')
self.transform_list += ['rotation(+180)']
self.log.appendPlainText('Add + 180 rotation to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
self.data_series[i] = numpy.rot90(self.data_series[i], 2)[:]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying + 180 rotation to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = numpy.rot90(self.data, 2)[:]
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.log.appendPlainText('Applying + 180 rotation to current data')
self.on_draw()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
self.progressBar.setValue(0)
def rotation_270(self):
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('rotation(-90)')
self.transform_list += ['rotation(-90)']
self.log.appendPlainText('Add - 90 rotation to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
self.data_series[i] = numpy.rot90(self.data_series[i], 3)[:]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying - 90 rotation to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = numpy.rot90(self.data, 3)[:]
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.log.appendPlainText('Applying - 90 rotation to current data')
self.on_draw()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
self.progressBar.setValue(0)
def mask(self):
fname = QFileDialog.getOpenFileName(self, 'Select and import a boolean mask from binary data block file')
fname = str(fname)
if fname:
dial = BinDialog(self)
dim1, dim2, offset, bytecode, endian = dial.exec_()
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(fname, dim1, dim2, offset, bytecode, endian)
self.mask = img.data[:]
if self.transform_data_series:
if self.sequential_file_mode:
self.transformation_queue.addItem('masking')
self.transform_list += ['masking']
self.log.appendPlainText('Add masking to transformations queue')
QCoreApplication.processEvents()
else:
total = len(self.data_series)
if not total:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
return
for i in range(len(self.data_series)):
if self.data_series[i].shape != self.mask.shape:
QMessageBox.warning(self, 'Warning', "Mask and image have different shapes, skipping image %d" % i)
self.log.appendPlainText('Mask and image have different shapes, skipping image %d' % i)
else:
self.data_series[i] = self.mask * self.data_series[i]
self.progressBar.setValue((float(i + 1) / (total)) * 100.)
self.log.appendPlainText('Applying mask to data series: image %d' % i)
QCoreApplication.processEvents()
iid = self.imgDict[str(self.images_list.currentText())]
self.select_new_image(None, imgID=iid)
else:
if self.data.any():
self.data = self.mask * self.data
iid = self.imgDict[str(self.images_list.currentText())]
self.data_series[iid] = self.data[:]
self.on_draw()
self.statusBar().showMessage('Binary boolean mask loaded and applied', 2000)
self.log.appendPlainText('Binary boolean mask loaded and applied')
QCoreApplication.processEvents()
else:
QMessageBox.warning(self, 'Warning', "Could not transform image if no data have been loaded")
else:
return
self.progressBar.setValue(0)
def apply_queued_transformations(self, data):
transformations = ['horizontal_mirror', 'vertical_mirror', 'transposition', 'rotation(+90)', 'rotation(+180)', 'rotation(-90)', 'masking', 'downsampling']
for t in self.transform_list:
if t in transformations:
if t == 'horizontal_mirror':
data = numpy.flipud(data)[:]
self.log.appendPlainText('horizontal_mirror Done')
elif t == 'vertical_mirror':
data = numpy.fliplr(data)[:]
self.log.appendPlainText('vertical_mirror Done')
elif t == 'transposition':
data = data.transpose()[:]
self.log.appendPlainText('transposition Done')
elif t == 'rotation(+90)':
data = numpy.rot90(data)[:]
self.log.appendPlainText('rotation(+90) Done')
elif t == 'rotation(+180)':
data = numpy.rot90(data, 2)[:]
self.log.appendPlainText('rotation(+180) Done')
elif t == 'rotation(-90)':
data = numpy.rot90(data, 3)[:]
self.log.appendPlainText('rotation(-90) Done')
elif t == 'masking':
data = self.mask * data
self.log.appendPlainText('masking Done')
else:
raise Warning('Unknown transformation %s' % t)
return data
def transformation_options(self):
if self.transform_option_action.isChecked():
self.transform_data_series = True
else:
self.transform_data_series = False
def clear_transform_list(self):
self.transform_list = []
self.transformation_queue.clear()
def downsample(self):
dial = down_sampling_Dialog()
thick, start_angle, step_angle = dial.exec_()
if thick is not None:
info = QFileDialog.getSaveFileNameAndFilter(self, "Save downsampled data series as multiple files", QDir.currentPath(), filter=self.tr("binary data block (*.bin);;cbf image (*.cbf);;edf image (*.edf);;oxford diffraction image (*.img);;mar2300 image(*.mar2300);;mar3450 image (*.mar3450);;marccd image (*.marccd));;tiff image (*.tiff);;bruker image (*.sfrm)"))
if self.data_series or self.sequential_file_list:
if str(info[0]) != '' and str(info[1]) != '':
format_ = self.extract_format_from_string(str(info[1]))
fname = self.remove_extention_if_present(str(info[0]))
if self.sequential_file_mode:
total = len(self.sequential_file_list)
img = fabio.open(self.sequential_file_dict[self.sequential_file_list[0]])
stack = numpy.zeros_like(img.data)
t0 = time.time()
subtotal = (total // thick) * thick
for i in range(subtotal):
j = i % thick
k = i // thick
imgkey = self.sequential_file_list[i]
tmpfname = self.sequential_file_dict[imgkey]
try:
img = fabio.open(tmpfname)
except:
QMessageBox.warning(self, 'Message', 'Automatic format recognition procedure failed or pehaps you are trying to open a binary data block...\n\n ...Switch to manual procedure ')
dial = BinDialog(self)
dim1, dim2, offset, bytecode, endian = dial.exec_()
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(tmpfname, dim1, dim2, offset, bytecode, endian)
img.header = {'Info':'No header information available in binary data blocks'}
else:
continue
if img.data.shape != stack.shape:
self.log.appendPlainText("Error image shape: %s summed data shape: %s" % (img.data.shape, stack.shape))
continue
numpy.add(stack, img.data, stack)
self.progressBar.setValue((float(i + 1) / (subtotal)) * 100.)
self.log.appendPlainText('File %s stacked' % imgkey)
QCoreApplication.processEvents()
if j == thick - 1:
self.log.appendPlainText('stack number %d summing up' % k)
QCoreApplication.processEvents()
if format_ in ['*.mar3450', '*.mar2300']:
img.header["PHI_START"] = '%.3f' % (start_angle + step_angle * (i - thick + 1))
img.header["PHI_END"] = '%.3f' % (start_angle + step_angle * (i))
self.convert_and_write(('%s_%s%s' % (fname, self.counter_format, format_[1:])) % k, format_, stack, img.header)
t1 = time.time()
print('time: %s' % (t1 - t0))
stack = numpy.zeros_like(img.data)
t0 = time.time()
else:
total = len(self.data_series)
stack = numpy.zeros_like(self.data_series[0])
subtotal = (total // thick) * thick
for i in range(subtotal):
j = i % thick
k = i // thick
data = self.data_series[i]
if data.shape != stack.shape:
self.log.appendPlainText("Error image shape: %s summed data shape: %s" % (img.data.shape, stack.shape))
continue
numpy.add(stack, data, stack)
self.progressBar.setValue((float(i + 1) / (subtotal)) * 100.)
self.log.appendPlainText('File number %d stacked' % i)
QCoreApplication.processEvents()
if j == thick - 1:
self.log.appendPlainText('stack number %d summing up' % k)
QCoreApplication.processEvents()
if format_ in ['*.mar3450', '*.mar2300']:
self.header_series[i]["PHI_START"] = '%.3f' % (start_angle + step_angle * (i - thick + 1))
self.header_series[i]["PHI_END"] = '%.3f' % (start_angle + step_angle * (i))
self.convert_and_write(('%s_%s%s' % (fname, self.counter_format, format_[1:])) % k, format_, stack, self.header_series[i])
stack = numpy.zeros_like(data)
self.progressBar.setValue(0)
self.log.appendPlainText('Downsampling: Complete')
QCoreApplication.processEvents()
else:
if str(info[0]) != '' and str(info[1]) != '':
QMessageBox.warning(self, 'Warning', "Could not save image as file if no data have been loaded")
#--------------------------------------------------------------------------------------------------------
# Miscelaneous
#--------------------------------------------------------------------------------------------------------
def select_new_image(self, name, imgID=None):
if imgID is not None:
iid = imgID
else:
iid = self.imgDict[str(name)]
self.data = self.data_series[iid]
self.header = self.header_series[iid]
self.headerTextEdit.setPlainText(str(self.format_header(self.header)))
self.on_draw()
def on_pick(self, event):
if event.inaxes and self.data.any():
x = int(round(event.xdata))
y = int(round(event.ydata))
if x < self.data.shape[1] and y < self.data.shape[0]:
i = self.data[y, x]
self.pix_coords_label.setText("Pixel coordinates and intensity: x =%6d, y =%6d, i =%6g" % (x, y, i))
else:
self.pix_coords_label.setText("Pixel coordinates and intensity: x = None , y = None , i = None ")
else:
self.pix_coords_label.setText("Pixel coordinates and intensity: x = None , y = None , i = None ")
def on_draw(self):
""" Redraws the figure"""
self.statusBar().showMessage('Loading display ...')
QCoreApplication.processEvents()
# clear the axes and redraw a new plot
self.axes.clear()
# self.axes.imshow(numpy.log(numpy.clip(self.data,1.0e-12,1.0e260) ),interpolation = 'nearest')
self.axes.imshow(numpy.log(self.data), interpolation='nearest')
self.axes.set_visible(True)
if self.axes.get_ylim()[0] < self.axes.get_ylim()[1]:
self.axes.set_ylim(self.axes.get_ylim()[::-1])
self.canvas.draw()
self.statusBar().clearMessage()
def batch_to_view(self):
items = self.imagelistWidget.selectedItems()
iid = 0
item = items[0]
item = str(item.text())
hdfxtens = ['.h5', '.H5', '.hdf', '.HDF', 'hdf5', '.HDF5']
for xtens in hdfxtens:
if xtens in item:
QMessageBox.warning(self, 'Message', "Can't display hdf archive from batch mode ")
return
if self.sequential_file_mode:
self.data_series = []
self.header_series = []
self.imgDict = {}
self.images_list.clear()
self.headerTextEdit.clear()
self.axes.clear()
self.canvas.draw()
self.statusBar().showMessage('Import image %s in the View Mode tab, please wait ...' % item)
self.log.appendPlainText('Import image %s in the View Mode tab' % item)
QCoreApplication.processEvents()
fname = self.sequential_file_dict[item]
try:
img = fabio.open(fname)
except:
QMessageBox.warning(self, 'Message', 'Automatic format recognition procedure failed or pehaps you are trying to open a binary data block...\n\n ...Switch to manual procedure ')
dial = BinDialog(self)
dim1, dim2, offset, bytecode, endian = dial.exec_()
if dim1 is not None and dim2 is not None:
if endian == 'Short':
endian = '<'
else:
endian = '>'
img = fabio.binaryimage.binaryimage()
img.read(fname, dim1, dim2, offset, bytecode, endian)
img.header = {'Info': 'No header information available in binary data blocks'}
else:
return
self.data_series += [img.data[:]]
self.header_series += [img.header.copy()]
extract_fname = self.extract_fname_from_path(fname)
self.images_list.addItem(extract_fname)
self.imgDict[extract_fname] = iid
iid += 1
self.statusBar().clearMessage()
if self.data_series:
self.select_new_image(None, imgID=0)
self.tabWidget.setCurrentIndex(0)
def set_counter_format_option(self):
dial = counter_format_option_Dialog(self.counter_format)
self.counter_format = dial.exec_()
def padd_mar(self, data, format_):
dim1, dim2 = data.shape
if format_ == '*.mar2300':
size = 2300
else:
size = 3450
left = (size - dim1) // 2
right = size - (dim1 + left)
up = (size - dim2) // 2
down = size - (dim2 + up)
out = numpy.zeros((size, size))
if left > 0: # pad
outlm = left
inlm = 0
else: # crop
outlm = 0
inlm = -left
if right > 0: # pad
outrm = -right
inrm = dim1
else: # crop
outrm = size
inrm = right
if up > 0: # pad
outum = up
inum = 0
else: # crop
outum = 0
inum = -up
if down > 0: # pad
outdm = -down
indm = dim2
else: # crop
outdm = size
indm = down
out[outlm:outrm, outum:outdm] = data[inlm:inrm, inum:indm]
return out
def sequential_option(self, state):
if not self.h5_loaded:
if state == Qt.Checked:
self.sequential_file_mode = True
else:
self.sequential_file_mode = False
else:
self.filecheckBox.stateChanged.disconnect()
self.filecheckBox.setCheckState(False)
self.sequential_file_mode = False
self.filecheckBox.stateChanged.connect(self.sequential_option)
QMessageBox.warning(self, 'Message', 'Sequential file mode is not compatible with hdf5 input file: option removed')
#--------------------------------------------------------------------------------------------------------
# Main Frame
#--------------------------------------------------------------------------------------------------------
def create_main_frame(self):
self.tabWidget = QTabWidget()
tab1 = QWidget()
self.tabWidget.addTab(tab1, "View Mode")
tab2 = QWidget()
self.tabWidget.addTab(tab2, "Batch Mode")
#--------------------------------------------------------------------------------------------------------
# Tab 1
#--------------------------------------------------------------------------------------------------------
# Create the mpl Figure and FigCanvas objects.
# 100 dots-per-inch
self.dpi = 100
# self.fig = Figure((100, 100), dpi=self.dpi)
self.fig = Figure(dpi=self.dpi)
self.canvas = FigureCanvas(self.fig)
self.canvas.setParent(tab1)
# Since we have only one plot, we can use add_axes
# instead of add_subplot, but then the subplot
# configuration tool in the navigation toolbar wouldn't
# work.
#
self.axes = self.fig.add_subplot(111)
self.axes.set_visible(False)
# Bind the 'pick' event for clicking on one of the bars
self.canvas.mpl_connect('motion_notify_event', self.on_pick)
# Create the navigation toolbar, tied to the canvas
self.mpl_toolbar = NavigationToolbar(self.canvas, tab1, coordinates=False)
# Other GUI controls
selector_label = QLabel('Active Image:')
self.images_list = QComboBox(self)
self.images_list.activated[str].connect(self.select_new_image)
viewer_label = QLabel("Images Viewer: ", self)
self.pix_coords_label = QLabel("Pixel coordinates and intensity: x = None , y = None , i = None ", self)
self.mpl_toolbar.addWidget(self.pix_coords_label)
self.headerTextEdit = QPlainTextEdit(tab1)
self.headerTextEdit.setReadOnly(True)
# Layout with box sizers
header_vbox = QVBoxLayout()
header_label = QLabel("Header Info:", self)
header_vbox.addWidget(header_label)
header_vbox.addWidget(self.headerTextEdit)
hbox = QHBoxLayout()
hbox.addWidget(selector_label, alignment=Qt.AlignRight)
hbox.addWidget(self.images_list)
vbox = QVBoxLayout()
vbox.addWidget(viewer_label, alignment=Qt.AlignVCenter)
vbox.addWidget(self.canvas, alignment=Qt.AlignVCenter)
vbox.addWidget(self.mpl_toolbar, alignment=Qt.AlignVCenter)
vbox.addLayout(hbox)
left = QWidget()
right = QWidget()
left.setLayout(header_vbox)
right.setLayout(vbox)
splitter = QSplitter(Qt.Horizontal)
splitter.addWidget(left)
splitter.addWidget(right)
Bighbox = QHBoxLayout()
Bighbox.addWidget(splitter)
tab1.setLayout(Bighbox)
#--------------------------------------------------------------------------------------------------------
# Tab 2
#--------------------------------------------------------------------------------------------------------
imagelistvbox = QVBoxLayout()
imagelistlabel = QLabel(tab2)
imagelistlabel.setText("Images List:")
self.imagelistWidget = QListWidget(tab2)
import_view_button = QPushButton('Export image to View Mode', tab2)
import_view_button.clicked.connect(self.batch_to_view)
imagelistvbox.addWidget(imagelistlabel)
imagelistvbox.addWidget(self.imagelistWidget)
imagelistvbox.addWidget(import_view_button)
rightsidevbox = QVBoxLayout()
optiongroupBox = QGroupBox(tab2)
optiongroupBox.setTitle("File Modes:")
optionbox = QVBoxLayout()
self.butttonGroup = QButtonGroup()
self.filecheckBox = QCheckBox()
self.filecheckBox.setText("Sequential access (for large data series)")
self.filecheckBox.stateChanged.connect(self.sequential_option)
self.butttonGroup.addButton(self.filecheckBox)
self.filecheckBox2 = QCheckBox()
self.filecheckBox2.setText("Direct access (all images are store in memory simultaneously)")
self.filecheckBox2.setChecked(True)
self.butttonGroup.addButton(self.filecheckBox2)
self.butttonGroup.setExclusive(True)
optionbox.addWidget(self.filecheckBox)
optionbox.addWidget(self.filecheckBox2)
optiongroupBox.setLayout(optionbox)
rightsidevbox.addWidget(optiongroupBox)
splitter3 = QSplitter(Qt.Vertical)
queuegroupBox = QGroupBox(tab2)
queuegroupBox.setTitle("Transformations Queue:")
queuebox = QVBoxLayout()
self.transformation_queue = QListWidget(tab2)
queuebox.addWidget(self.transformation_queue)
clear_trans_list_button = QPushButton('Clear Transformation List', tab2)
clear_trans_list_button.clicked.connect(self.clear_transform_list)
queuebox.addWidget(clear_trans_list_button)
queuegroupBox.setLayout(queuebox)
splitter3.addWidget(queuegroupBox)
loggroupBox = QGroupBox(tab2)
loggroupBox.setTitle("Log View:")
logbox = QHBoxLayout()
self.log = QPlainTextEdit()
logbox.addWidget(self.log)
loggroupBox.setLayout(logbox)
splitter3.addWidget(loggroupBox)
splitter3.setStretchFactor(1, 1)
rightsidevbox.addWidget(splitter3)
self.progressBar = QProgressBar(tab2)
self.progressBar.setProperty("value", 0)
rightsidevbox.addWidget(self.progressBar)
left2 = QWidget()
right2 = QWidget()
left2.setLayout(imagelistvbox)
right2.setLayout(rightsidevbox)
splitter2 = QSplitter(Qt.Horizontal)
splitter2.addWidget(left2)
splitter2.addWidget(right2)
splitter2.setStretchFactor(1, 2)
Bighbox2 = QHBoxLayout()
Bighbox2.addWidget(splitter2)
tab2.setLayout(Bighbox2)
self.setCentralWidget(self.tabWidget)
def create_status_bar(self):
self.status_text = QLabel('')
self.statusBar().addWidget(self.status_text, 1)
self.statusBar().showMessage('Thanks for using FabIO viewer.', 5000)
def on_about(self):
msg = [__doc__,
"",
"Version: \t\t%s" % __version__,
"FabIO version: \t%s" % fabio.version,
"Author: \t\t%s" % __author__,
"Copyright: \t\t%s" % __copyright__,
"License: \t\t%s" % __licence__]
QMessageBox.about(self, "About FabIO Viewer", os.linesep.join(msg))
#--------------------------------------------------------------------------------------------------------
# Menu
#--------------------------------------------------------------------------------------------------------
def create_menu(self):
#0----------------------------------------------
self.file_menu = self.menuBar().addMenu("&File")
#1----------------------------------------------
self.open_menu = self.file_menu.addMenu("&Open")
#2----------------------------------------------
load_data_series_action = self.create_action("&Image(s)",
shortcut="", slot=self.open_data_series,
tip="Load single file and data series (files sequence)")
self.add_actions(self.open_menu, (load_data_series_action,))
#2----------------------------------------------
load_h5_data_series_action = self.create_action("&Hdf5 data series",
shortcut="", slot=self.open_h5_data_series,
tip="Load single file and data series (files sequence)")
self.add_actions(self.open_menu, (load_h5_data_series_action,))
#1----------------------------------------------
self.save_as_menu = self.file_menu.addMenu("&Save")
#2----------------------------------------------
save_as_action = self.create_action("&Active image", slot=self.save_as,
shortcut="", tip="Save/Convert the image which is currently displayed")
self.add_actions(self.save_as_menu, (save_as_action,))
#2----------------------------------------------
self.save_data_series_menu = self.save_as_menu.addMenu("&Data series as")
#3----------------------------------------------
save_data_series_as_multiplefile_action = self.create_action("&Multiple files", slot=self.save_data_series_as_multiple_file,
shortcut="", tip="Save/Convert the set of images currently loaded into the images list")
self.add_actions(self.save_data_series_menu, (save_data_series_as_multiplefile_action,))
#3----------------------------------------------
save_data_series_as_singlehdf_action = self.create_action("&Hdf5 archive", slot=self.save_data_series_as_singlehdf,
shortcut="", tip="Save/Convert the set of images currently loaded into the images list")
self.add_actions(self.save_data_series_menu, (save_data_series_as_singlehdf_action,))
#1----------------------------------------------
quit_action = self.create_action("&Quit", slot=self.close,
shortcut="Ctrl+Q", tip="Close the application")
self.add_actions(self.file_menu, (quit_action,))
#1----------------------------------------------
self.transform_menu = self.menuBar().addMenu("&Transform")
#2----------------------------------------------
self.mirror_menu = self.transform_menu.addMenu("&Mirror")
#3----------------------------------------------
horizontal_mirror_action = self.create_action("&Horizontal",
shortcut='', slot=self.horizontal_mirror,
tip="Horizontal mirror")
self.add_actions(self.mirror_menu, (horizontal_mirror_action,))
#3 ----------------------------------------------
vertical_mirror_action = self.create_action("&Vertical",
shortcut='', slot=self.vertical_mirror,
tip="Vertical mirror")
self.add_actions(self.mirror_menu, (vertical_mirror_action,))
#3----------------------------------------------
transposition_action = self.create_action("&Transposition",
shortcut='', slot=self.transposition,
tip="Transposition")
self.add_actions(self.mirror_menu, (transposition_action,))
#2----------------------------------------------
self.rotation_menu = self.transform_menu.addMenu("&Rotation")
#3----------------------------------------------
rotation_90_action = self.create_action("+90",
shortcut='', slot=self.rotation_90,
tip="Rotation of +90 degrees (counter-clockwise)")
self.add_actions(self.rotation_menu, (rotation_90_action,))
#3----------------------------------------------
rotation_180_action = self.create_action("+180",
shortcut='', slot=self.rotation_180,
tip="Rotation of +180 degrees (counter-clockwise)")
self.add_actions(self.rotation_menu, (rotation_180_action,))
#3----------------------------------------------
rotation_270_action = self.create_action("- 90",
shortcut='', slot=self.rotation_270,
tip="Rotation of -90 degrees (counter-clockwise)")
self.add_actions(self.rotation_menu, (rotation_270_action,))
#2----------------------------------------------
import_mask_action = self.create_action("&Mask",
shortcut='', slot=self.mask,
tip="Import a mask from file and apply it to image(s)")
self.add_actions(self.transform_menu, (import_mask_action,))
#2----------------------------------------------
downsample_action = self.create_action("&Downsample",
shortcut='', slot=self.downsample,
tip="Summation over groups of images")
self.add_actions(self.transform_menu, (downsample_action,))
#2----------------------------------------------
self.transform_option_action = self.create_action("&Apply transform to the whole data series",
shortcut='', slot=self.transformation_options,
tip="Define if transformations are Applied to the whole data series (checked) or only to the active image (unchecked) ")
self.transform_option_action.setCheckable(True)
self.add_actions(self.transform_menu, (self.transform_option_action,))
#0----------------------------------------------
self.options = self.menuBar().addMenu("&Options")
#1----------------------------------------------
about_action = self.create_action("&Counter format",
shortcut='', slot=self.set_counter_format_option,
tip='Allow to define the format for the counter in multiple saving')
self.add_actions(self.options, (about_action,))
#0----------------------------------------------
self.help_menu = self.menuBar().addMenu("&Help")
#1----------------------------------------------
about_action = self.create_action("&About",
shortcut='F1', slot=self.on_about,
tip='About Images Converter')
self.add_actions(self.help_menu, (about_action,))
def add_actions(self, target, actions):
for action in actions:
if action is None:
target.addSeparator()
else:
target.addAction(action)
def create_action(self, text, slot=None, shortcut=None, icon=None, tip=None, checkable=False, signal="triggered"):
action = QAction(text, self)
if icon is not None:
action.setIcon(QIcon(":/%s.png" % icon))
if shortcut is not None:
action.setShortcut(shortcut)
if tip is not None:
action.setToolTip(tip)
action.setStatusTip(tip)
if slot is not None:
# bug debian6: AttributeError: 'QAction' object has no attribute '__getattr__'
# action.__getattr__(signal).connect(slot)
getattr(action, signal).connect(slot)
if checkable:
action.setCheckable(True)
return action
#--------------------------------------------------------------------------------------------------------
# External top level window class
#--------------------------------------------------------------------------------------------------------
class counter_format_option_Dialog(QDialog): # option doivent refleter l etat des couche du dessous
"""Dialog containing entry for down sampling"""
def __init__(self, counter_format, parent=None):
QDialog.__init__(self, parent)
self.resize(350, 100)
self.setWindowTitle('Options')
self.counter_format = counter_format
buttonBox = QDialogButtonBox(self)
buttonBox.setGeometry(QRect(0, 60, 341, 32))
buttonBox.setOrientation(Qt.Horizontal)
buttonBox.setStandardButtons(QDialogButtonBox.Cancel | QDialogButtonBox.Ok)
label = QLabel(self)
label.setGeometry(QRect(38, 23, 181, 16))
label.setText("File Counter format:")
self.lineEdit = QLineEdit(self)
self.lineEdit.setGeometry(QRect(175, 18, 113, 25))
self.lineEdit.setText(counter_format)
buttonBox.accepted.connect(self.accept)
buttonBox.rejected.connect(self.reject)
def exec_(self):
if QDialog.exec_(self) == QDialog.Accepted:
if str(self.lineEdit.text()) != '':
return str(self.lineEdit.text())
else:
QMessageBox.warning(self, 'Warning', "All informations are mandatory, please fill the blanks")
else:
return self.counter_format
class down_sampling_Dialog(QDialog):
"""Dialog containing entry for down sampling"""
def __init__(self, parent=None):
QDialog.__init__(self, parent)
self.resize(407, 250)
self.setWindowTitle('Downsampling')
buttonBox = QDialogButtonBox(self)
buttonBox.setGeometry(QRect(45, 200, 341, 32))
buttonBox.setOrientation(Qt.Horizontal)
buttonBox.setStandardButtons(QDialogButtonBox.Cancel | QDialogButtonBox.Ok)
label = QLabel(self)
label.setGeometry(QRect(38, 63, 181, 16))
label.setText("Number of files to sum up:")
self.lineEdit = QLineEdit(self)
self.lineEdit.setGeometry(QRect(220, 58, 113, 25))
label2 = QLabel(self)
label2.setGeometry(QRect(90, 100, 131, 20))
label2.setText("Starting Phi angle:")
self.lineEdit2 = QLineEdit(self)
self.lineEdit2.setGeometry(QRect(220, 95, 113, 25))
label3 = QLabel(self)
label3.setGeometry(QRect(151, 133, 101, 16))
label3.setText("Phi step:")
self.lineEdit3 = QLineEdit(self)
self.lineEdit3.setGeometry(QRect(219, 130, 113, 25))
buttonBox.accepted.connect(self.accept)
buttonBox.rejected.connect(self.reject)
def exec_(self):
if QDialog.exec_(self) == QDialog.Accepted:
if str(self.lineEdit.text()) != '' and str(self.lineEdit2.text()) != '' and str(self.lineEdit3.text()) != '':
return int(str(self.lineEdit.text())), float(str(self.lineEdit2.text())), float(str(self.lineEdit3.text()))
else:
QMessageBox.warning(self, 'Warning', "All informations are mandatory, please fill the blanks")
else:
return None, None, None
class BinDialog(QDialog):
"""Dialog containing entry for binary data block opening"""
def __init__(self, parent=None):
QDialog.__init__(self, parent)
self.resize(410, 270)
self.setWindowTitle("Binary data block opening")
self.dim1 = None
self.dim2 = None
self.offset = None
self.bytecode = None
self.endian = None
buttonBox = QDialogButtonBox(self)
buttonBox.setGeometry(QRect(50, 230, 341, 32))
buttonBox.setOrientation(Qt.Horizontal)
buttonBox.setStandardButtons(QDialogButtonBox.Cancel | QDialogButtonBox.Ok)
groupBox = QGroupBox(self)
groupBox.setGeometry(QRect(10, 10, 370, 191))
groupBox.setTitle("Binary data block required informations:")
label = QLabel(self)
label.setGeometry(QRect(67, 48, 91, 16))
label.setText("Dimention 1:")
label_2 = QLabel(self)
label_2.setGeometry(QRect(66, 76, 91, 16))
label_2.setText("Dimention 2:")
self.lineEdit = QLineEdit(self)
self.lineEdit.setGeometry(QRect(185, 40, 91, 25))
self.lineEdit_2 = QLineEdit(self)
self.lineEdit_2.setGeometry(QRect(185, 70, 91, 25))
label_5 = QLabel(self)
label_5.setGeometry(QRect(105, 106, 51, 16))
label_5.setText("Offset:")
self.lineEdit_3 = QLineEdit(self)
self.lineEdit_3.setGeometry(QRect(184, 100, 91, 25))
self.lineEdit_3.setText('0')
label_3 = QLabel(groupBox)
label_3.setGeometry(QRect(70, 130, 91, 16))
label_3.setText("ByteCode:")
self.comboBox = QComboBox(groupBox)
self.comboBox.setGeometry(QRect(173, 123, 91, 25))
bytecodes = ["int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64", "float32", "float64"]
for bytecode in bytecodes:
self.comboBox.addItem(_fromUtf8(bytecode))
self.comboBox.setCurrentIndex(2)
label_4 = QLabel(self)
label_4.setGeometry(QRect(98, 170, 61, 16))
label_4.setText("Endian:")
self.comboBox_2 = QComboBox(self)
self.comboBox_2.setGeometry(QRect(182, 166, 91, 25))
self.comboBox_2.addItem(_fromUtf8("Short"))
self.comboBox_2.addItem(_fromUtf8("Long"))
buttonBox.rejected.connect(self.cancel)
buttonBox.accepted.connect(self.binary_block_info)
def binary_block_info(self):
if str(self.lineEdit.text()) != '' and str(self.lineEdit_2.text()) != '' and str(self.lineEdit_3.text()) != '':
self.dim1 = int(str(self.lineEdit.text()))
self.dim2 = int(str(self.lineEdit_2.text()))
self.offset = int(str(self.lineEdit_3.text()))
else:
QMessageBox.warning(self, 'Warning', "All informations are mandatory, please fill the blanks")
return
self.bytecode = str(self.comboBox.currentText())
self.endian = str(self.comboBox_2.currentText())
self.accept()
def cancel(self):
self.close()
def exec_(self):
if QDialog.exec_(self) == QDialog.Accepted:
return self.dim1, self.dim2, self.offset, self.bytecode, self.endian
else:
return None, None, None, None, None
#--------------------------------------------------------------------------------------------------------
# Main
#--------------------------------------------------------------------------------------------------------
def main():
parser = ArgumentParser(prog="fabio_viewer", usage="fabio_viewer img1 img2 ... imgn",
description=__doc__,
epilog="Based on FabIO version %s" % fabio.version)
parser.add_argument("images", nargs="*")
parser.add_argument("-V", "--version", action='version', version=__version__, help="Print version & quit")
args = parser.parse_args()
QApplication.setStyle(QStyleFactory.create("Cleanlooks"))
app = QApplication([])
form = AppForm()
if args.images:
form.open_data_series(args.images)
form.show()
sys.exit(app.exec_())
if __name__ == "__main__":
main()
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