def get_2_98_percent(self, sizeX, sizeY, histogram):
# get 2 - 98 %
logger.debug("sizeX: {}, sizeY: {}".format(sizeX, sizeY))
nb_pixels = sizeX * sizeY
logger.debug("nb_pixels: {}".format(nb_pixels))
nb_pixels_2 = int(float(nb_pixels * 0.02))
nb_pixels_98 = int(float(nb_pixels * 0.98))
logger.debug("nb_pixels_2: {}, nb_pixels_98: {}".format(
nb_pixels_2, nb_pixels_98))
hist_cum = cumsum(histogram)
# logger.debug("histogram {}".format(histogram))
# logger.debug("hist cum {}".format(hist_cum))
# logger.debug("len(hist_cum) {}".format(len(hist_cum)))
self.x_min = 0
self.x_max = len(hist_cum)
hist_cum[-1] + self.rasterMin
for index in range(0, len(hist_cum) - 1):
if hist_cum[index + 1] > nb_pixels_2 and self.x_min == 0:
self.x_min = index + self.rasterMin
if hist_cum[index + 1] > nb_pixels_98:
self.x_max = index + self.rasterMin
break
# logger.debug("self.x_min {}, self.x_max {}".format(self.x_min, self.x_max))
logger.debug("self.x_min: {}, self.x_max: {}".format(
self.x_min, self.x_max))
self.x_min = (self.x_min -
self.rasterMin) * self.bin_witdh + self.rasterMin
self.x_max = (self.x_max -
self.rasterMin) * self.bin_witdh + self.rasterMin
self.two_min = self.x_min
self.ninety_eight_max = self.x_max
# logger.debug("self.x_min {}, self.x_max {}".format(self.x_min, self.x_max))
if self.multiband:
dic = {"r": "red", "g": "green", "b": "blue"}
p = TerreImageParamaters()
if not p.is_complete():
exec("p." + dic[self.color] + "_min=" + str(self.x_min))
# logger.debug("p.{} _min= {}".format(dic[self.color], str(self.x_min)))
exec("p." + dic[self.color] + "_max=" + str(self.x_max))
def onWriteProject(self, domproject):
if ProcessingManager().working_layer is None:
return
# QgsProject.instance().writeEntry( "QGISEducation", "/working_layer", self.qgis_education_manager.layer.source_file )
# # write band orders
# QgsProject.instance().writeEntry( "QGISEducation", "/working_layer_bands", str(self.qgis_education_manager.layer.bands) )
# logger.debug( str(self.qgis_education_manager.layer.bands) )
# QgsProject.instance().writeEntry( "QGISEducation", "/working_layer_type", self.qgis_education_manager.layer.type )
# QgsProject.instance().writeEntry( "QGISEducation", "/working_directory", self.qgis_education_manager.working_directory )
QgsProject.instance().writeEntry("QGISEducation", "/working_layer", ProcessingManager().working_layer.source_file)
# write band orders
QgsProject.instance().writeEntry("QGISEducation", "/working_layer_bands", str(ProcessingManager().working_layer.bands))
logger.debug(str(ProcessingManager().working_layer.bands))
QgsProject.instance().writeEntry("QGISEducation", "/working_layer_type", ProcessingManager().working_layer.type)
QgsProject.instance().writeEntry("QGISEducation", "/working_directory", self.educationWidget.qgis_education_manager.working_directory)
p = []
for process in ProcessingManager().get_processings():
p.append((process.processing_name, process.output_working_layer.get_source()))
# print "process", p
QgsProject.instance().writeEntry("QGISEducation", "/process", str(p))
QgsProject.instance().writeEntry("QGISEducation", "/index_group", self.constants.index_group)
if "Angle Spectral" in ProcessingManager().get_processings_name():
# delete rubberband
for item in self.iface.mapCanvas().scene().items():
# item is a rubberband
if isinstance(item, QgsRubberBand):
# get point
if item.size() > 0:
point = item.getPoint(0)
# print point
QgsProject.instance().writeEntryDouble("QGISEducation", "/angle_spectral_point_x", point.x())
QgsProject.instance().writeEntryDouble("QGISEducation", "/angle_spectral_point_y", point.y())
p = TerreImageParamaters()
if p.is_complete():
QgsProject.instance().writeEntryDouble("QGISEducation", "/red_x_min", p.red_min)
QgsProject.instance().writeEntryDouble("QGISEducation", "/red_x_max", p.red_max)
QgsProject.instance().writeEntryDouble("QGISEducation", "/green_x_min", p.green_min)
QgsProject.instance().writeEntryDouble("QGISEducation", "/green_x_max", p.green_max)
QgsProject.instance().writeEntryDouble("QGISEducation", "/blue_x_min", p.blue_min)
QgsProject.instance().writeEntryDouble("QGISEducation", "/blue_x_max", p.blue_max)
def onWriteProject(self, domproject):
if ProcessingManager().working_layer is None:
return
# QgsProject.instance().writeEntry( "QGISEducation", "/working_layer", self.qgis_education_manager.layer.source_file )
# # write band orders
# QgsProject.instance().writeEntry( "QGISEducation", "/working_layer_bands", str(self.qgis_education_manager.layer.bands) )
# logger.debug( str(self.qgis_education_manager.layer.bands) )
# QgsProject.instance().writeEntry( "QGISEducation", "/working_layer_type", self.qgis_education_manager.layer.type )
# QgsProject.instance().writeEntry( "QGISEducation", "/working_directory", self.qgis_education_manager.working_directory )
QgsProject.instance().writeEntry("QGISEducation", "/working_layer", ProcessingManager().working_layer.source_file)
# write band orders
QgsProject.instance().writeEntry("QGISEducation", "/working_layer_bands", str(ProcessingManager().working_layer.bands))
logger.debug("{}".format(ProcessingManager().working_layer.bands))
QgsProject.instance().writeEntry("QGISEducation", "/working_layer_type", ProcessingManager().working_layer.type)
QgsProject.instance().writeEntry("QGISEducation", "/working_directory", self.educationWidget.qgis_education_manager.working_directory)
p = []
for process in ProcessingManager().get_processings():
p.append((process.processing_name, process.output_working_layer.get_source()))
# logger.debug("process{}".format(p))
QgsProject.instance().writeEntry("QGISEducation", "/process", str(p))
QgsProject.instance().writeEntry("QGISEducation", "/index_group", self.constants.index_group)
if "Angle Spectral" in ProcessingManager().get_processings_name():
# delete rubberband
for item in self.iface.mapCanvas().scene().items():
# item is a rubberband
if isinstance(item, QgsRubberBand):
# get point
if item.size() > 0:
point = item.getPoint(0)
# logger.debug(point)
QgsProject.instance().writeEntryDouble("QGISEducation", "/angle_spectral_point_x", point.x())
QgsProject.instance().writeEntryDouble("QGISEducation", "/angle_spectral_point_y", point.y())
p = TerreImageParamaters()
if p.is_complete():
QgsProject.instance().writeEntryDouble("QGISEducation", "/red_x_min", p.red_min)
QgsProject.instance().writeEntryDouble("QGISEducation", "/red_x_max", p.red_max)
QgsProject.instance().writeEntryDouble("QGISEducation", "/green_x_min", p.green_min)
QgsProject.instance().writeEntryDouble("QGISEducation", "/green_x_max", p.green_max)
QgsProject.instance().writeEntryDouble("QGISEducation", "/blue_x_min", p.blue_min)
QgsProject.instance().writeEntryDouble("QGISEducation", "/blue_x_max", p.blue_max)
def get_2_98_percent(self, sizeX, sizeY, histogram):
# get 2 - 98 %
logger.debug("sizeX, sizeY" + str(sizeX) + " " + str(sizeY))
nb_pixels = sizeX * sizeY
logger.debug("nb_pixels: " + str(nb_pixels))
nb_pixels_2 = int(float(nb_pixels * 0.02))
nb_pixels_98 = int(float(nb_pixels * 0.98))
logger.debug("nb_pixels_2, nb_pixels_98: " + str(nb_pixels_2) + " " + str(nb_pixels_98))
hist_cum = cumsum(histogram)
# print "histogram", histogram
# print "hist cum", hist_cum
# print "len(hist_cum)", len(hist_cum)
self.x_min = 0
self.x_max = len(hist_cum)
hist_cum[-1] + self.rasterMin
for index in range(0, len(hist_cum) - 1):
if hist_cum[index + 1] > nb_pixels_2 and self.x_min == 0:
self.x_min = index + self.rasterMin
if hist_cum[index + 1] > nb_pixels_98:
self.x_max = index + self.rasterMin
break
# print "self.x_min, self.x_max", self.x_min, self.x_max
logger.debug("self.x_min, self.x_max" + str(self.x_min) + " " + str(self.x_max))
self.x_min = (self.x_min - self.rasterMin) * self.bin_witdh + self.rasterMin
self.x_max = (self.x_max - self.rasterMin) * self.bin_witdh + self.rasterMin
self.two_min = self.x_min
self.ninety_eight_max = self.x_max
# print "self.x_min, self.x_max", self.x_min, self.x_max
if self.multiband:
dic = {"r": "red", "g": "green", "b": "blue"}
p = TerreImageParamaters()
if not p.is_complete():
exec("p." + dic[self.color] + "_min=" + str(self.x_min))
# print "p." + dic[self.color] + "_min=" + str(self.x_min)
exec("p." + dic[self.color] + "_max=" + str(self.x_max))
def get_GDAL_histogram(self, image, band_number, qgis_layer, no_data=-1):
"""
From the given binary image, compute histogram and return the number of 1
"""
histogram = []
# logger.debug( "image: " + str(image) + " band: " + str(band_number) )
dataset = gdal.Open(image, gdal.GA_ReadOnly)
if dataset is None:
logger.error(u"Error: Opening file {}".format(image))
else:
# get raster band
band = dataset.GetRasterBand(band_number)
if no_data != -1:
band.SetNoDataValue(no_data)
# get raster and overview if available
overview = 2
if overview < band.GetOverviewCount():
band_overview = band.GetOverview(overview)
else:
band_overview = band
# get overview statistics
self.rasterMin, self.rasterMax, mean, stddev = band_overview.ComputeStatistics(
False)
# logger.debug(self.rasterMin, self.rasterMax, mean, stddev
logger.debug("self.rasterMax: {}, self.rasterMin: {}".format(
self.rasterMax, self.rasterMin))
nbVal = self.rasterMax - self.rasterMin
# logger.debug("nbVal {}".format(nbVal))
# taking the size of the raster
sizeX = float(band_overview.XSize)
sizeY = float(band_overview.YSize)
# logger.debug( "totalXSize {}".format(sizeX))
# logger.debug( "totalYSize {}".format(sizeY))
# computing nb bins
stddev_part = 3.5 * stddev
sizexy_part = math.pow(sizeX * sizeY, 1. / 3.)
# logger.debug( "stddev {}".format(stddev_part))
# logger.debug( "sizexy {}".format(sizexy_part))
# warning stddev
nb_bin_part = (3.5 * stddev) / (math.pow(sizeX * sizeY, 1. / 3.))
# logger.debug(nb_bin_part)
self.nb_bin = int(math.ceil(nbVal / nb_bin_part))
# logger.debug("nb_bin {}".format(self.nb_bin))
self.bin_witdh = float(self.rasterMax -
self.rasterMin) / self.nb_bin
# logger.debug("bin_width {}".format(self.bin_witdh))
histogram = band_overview.GetHistogram(
self.rasterMin - self.bin_witdh / 2,
self.rasterMax + self.bin_witdh / 2,
self.nb_bin,
approx_ok=0)
# logger.debug("histogram {}".format(histogram))
self.get_2_98_percent(sizeX, sizeY, histogram)
if self.multiband:
p = TerreImageParamaters()
if p.is_complete():
# logger.debug("here")
dic = {"r": "red", "g": "green", "b": "blue"}
exec("self.x_min=int(p." + dic[self.color] + "_min)")
exec("self.x_max=int(p." + dic[self.color] + "_max)")
# logger.debug(self.x_min, self.x_max)
return histogram
def get_GDAL_histogram(self, image, band_number, qgis_layer, no_data=-1):
"""
From the given binary image, compute histogram and return the number of 1
"""
histogram = []
# logger.debug( "image: " + str(image) + " band: " + str(band_number) )
dataset = gdal.Open(image, gdal.GA_ReadOnly)
if dataset is None:
print "Error: Opening file ", image
else:
# get raster band
band = dataset.GetRasterBand(band_number)
if no_data != -1:
band.SetNoDataValue(no_data)
# get raster and overview if available
overview = 2
if overview < band.GetOverviewCount():
band_overview = band.GetOverview(overview)
else:
band_overview = band
# get overview statistics
self.rasterMin, self.rasterMax, mean, stddev = band_overview.ComputeStatistics(False)
# print self.rasterMin, self.rasterMax, mean, stddev
logger.debug("self.rasterMax, self.rasterMin" + str(self.rasterMax) + " " + str(self.rasterMin))
nbVal = self.rasterMax - self.rasterMin
# print "nbVal", nbVal
# taking the size of the raster
sizeX = float(band_overview.XSize)
sizeY = float(band_overview.YSize)
# print "totalXSize", sizeX
# print "totalYSize", sizeY
# computing nb bins
stddev_part = 3.5 * stddev
sizexy_part = math.pow(sizeX * sizeY, 1. / 3.)
# print "stddev", stddev_part
# print "sizexy", sizexy_part
# warning stddev
nb_bin_part = (3.5 * stddev) / (math.pow(sizeX * sizeY, 1. / 3.))
# print nb_bin_part
self.nb_bin = int(math.ceil(nbVal / nb_bin_part))
# print "nb_bin", self.nb_bin
self.bin_witdh = float(self.rasterMax - self.rasterMin) / self.nb_bin
# print "bin_witdh", self.bin_witdh
histogram = band_overview.GetHistogram(self.rasterMin - self.bin_witdh / 2, self.rasterMax + self.bin_witdh / 2, self.nb_bin, approx_ok=0)
# print "histogram", histogram
self.get_2_98_percent(sizeX, sizeY, histogram)
if self.multiband:
p = TerreImageParamaters()
if p.is_complete():
# print "here"
dic = {"r": "red", "g": "green", "b": "blue"}
exec("self.x_min=int(p." + dic[self.color] + "_min)")
exec("self.x_max=int(p." + dic[self.color] + "_max)")
# print self.x_min, self.x_max
return histogram