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ul_px = coordinate2px(self.gt, min([cx0, cx1]), max([cy0, cy1]))
lr_px = coordinate2px(self.gt, max([cx0, cx1]), min([cy0, cy1]))
lr_px = [c+1 for c in lr_px] #+1
return self.readImageChip([ul_px[0], lr_px[0]], [ul_px[1], lr_px[1]], bands=bands)
def readImageChip(self, px_x, px_y, bands=[4,5,3]):
ds = gdal.Open(self.pathImg, gdal.GA_ReadOnly)
assert len(px_x) == 2 and px_x[0] <= px_x[1]
assert len(px_y) == 2 and px_y[0] <= px_y[1]
ns = px_x[1]-px_x[0]+1
nl = px_y[1]-px_y[0]+1
assert ns >= 0
assert nl >= 0
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src_ns = ds.RasterXSize
src_nl = ds.RasterYSize
chipdata = dict()
#pixel indices in source image
x0 = max([0, px_x[0]])
y0 = max([0, px_y[0]])
x1 = min([src_ns, px_x[1]])
y1 = min([src_nl, px_y[1]])
win_xsize = x1-x0+1
win_ysize = y1-y0+1
#pixel indices in image chip (ideally 0 and ns-1 or nl-1)
i0 = x0 - px_x[0]
i1 = i0 + win_xsize
j0 = y0 - px_y[0]
j1 = j0+ win_ysize
templateImg = np.zeros((nl,ns))
if self.nodata:
templateImg *= self.nodata
templateImg = templateImg.astype(self.getdtype())
templateMsk = np.ones((nl,ns), dtype='bool')
if win_xsize < 1 or win_ysize < 1:
six.print_('Selected image chip is out of raster image {}'.format(self.pathImg), file=sys.stderr)
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for i, b in enumerate(bands):
chipdata[b] = np.copy(templateImg)
else:
for i, b in enumerate(bands):
band = ds.GetRasterBand(b)
data = np.copy(templateImg)
data[j0:j1,i0:i1] = band.ReadAsArray(xoff=x0, yoff=y0, win_xsize=win_xsize,win_ysize=win_ysize)
chipdata[b] = data
nodatavalue = band.GetNoDataValue()
if nodatavalue is not None:
templateMsk[j0:j1,i0:i1] = np.logical_and(templateMsk[j0:j1,i0:i1], data[j0:j1,i0:i1] != nodatavalue)
if self.pathMsk:
ds = gdal.Open(self.pathMsk)
tmp = ds.GetRasterBand(1).ReadAsArray(xoff=x0, yoff=y0, \
win_xsize=win_xsize,win_ysize=win_ysize) == 0
templateMsk[j0:j1,i0:i1] = np.logical_and(templateMsk[j0:j1,i0:i1], tmp)
chipdata['mask'] = templateMsk
return chipdata
def __repr__(self):
return 'TS Datum {} {}'.format(self.date, str(self.sensor))
def __cmp__(self, other):
return cmp(str((self.date, self.sensor)), str((other.date, other.sensor)))
def __eq__(self, other):
return self.date == other.date and self.sensor == other.sensor
def __hash__(self):
return hash((self.date,self.sensor.sensor_name))
regYYYYDOY = re.compile(r'(19|20)\d{5}')
regYYYYMMDD = re.compile(r'(19|20)\d{2}-\d{2}-\d{2}')
match = regLandsatSceneID.search(text)
if match:
id = match.group()
return getDateTime64FromYYYYDOY(id[9:16])
match = regYYYYMMDD.search(text)
if match:
return np.datetime64(match.group())
match = regYYYY.search(text)
if match:
return np.datetime64(match.group())
def getDateTime64FromYYYYDOY(yyyydoy):
return getDateTime64FromDOY(yyyydoy[0:4], yyyydoy[4:7])
def getDateTime64FromDOY(year, doy):
if type(year) is str:
year = int(year)
if type(doy) is str:
doy = int(doy)
return np.datetime64('{:04d}-01-01'.format(year)) + np.timedelta64(doy-1, 'D')
class PictureTest(QMainWindow):
def __init__(self, parent=None, qImage=None):
super(PictureTest,self).__init__(parent)
self.setWindowTitle("Show Image with pyqt")
self.imageLabel=QLabel()
self.imageLabel.setSizePolicy(QSizePolicy.Ignored,QSizePolicy.Ignored)
self.setCentralWidget(self.imageLabel)
self.cv_img = None
if qImage:
self.addImage(qImage)
def addImage(self, qImage):
pxmap = QPixmap.fromImage(qImage)
self.addPixmap(pxmap)
def addPixmap(self, pixmap):
pxmap = pixmap.scaled(self.imageLabel.size(), Qt.KeepAspectRatio)
self.imageLabel.setPixmap(pxmap)
self.imageLabel.adjustSize()
self.imageLabel.update()
def addNumpy(self, data):
self.addImage(img)
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#self.resize(img.width(), img.height())
def getChip3d(chips, rgb_idx, ranges):
assert len(rgb_idx) == 3 and len(rgb_idx) == len(ranges)
for i in rgb_idx:
assert i in chips.keys()
nl, ns = chips[rgb_idx[0]].shape
a3d = np.ndarray((3,nl,ns), dtype='float')
for i, rgb_i in enumerate(rgb_idx):
range = ranges[i]
data = chips[rgb_i].astype('float')
data -= range[0]
data *= 255./range[1]
a3d[i,:] = data
np.clip(a3d, 0, 255, out=a3d)
return a3d.astype('uint8')
def Array2Image(d3d):
nb, nl, ns = d3d.shape
byteperline = nb
d3d = d3d.transpose([1,2,0]).copy()
return QImage(d3d.data, ns, nl, QImage.Format_RGB888)
class VerticalLabel(QLabel):
def __init__(self, text):
super(self.__class__, self).__init__()
self.text = text
def paintEvent(self, event):
painter = QPainter(self)
painter.setPen(Qt.black)
painter.translate(20, 100)
painter.rotate(-90)
if self.text:
painter.drawText(0, 0, self.text)
painter.end()
def minimumSizeHint(self):
size = QLabel.minimumSizeHint(self)
return QSize(size.height(), size.width())
def sizeHint(self):
size = QLabel.sizeHint(self)
return QSize(size.height(), size.width())
class ImageChipBuffer(object):
def __init__(self):
self.data = dict()
self.BBox = None
self.SRS = None
def hasDataCube(self, TSD):
return TSD in self.data.keys()
missing = missing - set(self.data[TSD].keys())
assert self.BBox is not None, 'Please initialize the bounding box first.'
if TSD not in self.data.keys():
self.data[TSD] = dict()
self.data[TSD].update(chipData)
def getDataCube(self, TSD):
return self.data.get(TSD)
def getChipArray(self, TSD, band_view, mode='rgb'):
assert mode in ['rgb', 'bgr']
bands = band_view.getBands(TSD.sensor)
band_ranges = band_view.getRanges(TSD.sensor)
nb = len(bands)
assert nb == 3 and nb == len(band_ranges)
assert TSD in self.data.keys(), 'Time Series Datum {} is not in buffer'.format(TSD.getDate())
chipData = self.data[TSD]
for b in bands:
assert b in chipData.keys()
nl, ns = chipData[bands[0]].shape
dtype= 'uint8'
if mode == 'rgb':
ch_dst = [0,1,2]
elif mode == 'bgr':
# r -> dst channel 2
# g -> dst channel 1
# b -> dst channel 0
ch_dst = [2,1,0]
for i, i_dst in enumerate(ch_dst):
offset = band_ranges[i][0]
scale = 255./band_ranges[i][1]
res = pg.rescaleData(chipData[bands[i]], scale, offset, dtype='float')
np.clip(res, 0, 255, out=res)
array_data[:,:,i_dst] = res
return array_data
bands = band_view.getBands(TSD.sensor)
band_ranges = band_view.getRanges(TSD.sensor)
assert TSD in self.data.keys(), 'Time Series Datum {} is not in buffer'.format(TSD.getDate())
for b in bands:
assert b in chipData.keys()
nl, ns = chipData[bands[0]].shape
rgb_data = np.ndarray((3,nl,ns), dtype='float')
for i, b in enumerate(bands):
range = band_ranges[i]
data = chipData[b].astype('float')
data -= range[0]
data *= 255./range[1]
rgb_data[i,:] = data
np.clip(rgb_data, 0, 255, out=rgb_data)
rgb_data = rgb_data.astype('uint8')
if band_view.useMaskValues():
rgb = band_view.getMaskColor()
is_masked = np.where(np.logical_not(chipData['mask']))
for i, c in enumerate(rgb):
rgb_data[i, is_masked[0], is_masked[1]] = c
return rgb_data
def getChipImage(self, date, view):
rgb = self.getChipRGB(date, view)
nb, nl, ns = rgb.shape
rgb = rgb.transpose([1,2,0]).copy('C')
return QImage(rgb.data, ns, nl, QImage.Format_RGB888)
def clear(self):
self.data.clear()
def setBoundingBox(self, BBox):
assert type(BBox) is ogr.Geometry
SRS = BBox.GetSpatialReference()
assert SRS is not None
if self.BBox is None or not self.BBox.Equals(BBox) or not self.SRS.IsSame(SRS):
self.data.clear()
self.BBox = BBox
self.SRS = SRS
def __repr__(self):
info = ['Chipbuffer']
info.append('Bounding Box: {}'.format(self.bbBoxWkt))
info.append('Chips: {}'.format(len(self.data)))
return '\n'.join(info)
list2str = lambda ll : '\n'.join([str(l) for l in ll])
"""QGIS Plugin Implementation."""
def __init__(self, iface):
"""Constructor.
:param iface: An interface instance that will be passed to this class
which provides the hook by which you can manipulate the QGIS
application at run time.
:type iface: QgsInterface
"""
# Save reference to the QGIS interface
self.iface = iface

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if isinstance(self.iface, qgis.gui.QgisInterface):
import console
console.show_console()
# initialize plugin directory
self.plugin_dir = os.path.dirname(__file__)
# initialize locale
locale = 'placeholder'
#locale = QSettings().value('locale/userLocale')[0:2]
locale_path = os.path.join(
self.plugin_dir,
'i18n',
'EnMAPBox_{}.qm'.format(locale))
if os.path.exists(locale_path):
self.translator = QTranslator()
self.translator.load(locale_path)
if qVersion() > '4.3.3':
QCoreApplication.installTranslator(self.translator)
# Create the dialog (after translation) and keep reference
self.dlg = SenseCarbon_TSVGui()
D = self.dlg
#init on empty time series
self.TS = None
self.init_TimeSeries()
self.ImageChipBuffer = ImageChipBuffer()
self.CHIPWIDGETS = collections.OrderedDict()
self.ValidatorPxX = QIntValidator(0,99999)
self.ValidatorPxY = QIntValidator(0,99999)
D.btn_showPxCoordinate.clicked.connect(lambda: self.ua_showPxCoordinate_start())
D.btn_selectByCoordinate.clicked.connect(self.ua_selectByCoordinate)
D.btn_selectByRectangle.clicked.connect(self.ua_selectByRectangle)
D.btn_addBandView.clicked.connect(lambda :self.ua_addBandView())
D.btn_addTSImages.clicked.connect(lambda :self.ua_addTSImages())
D.btn_addTSMasks.clicked.connect(lambda :self.ua_addTSMasks())
D.btn_loadTSFile.clicked.connect(self.ua_loadTSFile)
D.btn_saveTSFile.clicked.connect(self.ua_saveTSFile)
D.btn_addTSExample.clicked.connect(self.ua_loadExampleTS)
D.btn_labeling_clear.clicked.connect(D.tb_labeling_text.clear)
D.actionAdd_Images.triggered.connect(lambda :self.ua_addTSImages())
D.actionAdd_Masks.triggered.connect(lambda :self.ua_addTSMasks())
D.actionLoad_Time_Series.triggered.connect(self.ua_loadTSFile)
D.actionSave_Time_Series.triggered.connect(self.ua_saveTSFile)
D.actionLoad_Example_Time_Series.triggered.connect(self.ua_loadExampleTS)
D.actionAbout.triggered.connect( \
lambda: QMessageBox.about(self.dlg, 'SenseCarbon TimeSeriesViewer', 'A viewer to visualize raster time series data'))
D.btn_removeTSD.clicked.connect(lambda : self.ua_removeTSD(None))
D.btn_removeTS.clicked.connect(self.ua_clear_TS)
# Declare instance attributes
self.actions = []
#self.menu = self.tr(u'&EnMAP-Box')
self.RectangleMapTool = None
self.PointMapTool = None
self.canvas_srs = osr.SpatialReference()
#self.toolbar = self.iface.addToolBar(u'SenseCarbon TSV')
#self.toolbar.setObjectName(u'SenseCarbon TSV')
self.RectangleMapTool = qgis_add_ins.RectangleMapTool(self.canvas)
self.RectangleMapTool.rectangleDrawed.connect(self.ua_selectBy_Response)
self.PointMapTool.coordinateSelected.connect(self.ua_selectBy_Response)
#self.RectangleMapTool.connect(self.ua_selectByRectangle_Done)
self.ICP = self.dlg.scrollArea_imageChip_content.layout()
self.dlg.scrollArea_bandViews_content.setSizePolicy(QSizePolicy.MinimumExpanding, QSizePolicy.MinimumExpanding)
self.BVP = self.dlg.scrollArea_bandViews_content.layout()
def init_TimeSeries(self, TS=None):
if TS is None:
TS = TimeSeries()
assert type(TS) is TimeSeries
if self.TS is not None:
disconnect_signal(self.TS.datumAdded)
disconnect_signal(self.TS.progress)
disconnect_signal(self.TS.chipLoaded)
self.TS = TS
self.TS.datumAdded.connect(self.ua_datumAdded)
self.TS.progress.connect(self.ua_TSprogress)
self.TS.chipLoaded.connect(self.ua_showPxCoordinate_addChips)
TSM = TimeSeriesTableModel(self.TS)
D = self.dlg
D.tableView_TimeSeries.setModel(TSM)
D.tableView_TimeSeries.horizontalHeader().setResizeMode(QHeaderView.ResizeToContents)
D.cb_doi.setModel(TSM)
D.cb_doi.setModelColumn(0)
D.cb_doi.currentIndexChanged.connect(self.scrollToDate)
def ua_loadTSFile(self, path=None):
if path is None or path is False:
path = QFileDialog.getOpenFileName(self.dlg, 'Open Time Series file', '')
if os.path.exists(path):
M = self.dlg.tableView_TimeSeries.model()
M.beginResetModel()
self.ua_clear_TS()
self.TS.loadFromFile(path)
M.endResetModel()
self.refreshBandViews()
self.check_enabled()
def ua_saveTSFile(self):
path = QFileDialog.getSaveFileName(self.dlg, caption='Save Time Series file')
if path is not None:
self.TS.saveToFile(path)
def ua_loadExampleTS(self):
import sensecarbon_tsv
path_example = file_search(os.path.dirname(sensecarbon_tsv.__file__), 'testdata.txt', recursive=True)
if path_example is None or len(path_example) == 0:
QMessageBox.information(self.dlg, 'File not found', 'testdata.txt - this file describes an exemplary time series.')
else:
self.ua_loadTSFile(path=path_example[0])
if self.RectangleMapTool is not None:
self.canvas.setMapTool(self.RectangleMapTool)
if self.PointMapTool is not None:
self.canvas.setMapTool(self.PointMapTool)
def setCanvasSRS(self,srs):
if type(srs) is osr.SpatialReference:
self.canvas_srs = srs
else:
self.canvas_srs.ImportFromWkt(srs)
self.dlg.tb_bb_srs.setPlainText(self.canvas_srs.ExportToProj4())
def ua_selectBy_Response(self, geometry, srs_wkt):
D = self.dlg
x = D.spinBox_coordinate_x.value()
y = D.spinBox_coordinate_x.value()
dx = D.doubleSpinBox_subset_size_x.value()
dy = D.doubleSpinBox_subset_size_y.value()
self.setCanvasSRS(osr.GetUserInputAsWKT(str(srs_wkt)))
if type(geometry) is QgsRectangle:
center = geometry.center()
x = center.x()
y = center.y()
dx = geometry.xMaximum() - geometry.xMinimum()
dy = geometry.yMaximum() - geometry.yMinimum()
if type(geometry) is QgsPoint:
x = geometry.x()
y = geometry.y()
"""
ref_srs = self.TS.getSRS()
if ref_srs is not None and not ref_srs.IsSame(canvas_srs):
print('Convert canvas coordinates to time series SRS')
g = ogr.Geometry(ogr.wkbPoint)
g.AddPoint(x,y)
g.AssignSpatialReference(canvas_srs)
g.TransformTo(ref_srs)
D.doubleSpinBox_subset_size_x.setValue(dx)
D.doubleSpinBox_subset_size_y.setValue(dy)
D.spinBox_coordinate_x.setValue(x)
D.spinBox_coordinate_y.setValue(y)

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if D.cb_loadSubsetDirectly.isChecked():
self.ua_showPxCoordinate_start()
def ua_TSprogress(self, v_min, v, v_max):
assert v_min <= v and v <= v_max
if v_min < v_max:
P = self.dlg.progressBar
if P.minimum() != v_min or P.maximum() != v_max:
P.setRange(v_min, v_max)
else:
s = ""
P.setValue(v)
if self.dlg.spinBox_coordinate_x.value() == 0.0 and \
self.dlg.spinBox_coordinate_y.value() == 0.0:
xmin, ymin, xmax, ymax = self.TS.getMaxExtent(srs=self.canvas_srs)
self.dlg.spinBox_coordinate_x.setRange(xmin, xmax)
self.dlg.spinBox_coordinate_y.setRange(ymin, ymax)
#x, y = self.TS.getSceneCenter()
self.dlg.spinBox_coordinate_x.setValue(0.5*(xmin+xmax))
self.dlg.spinBox_coordinate_y.setValue(0.5*(ymin+ymax))
self.dlg.cb_doi.setCurrentIndex(int(len(self.TS) / 2))
self.dlg.tableView_TimeSeries.resizeColumnsToContents()
def check_enabled(self):
D = self.dlg
D.btn_showPxCoordinate.setEnabled(hasTS and hasTSV)
D.btn_selectByCoordinate.setEnabled(hasQGIS)
D.btn_selectByRectangle.setEnabled(hasQGIS)
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# noinspection PyMethodMayBeStatic
def tr(self, message):
"""Get the translation for a string using Qt translation API.
We implement this ourselves since we do not inherit QObject.
:param message: String for translation.
:type message: str, QString
:returns: Translated version of message.
:rtype: QString
"""
# noinspection PyTypeChecker,PyArgumentList,PyCallByClass
return QCoreApplication.translate('EnMAPBox', message)
def initGui(self):
"""Create the menu entries and toolbar icons inside the QGIS GUI."""
icon = QIcon(self.icon_path)
self.action = QAction(icon, self.tr(u'SenseCarbon Time Series Viewer'), self.iface.mainWindow())
self.action.triggered.connect(self.run)
#action.setEnabled(enabled_flag)
#add to toolbar:
self.iface.addToolBarIcon(self.action)
def ua_addTSD_to_QGIS(self, TSD, bands):
"""Removes the plugin menu item and icon """
self.iface.removeToolBarIcon(self.action)
def run(self):
"""Run method that performs all the real work"""
#self.dlg.setWindowIcon(QIcon(self.icon_path))
# show the GUI
self.dlg.show()

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def scrollToDate(self, date_of_interest):

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QApplication.processEvents()
HBar = self.dlg.scrollArea_imageChips.horizontalScrollBar()
TSDs = list(self.CHIPWIDGETS.keys())
if len(TSDs) == 0:

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return
#get date INDEX that is closest to requested date
if type(date_of_interest) is str:
date_of_interest = np.datetime64(date_of_interest)
if type(date_of_interest) is np.datetime64:
i_doi = TSDs.index(sorted(TSDs, key=lambda TSD: abs(date_of_interest - TSD.getDate()))[0])
else:
i_doi = date_of_interest

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step = int(float(HBar.maximum()) / (len(TSDs)+1))
HBar.setSingleStep(step)
HBar.setPageStep(step*5)
HBar.setValue(i_doi * step)

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cx = D.spinBox_coordinate_x.value()
cy = D.spinBox_coordinate_y.value()
pts = [(cx - dx, cy + dy), \
(cx + dx, cy + dy), \
(cx + dx, cy - dy), \
(cx - dx, cy - dy)]
bb = getBoundingBoxPolygon(pts, srs=self.canvas_srs)
ratio = dx / dy
size_px = D.spinBox_chipsize_max.value()
if ratio > 1: #x is largest side
size_x = size_px
size_y = int(size_px / ratio)
else: #y is largest
size_y = size_px
size_x = int(size_px * ratio)
doiTSD = D.cb_doi.itemData(D.cb_doi.currentIndex())
if doiTSD is None:
idx = int(len(self.TS)/2)
allDates = self.TS.getObservationDates()
i_doi = allDates.index(centerDate)
dates_of_interest = allDates
elif D.rb_showTimeWindow.isChecked():
i0 = max([0, i_doi-D.sb_ndates_before.value()])
ie = min([i_doi + D.sb_ndates_after.value(), len(allDates)-1])
dates_of_interest = allDates[i0:ie+1]
diff = set(dates_of_interest)
diff = diff.symmetric_difference(self.CHIPWIDGETS.keys())

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cnt_chips = 0
TSDs_of_interest = list()
for date in dates_of_interest:
#LV = QVBoxLayout()
#LV.setSizeConstraint(QLayout.SetNoConstraint)
for TSD in self.TS.getTSDs(date_of_interest=date):
TSDs_of_interest.append(TSD)
info_label_text = '{}\n{}'.format(TSD.date, TSD.sensor.sensor_name)
textLabel = QLabel(info_label_text)
tt = [TSD.date,TSD.pathImg, TSD.pathMsk]
self.ICP.addWidget(textLabel, 0, cnt_chips)
viewList = list()
j = 1
for view in self.BAND_VIEWS:
#imageLabel = QLabel()
#imv = pg.GraphicsView()
#imv = QGraphicsView(self.dlg.scrollArea_imageChip_content)
#imv = MyGraphicsView(self.dlg.scrollArea_imageChip_content, iface=self.iface, path=TSD.pathImg, bands=bands)
#imv = pg.ImageView(view=None)
imgLabel = ImageChipLabel(time_series_viewer=self.dlg, iface=self.iface, TSD=TSD, bands=bands)
imgLabel.setMinimumSize(size_x, size_y)
imgLabel.setMaximumSize(size_x, size_y)
imgLabel.clicked.connect(self.ua_collect_date)
viewList.append(imgLabel)
self.ICP.addWidget(imgLabel, j, cnt_chips)
j += 1
textLabel = QLabel(info_label_text)
textLabel.setToolTip(str(TSD))
self.ICP.addWidget(textLabel, j, cnt_chips)
self.CHIPWIDGETS[TSD] = viewList
cnt_chips += 1
self.dlg.scrollArea_imageChip_content.update()
self.scrollToDate(centerDate)
s = ""
#ScrollArea.show()
#ScrollArea.horizontalScrollBar().setValue()
required_bands = dict()
for j, view in enumerate(self.BAND_VIEWS):
for S in view.Sensors.keys():
bands = set()
bands.update(view.getBands(S))
if len(bands) != 3:
s = ""
assert len(bands) == 3
if S not in required_bands.keys():
required_bands[S] = set()
required_bands[S] = required_bands[S].union(bands)
for TSD in TSDs_of_interest:
missing_bands = self.ImageChipBuffer.getMissingBands(TSD, required_bands[TSD.sensor])
if len(missing_bands) == 0:
self.ua_showPxCoordinate_addChips(None, TSD=TSD)
missing =list(missing)
if len(missing) > 0:
missing = sorted(missing, key=lambda d: abs(centerDate - d[0].getDate()))
self.TS.getSpatialChips_parallel(bbWkt, srsWkt, TSD_band_list=missing)
def ua_collect_date(self, ICL, event):
if self.dlg.rb_labeling_activate.isChecked():
txt = self.dlg.tb_labeling_text.toPlainText()
reg = re.compile('\d{4}-\d{2}-\d{2}', re.I | re.MULTILINE)
dates = set([np.datetime64(m) for m in reg.findall(txt)])
doi = ICL.TSD.getDate()
if event.button() == Qt.LeftButton:
elif event.button() == Qt.MiddleButton and doi in dates:
dates.remove(doi)
dates = sorted(list(dates))
txt = ' '.join([d.astype(str) for d in dates])
self.dlg.tb_labeling_text.setText(txt)
def ua_showPxCoordinate_addChips(self, results, TSD=None):
TSD, chipData = results
self.ImageChipBuffer.addDataCube(TSD, chipData)
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if TSD not in self.CHIPWIDGETS.keys():
six.print_('TSD {} does not exist in CHIPBUFFER'.format(TSD), file=sys.stderr)
else:
for imgChipLabel, bandView in zip(self.CHIPWIDGETS[TSD], self.BAND_VIEWS):
#imgView.clear()
#imageLabel.setScaledContents(True)
#rgb = self.ImageChipBuffer.getChipRGB(TSD, bandView)
array = self.ImageChipBuffer.getChipArray(TSD, bandView, mode = 'bgr')
qimg = pg.makeQImage(array, copy=True, transpose=False)
#rgb2 = rgb.transpose([1,2,0]).copy('C')
#qImg = qimage2ndarray.array2qimage(rgb2)
#img = QImage(rgb2.data, nl, ns, QImage.Format_RGB888)
pxMap = QPixmap.fromImage(qimg).scaled(imgChipLabel.size(), Qt.KeepAspectRatio)
imgChipLabel.setPixmap(pxMap)
imgChipLabel.update()
#imgView.setPixmap(pxMap)
#imageLabel.update()
#imgView.adjustSize()
#pxmap = QPixmap.fromImage(qimg)
#
"""
pxmapitem = QGraphicsPixmapItem(pxmap)
if imgChipLabel.scene() is None:
imgChipLabel.setScene(QGraphicsScene())
else:
imgChipLabel.scene().clear()
scene = imgChipLabel.scene()
scene.addItem(pxmapitem)
imgChipLabel.fitInView(scene.sceneRect(), Qt.KeepAspectRatio)
"""
pass
self.ICP.layout().update()
self.dlg.scrollArea_imageChip_content.update()
s = ""
pass
def clearLayoutWidgets(self, L):
if L is not None:
while L.count():
w = L.takeAt(0)
w.widget().deleteLater()
#if w is not None:
# w.widget().deleteLater()

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QApplication.processEvents()
def ua_addTSImages(self, files=None):
if files is None:
files = QFileDialog.getOpenFileNames()
if files:
M = self.dlg.tableView_TimeSeries.model()
M.beginResetModel()
self.TS.addFiles(files)
M.endResetModel()
self.check_enabled()
def ua_addTSMasks(self, files=None):
if files is None:
files = QFileDialog.getOpenFileNames()
l = len(files)
if l > 0:
M = self.dlg.tableView_TimeSeries.model()
M.beginResetModel()
def ua_addBandView(self, band_recommendation = [3, 2, 1]):

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bandView = BandView(self.TS, recommended_bands=band_recommendation)
#bandView.removeView.connect(self.ua_removeBandView)
self.BAND_VIEWS.append(bandView)
self.refreshBandViews()
if len(self.BAND_VIEWS) == 0 and len(self.TS) > 0:
self.ua_addBandView(band_recommendation=[3, 2, 1])
self.ua_addBandView(band_recommendation=[4, 5, 3])
for i, BV in enumerate(self.BAND_VIEWS):
W = QWidget()
hl = QHBoxLayout()
textLabel = VerticalLabel('View {}'.format(i+1))
textLabel = QLabel('View {}'.format(i+1))
textLabel.setToolTip('')
textLabel.setSizePolicy(QSizePolicy.Fixed,QSizePolicy.Fixed)
hl.addWidget(textLabel)
for S in self.TS.Sensors.keys():
w = BV.getWidget(S)
w.setMaximumSize(w.size())
#w.setMinimumSize(w.size())
w.setSizePolicy(QSizePolicy.Fixed,QSizePolicy.MinimumExpanding)
#w.setBands(band_recommendation)
hl.addWidget(w)
s = ""
hl.addItem(QSpacerItem(20,20,QSizePolicy.Expanding,QSizePolicy.Minimum))
W.setLayout(hl)
self.BVP.addWidget(W)
self.check_enabled()
def ua_removeBandView(self, w):
self.BAND_VIEWS.remove(w)

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self.refreshBandViews()
#remove views
M = self.dlg.tableView_TimeSeries.model()
M.beginResetModel()
self.TS.clear()
M.endResetModel()
self.check_enabled()
def ua_removeTSD(self, TSDs=None):
if TSDs is None:
TSDs = self.getSelectedTSDs()
assert isinstance(TSDs,list)
M = self.dlg.tableView_TimeSeries.model()
M.beginResetModel()
self.TS.removeDates(TSDs)
def getSelectedTSDs(self):
TV = self.dlg.tableView_TimeSeries
TVM = TV.model()
return [TVM.getTimeSeriesDatumFromIndex(idx) for idx in TV.selectionModel().selectedRows()]
def disconnect_signal(signal):
while True:
try:
signal.disconnect()
except TypeError: