7.10.11

Author: semiautomaticgit

__init__.py

@@ -42,7 +42,7 @@ def description():
 
 
 def version():
-    return 'Version 7.10.10 - Matera'
+    return 'Version 7.10.11 - Matera'
 
 
 def icon():

dock/scpdock.py

@@ -43,7 +43,7 @@ def __init__(self):
 		cfg.uidc.undo_save_Button.setEnabled(False)
 		cfg.uidc.redo_save_Button.setEnabled(False)
 		# rubber band
-		cfg.rbbrBnd = cfg.qgisGuiSCP.QgsRubberBand(cfg.cnvs, False)
+		cfg.rbbrBnd = cfg.qgisGuiSCP.QgsRubberBand(cfg.cnvs, cfg.qgisCoreSCP.QgsWkbTypes.LineGeometry)
 		cfg.rbbrBnd.setColor(cfg.QtGuiSCP.QColor(0,255,255))
 		cfg.rbbrBnd.setWidth(2)
 		cfg.mrctrVrtc = []
@@ -2543,7 +2543,7 @@ def addHighlightPolygon(self, sourceLayer, ID):
 	# clear canvas
 	def clearCanvas(self):
 		cfg.lastVrt = []
-		cfg.rbbrBnd.reset(True)
+		cfg.rbbrBnd.reset()
 		for m in cfg.mrctrVrtc:
 		    cfg.cnvs.scene().removeItem(m)
 		    del m
@@ -2555,7 +2555,7 @@ def clearCanvas(self):
 
 	# clear ROI point canvas
 	def clearROICanvas(self):
-		cfg.rbbrBnd.reset(True)
+		cfg.rbbrBnd.reset()
 		for m in self.ROIVrtc:
 		    cfg.cnvs.scene().removeItem(m)
 		    del m

docs/repository.xml

@@ -1,9 +1,9 @@
 <?xml version = '1.0' encoding = 'UTF-8'?>
 <plugins>
-    <pyqgis_plugin name="Semi-Automatic Classification Plugin - master" version="7.10.10" plugin_id="284">
+    <pyqgis_plugin name="Semi-Automatic Classification Plugin - master" version="7.10.11" plugin_id="284">
         <description><![CDATA[The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.]]></description>
         <about><![CDATA[Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. Search and download is available for ASTER, GOES, Landsat, MODIS, Sentinel-1, Sentinel-2, and Sentinel-3 images. Several algorithms are available for the land cover classification. This plugin requires the installation of GDAL, OGR, Numpy, SciPy, and Matplotlib. Some tools require also the installation of SNAP (ESA Sentinel Application Platform). For more information please visit https://fromgistors.blogspot.com .]]></about>
-        <version>7.10.10</version>
+        <version>7.10.11</version>
         <qgis_minimum_version>3.0.0</qgis_minimum_version>
         <qgis_maximum_version>3.99.0</qgis_maximum_version>
         <homepage><![CDATA[https://fromgistors.blogspot.com/p/semi-automatic-classification-plugin.html]]></homepage>

maininterface/clipmultiplerasters.py

@@ -47,7 +47,7 @@ def addRubberBandPolygon(self, pointUL, pointLR):
 			self.clearCanvasPoly()
 		except:
 			pass
-		self.rbbrBndPol = cfg.qgisGuiSCP.QgsRubberBand(cfg.cnvs, 2)
+		self.rbbrBndPol = cfg.qgisGuiSCP.QgsRubberBand(cfg.cnvs, cfg.qgisCoreSCP.QgsWkbTypes.LineGeometry)
 		pointF = cfg.QtCoreSCP.QPointF()
 		polF = cfg.QtGuiSCP.QPolygonF()
 		pointF.setX(pointUL.x())
@@ -74,7 +74,7 @@ def addRubberBandPolygon(self, pointUL, pointLR):
 
 	# clear canvas
 	def clearCanvasPoly(self):
-		self.rbbrBndPol.reset(True)
+		self.rbbrBndPol.reset()
 		cfg.cnvs.refresh()	
 
 	# clip multiple rasters action

maininterface/downloadproducts.py

@@ -41,7 +41,7 @@ class DownloadProducts:
 	def __init__(self):
 		# check all bands
 		self.checkAll = 'No'
-		self.rbbrBndPol = cfg.qgisGuiSCP.QgsRubberBand(cfg.cnvs, 2)
+		self.rbbrBndPol = cfg.qgisGuiSCP.QgsRubberBand(cfg.cnvs, cfg.qgisCoreSCP.QgsWkbTypes.LineGeometry)
 		cfg.ui.dateEdit_to.setDate(cfg.QDateSCP.currentDate())
 		cfg.ui.dateEdit_from.setDate(cfg.QDateSCP.currentDate().addDays(-365))
 
@@ -99,7 +99,7 @@ def addRubberBandPolygon(self, pointUL, pointLR):
 
 	# clear canvas
 	def clearCanvasPoly(self):
-		self.rbbrBndPol.reset(True)
+		self.rbbrBndPol.reset()
 		cfg.cnvs.refresh()
 
 	# Activate pointer

metadata.txt

@@ -2,7 +2,7 @@
 name=Semi-Automatic Classification Plugin
 qgisMinimumVersion=3.00
 description=The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.
-version=7.10.10
+version=7.10.11
 about=Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. Search and download is available for ASTER, GOES, Landsat, MODIS, Sentinel-1, Sentinel-2, and Sentinel-3 images. Several algorithms are available for the land cover classification. This plugin requires the installation of GDAL, OGR, Numpy, SciPy, and Matplotlib. Some tools require also the installation of SNAP (ESA Sentinel Application Platform). For more information please visit https://fromgistors.blogspot.com .
 
 author=Luca Congedo
@@ -14,6 +14,9 @@ icon=semiautomaticclassificationplugin.png
 ; start of optional metadata
 changelog=
 
+	7.10.11
+	-fixed QgsRubberBand issue with new QGIS versions
+	
 	7.10.10
 	-fixed issue with file name in Clip multiple raster
 	-fixed French translation issue