rgb l2

geosentinel/rasterWkt.py

@@ -32,22 +32,22 @@ def rasterWkt(wkt, inputfile, outputfile):
 	print (wkt)
 	print (inputfile)
 	print (outputfile)
-	intput = gdal.Open(inputfile)
-	rows, cols, geotransform = intput.RasterYSize, intput.RasterXSize, intput.GetGeoTransform()
-	# Read the input bands as numpy arrays.
-	np_intput = intput.GetRasterBand(1).ReadAsArray(0,0,cols,rows)
+#	intput = gdal.Open(inputfile)
+#	rows, cols, geotransform = intput.RasterYSize, intput.RasterXSize, intput.GetGeoTransform()
+#	# Read the input bands as numpy arrays.
+#	np_intput = intput.GetRasterBand(1).ReadAsArray(0,0,cols,rows)
 
 
-	driverTiff = gdal.GetDriverByName('GTiff')
-	output = driverTiff.Create(outputfile, cols, rows, 1, gdal.GDT_Byte)
-	output.GetRasterBand(1).SetNoDataValue(-99)
-	output.GetRasterBand(1).WriteArray(np_intput)
-	output.GetRasterBand(1).FlushCache()
-	output.SetGeoTransform(geotransform)
-	wkt = intput.GetProjection()
-	sr = osr.SpatialReference()
-	sr.ImportFromWkt(wkt)
-	output.SetProjection(sr.ExportToWkt())
+#	driverTiff = gdal.GetDriverByName('GTiff')
+#	output = driverTiff.Create(outputfile, cols, rows, 1, gdal.GDT_Byte)
+#	output.GetRasterBand(1).SetNoDataValue(-99)
+#	output.GetRasterBand(1).WriteArray(np_intput)
+#	output.GetRasterBand(1).FlushCache()
+#	output.SetGeoTransform(geotransform)
+#	wkt = intput.GetProjection()
+#	sr = osr.SpatialReference()
+#	sr.ImportFromWkt(wkt)
+#	output.SetProjection(sr.ExportToWkt())
 
 
 	# shapefile
@@ -62,12 +62,12 @@ def rasterWkt(wkt, inputfile, outputfile):
 	feature.SetGeometry(geometry)
 	layer.CreateFeature(feature)
 
-	gdal.RasterizeLayer(output, [1], layer, burn_values=[0])
+#	gdal.RasterizeLayer(output, [1], layer, burn_values=[0])
 	
 	feature = None
 	data_source = None
 
-	output = None
+#	output = None
 
 def main(argv):
 	rasterWkt(argv[1], argv[2], argv[3])