def processWarp(self, path): # actual warp processing method, just sets up a Warp object and starts it with the given path warp = Warp(self.getFullPath(path), "%s.csv" %self.getCSVOutputPath(path), self.append_filename, self.layers, self.layers_include_exclude, self.dpi, self.fix_no_data) warp.executeGdalWarp() if self.edge_smoothing_factor > 0: self.processEdgeWarps(path)
def processEdgeWarps(self,path): # process warps for edge smoothing (series of small samples along the edges) # these warp processes simply process small geotiffs based on a series of csv files # csv filenames are specifically encoded by the neatline process # expected csv filename format: <baseCSVFilePath><top|right|left|bottom>_<section_number>_<section_count>.csv # Note: 'z' is appended to the filenames of these tiffs to facilitate cleanup of edge smoothing tiffs (see cleanup() below) section_count = int(self.edge_smoothing_factor) for section in range(1,section_count): for file_prepend in ['top', 'right', 'left', 'bottom']: warp = Warp(self.getFullPath(path), "%s%s_%s_%s.csv" % (self.getCSVOutputPath(path),file_prepend,section,section_count), "%s_%s_%s_%s" % (self.append_filename, file_prepend,section,section_count), self.layers, self.layers_include_exclude, self.dpi, self.fix_no_data, 'z') warp.executeGdalWarp()
