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split_and_merge.py
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split_and_merge.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import pickle
import gc
import numpy as np
import raster_io as io
def tileRaster(fNameIn, fNameOut, dirName, xDim, yDim, U, isInit=False):
#if not os.path.exists(dirName):
# os.makedirs(dirName)
#largeRaster, largeHeader = iof.f_readASC(fNameIn, dType='float')
largeRaster, largeHeader = io.read_raster(fNameIn)
# einlesen des Rasters und der Header
i, j, imax, jmax = 0, 0, 0, 0
sX, sY, eX, eY = 0, 0, 0, 0
# starte mit den tiles in der NW-Ecke sX,eX = cols; sY,eY = rows;
# cs=largeHeader['cellsize']
# xllc = largeHeader['xllcorner']
# yllc = largeHeader['yllcorner']
nrows, ncols = largeRaster.shape[0], largeRaster.shape[1]
pickle.dump((nrows, ncols), open(dirName + "extentLarge", "wb"))
# print ncols, nrows
I, J, IMAX, JMAX = 0, 0, 0, 0
while eY < nrows:
eY = sY + yDim
while eX < ncols:
eX = sX+xDim
# rangeRowsCols = ((sY,eY),(sX,eX))
# pickle.dump(rangeRowsCols, open("%s/ext_%i_%i"%(dirName,i,j),"wb"))
# headerTile = {}
# headerTile['ncols'] = eX-sX
# headerTile['nrows'] = eY-sY
# headerTile['xllcorner'] = xllc + sX*cs
# headerTile['yllcorner'] = yllc + nrows*cs - eY*cs
# headerTile['cellsize'] = cs
# headerTile['noDataValue'] = largeHeader['noDataValue']
# pickle.dump( headerTile, open( "temp/header%d_%d.p"%(i,j), "wb" ) )
# np.save("%s/%s_%i_%i"%(dirName,fNameOut, i, j), largeRaster[sY:eY,sX:eX])
# pickle.dump(, open( "temp/header_large.p"%(fNameOut, i,j), "wb" ) )
# logging.info("saved %s - TileNr.: %i_%i"%(fNameOut,i,j))
sX = eX-2*U
JMAX = max(J, JMAX)
J += 1
sX, J, eX = 0, 0, 0
sY = eY-2*U
IMAX = max(I, IMAX)
I += 1
sX, sY, eX, eY = 0, 0, 0, 0
if isInit is False:
while eY < nrows:
eY = sY+yDim
while eX < ncols:
eX = sX+xDim
rangeRowsCols = ((sY, eY), (sX, eX))
pickle.dump(rangeRowsCols,
open(dirName + "ext_{}_{}".format(i, j), "wb"))
# headerTile = {}
# headerTile['ncols'] = eX-sX
# headerTile['nrows'] = eY-sY
# headerTile['xllcorner'] = xllc + sX*cs
# headerTile['yllcorner'] = yllc + nrows*cs - eY*cs
# headerTile['cellsize'] = cs
# headerTile['noDataValue'] = largeHeader['noDataValue']
# pickle.dump( headerTile,
# open( "temp/header%d_%d.p"%(i,j), "wb" ) )
np.save("{0}{1}_{2}_{3}".format(dirName, fNameOut, i, j),
largeRaster[sY:eY, sX:eX])
# pickle.dump(,
# open( "temp/header_large.p"%(fNameOut, i,j), "wb" ) )
logging.info("saved %s - TileNr.: %i_%i", fNameOut, i, j)
sX = eX-2*U
jmax = max(j, jmax)
j += 1
sX, j, eX = 0, 0, 0
sY = eY-2*U
imax = max(i, imax)
i += 1
else:
while eY < nrows:
eY = sY+yDim
while eX < ncols:
eX = sX+xDim
rangeRowsCols = ((sY, eY), (sX, eX))
pickle.dump(rangeRowsCols,
open("{0}ext_{1}_{2}".format(dirName, i, j), "wb"))
# headerTile = {}
# headerTile['ncols'] = eX-sX
# headerTile['nrows'] = eY-sY
# headerTile['xllcorner'] = xllc + sX*cs
# headerTile['yllcorner'] = yllc + nrows*cs - eY*cs
# headerTile['cellsize'] = cs
# headerTile['noDataValue'] = largeHeader['noDataValue']
# pickle.dump(headerTile,
# open( "temp/hd_%s%_d_%d.p"%(fNameOut, i,j), "wb" ) )
initRas = largeRaster[sY:eY, sX:eX].copy()
# shapeX = np.shape(initRas)[1]
# shapeY = np.shape(initRas)[0]
if j != JMAX:
initRas[:, -U:] = -9999 # Rand im Osten
if i != 0:
initRas[0:U, :] = -9999 # Rand im Norden
if j != 0:
initRas[:, 0:U] = -9999 # Rand im Westen
if i != IMAX:
initRas[-U:, :] = -9999 # Rand im Sueden
# logging.info("%i_%i"%(shapeX-U, shapeX))
np.save("{0}{1}_{2}_{3}".format(dirName, fNameOut, i, j), initRas)
del initRas
# pickle.dump(,
# open( "temp/header_large.p"%(fNameOut, i,j), "wb" ) )
logging.info("saved %s - TileNr.: %i_%i", fNameOut, i, j)
sX = eX-2*U
jmax = max(j, jmax)
j += 1
sX, j, eX = 0, 0, 0
sY = eY-2*U
imax = max(i, imax)
i += 1
pickle.dump((imax, jmax), open("{}nTiles".format(dirName), "wb"))
logging.info("finished tiling %s: nTiles=%s\n----------------------------",
fNameOut, (imax+1)*(jmax+1))
# del largeRaster, largeHeader
del largeRaster
gc.collect()
# return largeRaster
def MergeRaster(inDirPath, fName):
#os.chdir(inDirPath)
extL = pickle.load(open(inDirPath + "extentLarge", "rb"))
# print extL
nTiles = pickle.load(open(inDirPath + "nTiles", "rb"))
mergedRas = np.zeros((extL[0], extL[1]))
# create Raster with original size
mergedRas[:, :] = np.NaN
for i in range(nTiles[0]+1):
for j in range(nTiles[1]+1):
smallRas = np.load(inDirPath + "%s_%i_%i.npy" % (fName, i, j))
# print smallRas
pos = pickle.load(open(inDirPath + "ext_%i_%i" % (i, j), "rb"))
# print pos
mergedRas[pos[0][0]:pos[0][1], pos[1][0]:pos[1][1]] =\
np.fmax(mergedRas[pos[0][0]:pos[0][1],
pos[1][0]:pos[1][1]], smallRas)
del smallRas
logging.info("appended result %s_%i_%i", fName, i, j)
return mergedRas
del mergedRas