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shifty.py
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shifty.py
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from osgeo import gdal
from osgeo import ogr
from osgeo import osr
from osgeo import gdal_array
import pandas as pd
from scipy import spatial
import numpy as np
import cv2 as cv
import argparse
import tempfile
import shutil
import math
import os
import time
import sys
def parse_args():
""" Function for command line compatibility """
usage = "./shifty.py"
parser = argparse.ArgumentParser(usage)
parser.add_argument("-i", "--input",
action = "store",
dest = "inputFeat",
help = "Path to input Featureclass (GDB) or shapefile (.shp).",
type = str,
required = True)
parser.add_argument("-t", "--target",
action = "store",
dest = "targets",
help = "List of target image/s (.jpg, .jp2, .tif). Image/s must be in a projected coordinate system.",
type = str,
nargs = '+',
required = True)
parser.add_argument("-o", "--output",
action = "store",
dest = "outputFeat",
help = "Path to output shapefile (.shp).",
type = str,
required = True)
parser.add_argument("-x", "--distance",
action = "store",
dest = "distance",
type = int,
required = False,
help = "Integer specifying the search distance in units associated with the target image/s. Default is 5 units.",
default = 5)
parser.add_argument("-lv", "--local-validation",
action = "store",
dest = "localVal",
type = int,
required = False,
help = "Integer specifying the number of nieghbors used for local validation. Value must be greater than or equal to 5.",
default = None)
parser.add_argument("-gv", "--global-validation",
action = "store_true",
dest = "globalVal",
required = False,
help = "Boolean flag to invoke global validation.",
default = False)
args = parser.parse_args()
return args
class Image(object):
def __init__(self, path_to_image):
self.source = path_to_image
self._get_properties()
#self.get_statistics()
def _get_properties(self):
""" Private method to validate raster and retrieve properties """
ds = gdal.Open(self.source)
if ds:
self.cellX = ds.GetGeoTransform()[1]
self.cellY = ds.GetGeoTransform()[5]
self.cols = ds.RasterXSize
self.rows = ds.RasterYSize
self.extent = (ds.GetGeoTransform()[0],
ds.GetGeoTransform()[0] + self.cols * self.cellX,
ds.GetGeoTransform()[3] + self.rows * self.cellY,
ds.GetGeoTransform()[3])
self.spatialRef = ds.GetProjection()
self.bands = ds.RasterCount
self.dataType = ds.GetRasterBand(1).DataType
self._cell_area()
ds = None
else:
raise OSError( "Unable to open: {0}".format(self.source) )
def _cell_area(self):
""" Private method to calculate area of each cell """
if osr.SpatialReference(self.spatialRef).IsGeographic:
if os.path.exists(os.path.splitext(self.source)[0] + ".IMD"):
with open(os.path.splitext(self.source)[0] + ".IMD", 'r') as handle:
for row in handle:
if row.lstrip().startswith("meanCollectedGSD"):
self.cellArea = eval(row.split("=")[-1].lstrip().rstrip(";\n")) ** 2
break
else:
self.cellArea = None
else:
self.cellArea = self.cellX * self.cellY
def _ms_to_is(self, point):
""" Private method to convert between map space and image space"""
col = int((point[0] - self.extent[0]) / self.cellX)
row = int((point[1] - self.extent[3]) / self.cellY)
if 0 <= col <= self.cols:
if 0 <= row <= self.rows:
return col, row
else:
raise ValueError( "Point exceeds 'y' dimension of image." )
else:
raise ValueError( "Point exceeds 'x' dimension of image." )
def extent_as_geom(self, extent):
""" Method to return the extent of a raster as a geometry object.
The extent parameter is a tuple representing (xmin, xmax, ymin, ymax) """
ring = ogr.Geometry(ogr.wkbLinearRing)
ring.AddPoint(extent[0], extent[3])
ring.AddPoint(extent[1], extent[3])
ring.AddPoint(extent[1], extent[2])
ring.AddPoint(extent[0], extent[2])
ring.AddPoint(extent[0], extent[3])
geom = ogr.Geometry(ogr.wkbPolygon)
geom.AddGeometry(ring)
return geom
def virtual_tile(self, windowx, windowy, origin=None):
""" Method to create virtual subsets (offsets) a raster """
# Create container to hold arguments
self.tiles = []
# Set counters, rows, and columns (varies with user input)
if origin:
offx, offy = self._ms_to_is(origin)
else:
offx = 0
offy = 0
for y in np.arange(offy, self.rows, windowy):
for x in np.arange(offx, self.cols, windowx):
if x + windowx > self.cols:
winx = self.cols - x
else:
winx = windowx
if y + windowy > self.rows:
winy = self.rows - y
else:
winy = windowy
self.tiles.append((x, y, winx, winy))
def create_grid(self, windowx, windowy, output_shape, origin=None):
""" Method to create a shapefile template of a tiled raster """
if not os.path.exists(output_shape):
self.virtual_tile(windowx, windowy, origin)
# Set up the shapefile driver
drv = ogr.GetDriverByName("ESRI Shapefile")
# Create the data source
ds = drv.CreateDataSource(output_shape)
# Create the spatial reference
srs = osr.SpatialReference(self.spatialRef)
# Create layer
lyr = ds.CreateLayer("tiles", srs, ogr.wkbPolygon)
# Add standard fields
fn = ogr.FieldDefn("Tile", ogr.OFTInteger)
lyr.CreateField(fn)
fn = ogr.FieldDefn("Row", ogr.OFTInteger)
lyr.CreateField(fn)
fn = ogr.FieldDefn("Col", ogr.OFTInteger)
lyr.CreateField(fn)
fn = ogr.FieldDefn("OffSet", ogr.OFTString)
lyr.CreateField(fn)
fn = ogr.FieldDefn("WinSize", ogr.OFTString)
lyr.CreateField(fn)
# Iterate over polygon objects and add to the layer
c = 0
for tile in self.tiles:
feat = ogr.Feature(lyr.GetLayerDefn())
# Set the feature geometry
e = (self.extent[0] + (tile[0] * self.cellX),
self.extent[0] + ((tile[0] + tile[2]) * self.cellX),
self.extent[3] + (tile[1] * self.cellY),
self.extent[3] + ((tile[1] + tile[3]) * self.cellY))
feat.SetGeometry(self.extent_as_geom(e))
# Set the attributes
feat.SetField("Tile", c)
feat.SetField("Row", tile[1])
feat.SetField("Col", tile[0])
feat.SetField("OffSet", str((tile[0], tile[1])))
feat.SetField("WinSize", str((tile[2], tile[3])))
# Create the feature in the layer (shapefile)
lyr.CreateFeature(feat)
# Destroy the feature to free resources
feat.Destroy()
c += 1
# Destroy the data source to free resources
ds.Destroy()
else:
raise OSError( "{0} already exists!".format(output_shape) )
class Tile(Image):
def __init__(self, path_to_image, offsetx, offsety, windowx, windowy):
self.source = path_to_image
self._get_properties()
self.offX = offsetx
self.offY = offsety
self.winX = windowx
self.winY = windowy
self._validate_extent()
self._tile_extent()
self._geotransform()
def _validate_extent(self):
""" Private method to ensure the requested tile is within the parent image """
if self.offX < 0 or self.offY < 0:
raise NotImplementedError( "Negative indexing is not supported!" )
if self.offX + self.winX > self.cols:
raise ValueError( "Tile exceeds image in 'x' dimension!" )
if self.offY + self.winY > self.rows:
raise ValueError( "Tile exceeds image in 'y' dimension!" )
def _tile_extent(self):
""" Private method to generate extent for a tile from a parent image """
self.minX = self.extent[0] + (self.offX * self.cellX)
self.maxY = self.extent[3] + (self.offY * self.cellY)
self.maxX = self.minX + (self.winX * self.cellX)
self.minY = self.maxY + (self.winY * self.cellY)
self.tile_extent = (self.minX, self.maxX,
self.minY, self.maxY)
def _geotransform(self):
""" Private method to attribute geotransform for a tile of a parent image """
self.geotransform = (self.minX, self.cellX, 0,
self.maxY, 0, self.cellY)
def _adjust_edges(self, size=3):
""" Private method to solve edge effects """
if size % 2 == 1:
adj = size/2
if self.offX > 0:
if self.offX + self.winX < self.cols - 1 - adj:
self._adjOffX = self.offX - adj
self._adjWinX = self.winX + (2*adj)
self._adjStartX = adj
self._adjStopX = -adj
else:
self._adjOffX = self.offx - adj
self._adjWinX = self.winX + adj
self._adjStartX = adj
self._adjStopX = None
else:
self._adjOffX = self.offX
if self.winX == self.cols:
self._adjWinX = self.winX
self._adjStartX = None
self._adjStopX = None
else:
self._adjWinX = self.winX + adj
self._adjStartX = None
self._adjStopX = -adj
if self.offY > 0:
if self.offY + self.winY < self.rows - 1 - adj:
self._adjOffY = self.offY - adj
self._adjWinY = self.winY + (2*adj)
self._adjStartY = adj
self._adjStopY = -adj
else:
self._adjOffY = self.offY - adj
self._adjWinY = self.winY + adj
self._adjStartY = adj
self._adjStopY = None
else:
self._adjOffY = self.offY
if self.winY == self.rows:
self._adjWinY = self.winY
self._adjStartY = None
self._adjStopY = None
else:
self._adjWinY = self.winY + adj
self._adjStartY = None
self._adjStopY = -adj
else:
raise ValueError( "Matrix size must be of odd dimensions..." )
def read_tile(self, adjust=None, band=None):
""" Method to return array of pixel values """
ds = gdal.Open(self.source)
if band:
b = ds.GetRasterBand(band)
if adjust:
self._adjust_edges(size = adjust)
ar = b.ReadAsArray(self._adjOffX, self._adjOffY,
self._adjWinX, self._adjWinY)
else:
ar = b.ReadAsArray(self.offX, self.offY,
self.winX, self.winY)
else:
if adjust:
self._adjust_edges(size = adjust)
ar = ds.ReadAsArray(self._adjOffX, self._adjOffY,
self._adjWinX, self._adjWinY)
else:
ar = ds.ReadAsArray(self.offX, self.offY,
self.winX, self.winY)
b = None
ds = None
return ar
def save(self, array=None, output=None):
""" Method to save array using the tile parameters """
if output:
if os.path.isdir(output):
output = os.path.join(output, self.name)
if array is not None:
ar = array
if len(ar.shape) > 2:
bands = ar.shape[0]
else:
bands = 1
else:
ar = self.read_tile()
bands = self.bands
dtype = gdal_array.NumericTypeCodeToGDALTypeCode(ar.dtype)
driver = gdal.GetDriverByName("GTiff")
# Create output and specify raster properties
dst = driver.Create(output, self.winX, self.winY,
bands, dtype, options=['COMPRESS=LZW'])
dst.SetProjection(self.spatialRef)
dst.SetGeoTransform(self.geotransform)
if bands == 1:
band = dst.GetRasterBand(1)
band.WriteArray(ar)
else:
for i in range(bands):
band = dst.GetRasterBand(i + 1)
band.WriteArray(ar[i])
# Free memory
ar = None
dst.FlushCache()
dst = None
else:
raise ValueError( "No output specified..." )
class Shift(object):
def __init__(self, input_features, target_images, output_features, search_distance=5, local_validation=None, global_validation=False):
self.images = target_images
self.in_feat = input_features
self.out_feat = output_features
self.search_distance = search_distance
self.local_val = local_validation
self.global_val = global_validation
self._validate_args()
self.field = "_SID_"
def _validate_args(self):
""" Private method to validate user specified inputs """
self._validate_input()
self._validate_output()
self._validate_targets()
self._validate_validation()
self.workspace = tempfile.mkdtemp()
def _validate_input(self):
""" Private method to validate input features """
if ".gdb" in self.in_feat:
srcds = ogr.Open(os.path.dirname(self.in_feat))
if srcds:
srclyr = srcds.GetLayerByName(os.path.basename(self.in_feat))
if srclyr:
srclyr = None
srcds = None
else:
raise OSError( "Unable to open layer: {0}".format(os.path.basename(self.in_feat)) )
else:
raise OSError( "Unable to open GDB: {0}".format(os.path.dirname(self.in_feat)) )
else:
srcds = ogr.Open(self.in_feat)
if srcds:
srcds = None
else:
raise OSError( "Unable to open file: {0}".format(self.in_feat) )
def _validate_targets(self):
""" Private method to validate target images """
for i in self.images:
if i.lower().endswith((".tif", ".jpg", ".jp2")):
pass
else:
raise ValueError( "Incompatible file type for {}".format(i) )
def _validate_output(self):
""" Private method to validate output features """
if not os.path.exists(self.out_feat):
if self.out_feat.endswith(".shp"):
pass
else:
raise ValueError( "Output shapefile {0} is not a valid shapefile format!".format(self.out_feat) )
if not os.path.exists(os.path.dirname(self.out_feat)):
os.makedirs(os.path.dirname(self.out_feat))
else:
raise OSError( "Output shapefile {0} already exists!".format(self.out_feat) )
def _validate_validation(self):
""" Private method to validate validation technique """
if self.global_val and self.local_val:
self.local_val = None
if self.local_val:
if self.local_val < 5:
raise ValueError( "Number of neighbors for local validation must be greater than 5!" )
def _outliers(self, array):
""" Private method to identify bounds for outliers (+- 1 standard deviation) """
m = np.mean(array)
std = np.std(array)
lo = m - std
uo = m + std
return m, std, lo, uo
def _quartiles(self, array):
""" Private method to calculate median, interquartile range, outlier threshold """
array = sorted(array)
m = np.median(array)
if len(array) % 2 == 0:
ind = len(array)//2
else:
ind = (len(array)//2) + 1
q1 = np.median(array[:len(array)//2])
q3 = np.median(array[len(array)//2:])
iqr = q3 - q1
uo = q3 + (1.5 * iqr)
lo = q1 - (1.5 * iqr)
return m, q1, q3, iqr, lo, uo
def _rasterize(self, infile, cellsize, outfile, extent=None):
""" Method to rasterize a layer. If the outfile
is "MEM", a raster dataset will be returned. Otherwise
the raster is written to disk.
"""
if not os.path.exists(outfile):
if ".gdb" in infile:
drv = ogr.GetDriverByName("OpenFileGDB")
srcDs = drv.Open(os.path.dirname(infile))
elif infile.endswith(".shp"):
drv = ogr.GetDriverByName("ESRI SHAPEFILE")
srcDs = drv.Open(infile)
else:
srcDs = None
if srcDs:
srcLyr = srcDs.GetLayer(os.path.basename(infile).split(".")[0])
srcSr = srcLyr.GetSpatialRef().ExportToWkt()
if extent:
srcLyr.SetSpatialFilterRect(extent[0], extent[2],
extent[1], extent[3])
rows = int(math.ceil((extent[3] - extent[2])/cellsize))
cols = int(math.ceil((extent[1] - extent[0])/cellsize))
if outfile.upper() == "MEM":
rasDrv = gdal.GetDriverByName('MEM')
opts = []
else:
rasDrv = gdal.GetDriverByName('GTiff')
opts = ['COMPRESS=LZW']
trgDs = rasDrv.Create(outfile, cols, rows,
1, gdal.GDT_Byte)
trgDs.SetProjection(srcSr)
trgDs.SetGeoTransform((extent[0], cellsize, 0,
extent[3], 0, -cellsize))
gdal.RasterizeLayer(trgDs, [1], srcLyr, None, None, [255])
trgDs.FlushCache()
if outfile.upper() == "MEM":
return trgDs.ReadAsArray()
else:
trgDs = None
srcDs = None
def _extent_as_geom(self, xmin, xmax, ymin, ymax):
""" Private method to return the extent of a raster as a geometry object """
ring = ogr.Geometry(ogr.wkbLinearRing)
ring.AddPoint(xmin, ymax)
ring.AddPoint(xmax, ymax)
ring.AddPoint(xmax, ymin)
ring.AddPoint(xmin, ymin)
ring.AddPoint(xmin, ymax)
poly = ogr.Geometry(ogr.wkbPolygon)
poly.AddGeometry(ring)
return poly
def _create_index(self, list_of_images, output_index):
""" Private method to create spatial index of rasters """
if not os.path.exists(output_index):
if list_of_images:
drv = ogr.GetDriverByName("ESRI Shapefile")
ds = drv.CreateDataSource(output_index)
ids = gdal.Open(list_of_images[0])
srs = osr.SpatialReference(ids.GetProjectionRef())
ids = None
lyr = ds.CreateLayer("index", srs, ogr.wkbPolygon)
fn = ogr.FieldDefn("tile", ogr.OFTInteger)
lyr.CreateField(fn)
c = 0
for image in list_of_images:
ids = gdal.Open(image)
gt = ids.GetGeoTransform()
xsize, ysize = ids.RasterXSize, ids.RasterYSize
xmin = gt[0]
xmax = gt[0] + (xsize * gt[1])
ymin = gt[3] + (ysize * gt[5])
ymax = gt[3]
ids = None
geom = self._extent_as_geom(xmin, xmax, ymin, ymax)
feat = ogr.Feature(lyr.GetLayerDefn())
feat.SetGeometry(geom)
feat.SetField("tile", c)
lyr.CreateFeature(feat)
feat.Destroy()
c += 1
ds.Destroy()
else:
raise OSError( "No images found!" )
else:
raise OSError( "{0} already exists!".format(output_index) )
def _filter_transform(self, input_features, mask, output_features):
""" Private method to subset and transform features based on extent of rasters """
if not os.path.exists(output_features):
mds = ogr.Open(mask)
if mds:
mlyr = mds.GetLayer()
else:
raise OSError( "Unable to open file: {0}".format(mask) )
if ".gdb" in input_features:
srcds = ogr.Open(os.path.dirname(input_features))
if srcds:
srclyr = srcds.GetLayerByName(os.path.basename(input_features))
if srclyr:
pass
else:
raise OSError( "Unable to open layer: {0}".format(os.path.basename(input_features)) )
else:
raise OSError( "Unable to open GDB: {0}".format(os.path.dirname(input_features)) )
else:
srcds = ogr.Open(input_features)
if srcds:
srclyr = srcds.GetLayer()
else:
raise OSError( "Unable to open file: {0}".format(input_features) )
msr = mlyr.GetSpatialRef()
srcsr = srclyr.GetSpatialRef()
drv = ogr.GetDriverByName("ESRI Shapefile")
trgds = drv.CreateDataSource(output_features)
trglyr = trgds.CreateLayer("subset", msr, ogr.wkbPolygon)
srclyrdef = srclyr.GetLayerDefn()
for i in range(srclyrdef.GetFieldCount()):
trglyr.CreateField(srclyrdef.GetFieldDefn(i))
newfield = ogr.FieldDefn(self.field, ogr.OFTInteger)
trglyr.CreateField(newfield)
trglyrdef = trglyr.GetLayerDefn()
poly = ogr.Geometry(ogr.wkbPolygon)
for feat in mlyr:
poly = poly.Union(feat.GetGeometryRef())
feat = None
if msr.IsSame(srcsr):
srclyr.SetSpatialFilter(poly)
count = 0
for feat in srclyr:
ofeat = ogr.Feature(trglyrdef)
for i in range(0, srclyrdef.GetFieldCount()):
ofeat.SetField(trglyrdef.GetFieldDefn(i).GetName(),
feat.GetField(i))
ofeat.SetField(self.field, count)
ofeat.SetGeometry(feat.GetGeometryRef().Clone())
trglyr.CreateFeature(ofeat)
ofeat.Destroy()
count += 1
else:
trg_to_src = osr.CoordinateTransformation(msr, srcsr)
src_to_trg = osr.CoordinateTransformation(srcsr, msr)
poly.Transform(trg_to_src)
srclyr.SetSpatialFilter(poly)
count = 0
for feat in srclyr:
ofeat = ogr.Feature(trglyrdef)
for i in range(0, srclyrdef.GetFieldCount()):
ofeat.SetField(trglyrdef.GetFieldDefn(i).GetNameRef(),
feat.GetField(i))
ofeat.SetField(self.field, count)
geom = feat.GetGeometryRef()
geom.Transform(src_to_trg)
ofeat.SetGeometry(geom)
trglyr.CreateFeature(ofeat)
ofeat.Destroy()
count += 1
trgds.Destroy()
feat = None
mds = None
srcds = None
trgds = None
else:
raise OSError( "{0} already exists!". format(output_features) )
def _poly_to_lines(self, input_features, output_features):
""" Private method to convert polygons to polylines """
if not os.path.exists(output_features):
srcds = ogr.Open(input_features)
if srcds:
srclyr = srcds.GetLayer()
else:
raise OSError( "Unable to open file: {0}".format(input_features) )
srclyr = srcds.GetLayer()
drv = ogr.GetDriverByName("ESRI Shapefile")
trgds = drv.CreateDataSource(output_features)
trglyr = trgds.CreateLayer("mbg", srclyr.GetSpatialRef(), ogr.wkbLineString)
srclyrdef = srclyr.GetLayerDefn()
for i in range(srclyrdef.GetFieldCount()):
trglyr.CreateField(srclyrdef.GetFieldDefn(i))
trglyrdef = trglyr.GetLayerDefn()
for feat in srclyr:
ofeat = ogr.Feature(trglyrdef)
geom = feat.GetGeometryRef().GetLinearGeometry()
for i in range(0, trglyrdef.GetFieldCount()):
ofeat.SetField(trglyrdef.GetFieldDefn(i).GetNameRef(),
feat.GetField(i))
ofeat.SetGeometry(geom)
trglyr.CreateFeature(ofeat)
ofeat.Destroy()
trgds.Destroy()
feat = None
srcds = None
trgds = None
else:
raise OSError( "{0} already exists!". format(output_features) )
def _buffer_bbox(self, input_features, buffer_size, output_features):
""" Private method to create minimum bounding box for features """
if not os.path.exists(output_features):
srcds = ogr.Open(input_features)
if srcds:
srclyr = srcds.GetLayer()
else:
raise OSError( "Unable to open file: {0}".format(input_features) )
drv = ogr.GetDriverByName("ESRI Shapefile")
trgds = drv.CreateDataSource(output_features)
trglyr = trgds.CreateLayer("mbg", srclyr.GetSpatialRef(), ogr.wkbPolygon)
srclyrdef = srclyr.GetLayerDefn()
for i in range(srclyrdef.GetFieldCount()):
trglyr.CreateField(srclyrdef.GetFieldDefn(i))
trglyrdef = trglyr.GetLayerDefn()
for feat in srclyr:
ofeat = ogr.Feature(trglyrdef)
for i in range(0, trglyrdef.GetFieldCount()):
ofeat.SetField(trglyrdef.GetFieldDefn(i).GetNameRef(),
feat.GetField(i))
geom = feat.GetGeometryRef()
env = geom.GetEnvelope()
geom = self._extent_as_geom(*env)
geom = geom.Buffer(buffer_size)
env = geom.GetEnvelope()
geom = self._extent_as_geom(*env)
ofeat.SetGeometry(geom)
trglyr.CreateFeature(ofeat)
ofeat.Destroy()
trgds.Destroy()
feat = None
srcds = None
else:
raise OSError( "{0} already exists!". format(output_features) )
def prep_data(self):
""" Private method to prepare data prior to automated shifting """
ds = gdal.Open(self.images[0])
self.bands = ds.RasterCount
sr = osr.SpatialReference()
sr.ImportFromWkt(ds.GetProjectionRef())
if not sr.IsProjected():
ds = None
raise ValueError("Input image/s are not projected!")
else:
ds = None
if len(self.images) == 1:
self.vrt = self.images[0]
else:
self.vrt = os.path.join(self.workspace, "temp.vrt")
if not os.path.exists(self.vrt):
gdal.BuildVRT(self.vrt, self.images)
self.index = os.path.join(self.workspace, "_index.shp")
if not os.path.exists(self.index):
self._create_index(self.images, self.index)
self.subset = os.path.join(self.workspace, "_subset.shp")
if not os.path.exists(self.subset):
self._filter_transform(self.in_feat, self.index, self.subset)
self.lines = os.path.join(self.workspace, "_lines.shp")
if not os.path.exists(self.lines):
self._poly_to_lines(self.subset, self.lines)
def sample(self, field, value, output_directory):
""" Public method to create and save sample output for a given building id """
if not os.path.exists(self.subset):
raise OSError( "Data prepartion must be run prior to sample creation" )
else:
srcds = ogr.Open(self.subset)
if srcds:
srclyr = srcds.GetLayer()
else:
raise OSError( "Unable to open file: {0}".format(self.subset) )
iob = Image(self.vrt)
if not os.path.exists(output_directory):
os.mkdir(output_directory)
srclyr.SetAttributeFilter("{0} = {1}".format(field, value))
if srclyr.GetFeatureCount() > 0:
for feat in srclyr:
geom = feat.GetGeometryRef()
bldextent = geom.GetEnvelope()
bldextent = self._extent_as_geom(bldextent[0], bldextent[1], bldextent[2], bldextent[3])
bldextent = bldextent.Buffer(self.search_distance)
bldextent = bldextent.GetEnvelope()
bld = os.path.join(output_directory, "bld_{0}.tif".format(value))
if not os.path.exists(bld):
adjx = bldextent[0] - ((bldextent[0] - iob.extent[0]) % iob.cellX)
adjy = bldextent[3] + ((iob.extent[3] - bldextent[3]) % abs(iob.cellX))
self._rasterize(self.lines, iob.cellX, bld, (adjx, bldextent[1], bldextent[2], adjy))
geom = self._extent_as_geom(bldextent[0], bldextent[1], bldextent[2], bldextent[3])
geom = geom.Buffer(self.search_distance)
buffextent = geom.GetEnvelope()
xoff, yoff = iob._ms_to_is((buffextent[0], buffextent[3]))
winx = int(math.ceil((buffextent[1]-buffextent[0])/iob.cellX))
winy = int(math.ceil((buffextent[2]-buffextent[3])/iob.cellY))
tob = Tile(self.vrt, xoff, yoff, winx, winy)
origi = tob.read_tile()
orig = os.path.join(output_directory, "orig_{0}.tif".format(value))
if not os.path.exists(orig):
tob.save(origi, orig)
if self.bands > 1:
grey = os.path.join(output_directory, "grey_{0}.tif".format(value))
greyi = np.zeros((origi.shape[1], origi.shape[2]))
vals = [.299, .587, .114]
for i, v in enumerate(vals):
greyi += origi[i,:,:] * v