def test_read_write_color_table_from_raster():
""" test color palettes with and without nv """
gdaltest.tiff_drv = gdal.GetDriverByName('GTiff')
ds = gdaltest.tiff_drv.Create('tmp/ct8.tif', 1, 1, 1, gdal.GDT_Byte)
ct = get_color_table(ds)
assert ct is None
name = 'color_paletted_red_green_0-255.txt'
root = Path(test_py_scripts.get_data_path('utilities'))
path = root / name
cp1 = ColorPalette()
cp1.read_file(path)
ct = get_color_table(cp1)
assert ct is not None
ds.GetRasterBand(1).SetRasterColorTable(ct)
ct2 = get_color_table(ds)
assert ct2 is not None
assert ct.GetCount() == ct2.GetCount()
for k, v in cp1.pal.items():
assert ColorPalette.color_to_color_entry(v, with_alpha=True) == \
ct.GetColorEntry(k) == ct2.GetColorEntry(k)
# assert ct.GetColorEntry(0) == ct2.GetColorEntry(0)
ct = None
ct2 = None
ds = None
gdaltest.tiff_drv.Delete('tmp/ct8.tif')
def doit(src_filename,
pct_filename: Optional[ColorTableLike],
dst_filename: Optional[PathLikeOrStr] = None,
driver_name: Optional[str] = None):
# =============================================================================
# Get the PCT.
# =============================================================================
ct = get_color_table(pct_filename)
if pct_filename is not None and ct is None:
print('No color table on file ', pct_filename)
return None, 1
# =============================================================================
# Create a MEM clone of the source file.
# =============================================================================
src_ds = open_ds(src_filename)
mem_ds = gdal.GetDriverByName('MEM').CreateCopy('mem', src_ds)
# =============================================================================
# Assign the color table in memory.
# =============================================================================
mem_ds.GetRasterBand(1).SetRasterColorTable(ct)
mem_ds.GetRasterBand(1).SetRasterColorInterpretation(gdal.GCI_PaletteIndex)
# =============================================================================
# Write the dataset to the output file.
# =============================================================================
if not driver_name:
driver_name = GetOutputDriverFor(dst_filename)
dst_driver = gdal.GetDriverByName(driver_name)
if dst_driver is None:
print('"%s" driver not registered.' % driver_name)
return None, 1
if driver_name.upper() == 'MEM':
out_ds = mem_ds
else:
out_ds = dst_driver.CreateCopy(dst_filename or '', mem_ds)
mem_ds = None
src_ds = None
return out_ds, 0
def Calc(calc: MaybeSequence[str], outfile: Optional[PathLikeOrStr] = None, NoDataValue: Optional[Number] = None,
type: Optional[Union[GDALDataType, str]] = None, format: Optional[str] = None,
creation_options: Optional[Sequence[str]] = None, allBands: str = '', overwrite: bool = False,
hideNoData: bool = False, projectionCheck: bool = False,
color_table: Optional[ColorTableLike] = None,
extent: Optional[Extent] = None, projwin: Optional[Union[Tuple, GeoRectangle]] = None,
user_namespace: Optional[Dict]=None,
debug: bool = False, quiet: bool = False, **input_files):
if debug:
print(f"gdal_calc.py starting calculation {calc}")
# Single calc value compatibility
if isinstance(calc, (list, tuple)):
calc = calc
else:
calc = [calc]
calc = [c.strip('"') for c in calc]
creation_options = creation_options or []
# set up global namespace for eval with all functions of gdal_array, numpy
global_namespace = {key: getattr(module, key)
for module in [gdal_array, numpy] for key in dir(module) if not key.startswith('__')}
if user_namespace:
global_namespace.update(user_namespace)
if not calc:
raise Exception("No calculation provided.")
elif not outfile and format.upper() != 'MEM':
raise Exception("No output file provided.")
if format is None:
format = GetOutputDriverFor(outfile)
if isinstance(extent, GeoRectangle):
pass
elif projwin:
if isinstance(projwin, GeoRectangle):
extent = projwin
else:
extent = GeoRectangle.from_lurd(*projwin)
elif not extent:
extent = Extent.IGNORE
else:
extent = extent_util.parse_extent(extent)
compatible_gt_eps = 0.000001
gt_diff_support = {
GT.INCOMPATIBLE_OFFSET: extent != Extent.FAIL,
GT.INCOMPATIBLE_PIXEL_SIZE: False,
GT.INCOMPATIBLE_ROTATION: False,
GT.NON_ZERO_ROTATION: False,
}
gt_diff_error = {
GT.INCOMPATIBLE_OFFSET: 'different offset',
GT.INCOMPATIBLE_PIXEL_SIZE: 'different pixel size',
GT.INCOMPATIBLE_ROTATION: 'different rotation',
GT.NON_ZERO_ROTATION: 'non zero rotation',
}
################################################################
# fetch details of input layers
################################################################
# set up some lists to store data for each band
myFileNames = [] # input filenames
myFiles = [] # input DataSets
myBands = [] # input bands
myAlphaList = [] # input alpha letter that represents each input file
myDataType = [] # string representation of the datatype of each input file
myDataTypeNum = [] # datatype of each input file
myNDV = [] # nodatavalue for each input file
DimensionsCheck = None # dimensions of the output
Dimensions = [] # Dimensions of input files
ProjectionCheck = None # projection of the output
GeoTransformCheck = None # GeoTransform of the output
GeoTransforms = [] # GeoTransform of each input file
GeoTransformDiffer = False # True if we have inputs with different GeoTransforms
myTempFileNames = [] # vrt filename from each input file
myAlphaFileLists = [] # list of the Alphas which holds a list of inputs
# loop through input files - checking dimensions
for alphas, filenames in input_files.items():
if isinstance(filenames, (list, tuple)):
# alpha is a list of files
myAlphaFileLists.append(alphas)
elif is_path_like(filenames) or isinstance(filenames, gdal.Dataset):
# alpha is a single filename or a Dataset
filenames = [filenames]
alphas = [alphas]
else:
# I guess this alphas should be in the global_namespace,
# It would have been better to pass it as user_namepsace, but I'll accept it anyway
global_namespace[alphas] = filenames
continue
for alpha, filename in zip(alphas * len(filenames), filenames):
if not alpha.endswith("_band"):
# check if we have asked for a specific band...
alpha_band = f"{alpha}_band"
if alpha_band in input_files:
myBand = input_files[alpha_band]
else:
myBand = 1
myF_is_ds = not is_path_like(filename)
if myF_is_ds:
myFile = filename
filename = None
else:
myFile = open_ds(filename, gdal.GA_ReadOnly)
if not myFile:
raise IOError(f"No such file or directory: '{filename}'")
myFileNames.append(filename)
myFiles.append(myFile)
myBands.append(myBand)
myAlphaList.append(alpha)
dt = myFile.GetRasterBand(myBand).DataType
myDataType.append(gdal.GetDataTypeName(dt))
myDataTypeNum.append(dt)
myNDV.append(None if hideNoData else myFile.GetRasterBand(myBand).GetNoDataValue())
# check that the dimensions of each layer are the same
myFileDimensions = [myFile.RasterXSize, myFile.RasterYSize]
if DimensionsCheck:
if DimensionsCheck != myFileDimensions:
GeoTransformDiffer = True
if extent in [Extent.IGNORE, Extent.FAIL]:
raise Exception(
f"Error! Dimensions of file {filename} ({myFileDimensions[0]:d}, "
f"{myFileDimensions[1]:d}) are different from other files "
f"({DimensionsCheck[0]:d}, {DimensionsCheck[1]:d}). Cannot proceed")
else:
DimensionsCheck = myFileDimensions
# check that the Projection of each layer are the same
myProjection = myFile.GetProjection()
if ProjectionCheck:
if projectionCheck and ProjectionCheck != myProjection:
raise Exception(
f"Error! Projection of file {filename} {myProjection} "
f"are different from other files {ProjectionCheck}. Cannot proceed")
else:
ProjectionCheck = myProjection
# check that the GeoTransforms of each layer are the same
myFileGeoTransform = myFile.GetGeoTransform(can_return_null=True)
if extent == Extent.IGNORE:
GeoTransformCheck = myFileGeoTransform
else:
Dimensions.append(myFileDimensions)
GeoTransforms.append(myFileGeoTransform)
if not GeoTransformCheck:
GeoTransformCheck = myFileGeoTransform
else:
my_gt_diff = extent_util.gt_diff(GeoTransformCheck, myFileGeoTransform, eps=compatible_gt_eps,
diff_support=gt_diff_support)
if my_gt_diff not in [GT.SAME, GT.ALMOST_SAME]:
GeoTransformDiffer = True
if my_gt_diff != GT.COMPATIBLE_DIFF:
raise Exception(
f"Error! GeoTransform of file {filename} {myFileGeoTransform} is incompatible "
f"({gt_diff_error[my_gt_diff]}), first file GeoTransform is {GeoTransformCheck}. "
f"Cannot proceed")
if debug:
print(
f"file {alpha}: {filename}, dimensions: "
f"{DimensionsCheck[0]}, {DimensionsCheck[1]}, type: {myDataType[-1]}")
# process allBands option
allBandsIndex = None
allBandsCount = 1
if allBands:
if len(calc) > 1:
raise Exception("Error! --allBands implies a single --calc")
try:
allBandsIndex = myAlphaList.index(allBands)
except ValueError:
raise Exception(f"Error! allBands option was given but Band {allBands} not found. Cannot proceed")
allBandsCount = myFiles[allBandsIndex].RasterCount
if allBandsCount <= 1:
allBandsIndex = None
else:
allBandsCount = len(calc)
if extent not in [Extent.IGNORE, Extent.FAIL] and (
GeoTransformDiffer or isinstance(extent, GeoRectangle)):
# mixing different GeoTransforms/Extents
GeoTransformCheck, DimensionsCheck, ExtentCheck = extent_util.calc_geotransform_and_dimensions(
GeoTransforms, Dimensions, extent)
if GeoTransformCheck is None:
raise Exception("Error! The requested extent is empty. Cannot proceed")
for i in range(len(myFileNames)):
temp_vrt_filename, temp_vrt_ds = extent_util.make_temp_vrt(myFiles[i], ExtentCheck)
myTempFileNames.append(temp_vrt_filename)
myFiles[i] = None # close original ds
myFiles[i] = temp_vrt_ds # replace original ds with vrt_ds
# update the new precise dimensions and gt from the new ds
GeoTransformCheck = temp_vrt_ds.GetGeoTransform()
DimensionsCheck = [temp_vrt_ds.RasterXSize, temp_vrt_ds.RasterYSize]
temp_vrt_ds = None
################################################################
# set up output file
################################################################
# open output file exists
if outfile and os.path.isfile(outfile) and not overwrite:
if allBandsIndex is not None:
raise Exception("Error! allBands option was given but Output file exists, must use --overwrite option!")
if len(calc) > 1:
raise Exception(
"Error! multiple calc options were given but Output file exists, must use --overwrite option!")
if debug:
print(f"Output file {outfile} exists - filling in results into file")
myOut = open_ds(outfile, gdal.GA_Update)
if myOut is None:
error = 'but cannot be opened for update'
elif [myOut.RasterXSize, myOut.RasterYSize] != DimensionsCheck:
error = 'but is the wrong size'
elif ProjectionCheck and ProjectionCheck != myOut.GetProjection():
error = 'but is the wrong projection'
elif GeoTransformCheck and GeoTransformCheck != myOut.GetGeoTransform(can_return_null=True):
error = 'but is the wrong geotransform'
else:
error = None
if error:
raise Exception(
f"Error! Output exists, {error}. Use the --overwrite option "
f"to automatically overwrite the existing file")
myOutB = myOut.GetRasterBand(1)
myOutNDV = myOutB.GetNoDataValue()
myOutType = myOutB.DataType
else:
if outfile:
# remove existing file and regenerate
if os.path.isfile(outfile):
os.remove(outfile)
# create a new file
if debug:
print(f"Generating output file {outfile}")
else:
outfile = ''
# find data type to use
if not type:
# use the largest type of the input files
myOutType = max(myDataTypeNum)
else:
myOutType = type
if isinstance(myOutType, str):
myOutType = gdal.GetDataTypeByName(myOutType)
# create file
myOutDrv = gdal.GetDriverByName(format)
myOut = myOutDrv.Create(
os.fspath(outfile), DimensionsCheck[0], DimensionsCheck[1], allBandsCount,
myOutType, creation_options)
# set output geo info based on first input layer
if not GeoTransformCheck:
GeoTransformCheck = myFiles[0].GetGeoTransform(can_return_null=True)
if GeoTransformCheck:
myOut.SetGeoTransform(GeoTransformCheck)
if not ProjectionCheck:
ProjectionCheck = myFiles[0].GetProjection()
if ProjectionCheck:
myOut.SetProjection(ProjectionCheck)
if NoDataValue is None:
myOutNDV = None if hideNoData else DefaultNDVLookup[
myOutType] # use the default noDataValue for this datatype
elif isinstance(NoDataValue, str) and NoDataValue.lower() == 'none':
myOutNDV = None # not to set any noDataValue
else:
myOutNDV = NoDataValue # use the given noDataValue
for i in range(1, allBandsCount + 1):
myOutB = myOut.GetRasterBand(i)
if myOutNDV is not None:
myOutB.SetNoDataValue(myOutNDV)
if color_table:
# set color table and color interpretation
if is_path_like(color_table):
color_table = get_color_table(color_table)
myOutB.SetRasterColorTable(color_table)
myOutB.SetRasterColorInterpretation(gdal.GCI_PaletteIndex)
myOutB = None # write to band
myOutTypeName = gdal.GetDataTypeName(myOutType)
if debug:
print(f"output file: {outfile}, dimensions: {myOut.RasterXSize}, {myOut.RasterYSize}, type: {myOutTypeName}")
################################################################
# find block size to chop grids into bite-sized chunks
################################################################
# use the block size of the first layer to read efficiently
myBlockSize = myFiles[0].GetRasterBand(myBands[0]).GetBlockSize()
# find total x and y blocks to be read
nXBlocks = (int)((DimensionsCheck[0] + myBlockSize[0] - 1) / myBlockSize[0])
nYBlocks = (int)((DimensionsCheck[1] + myBlockSize[1] - 1) / myBlockSize[1])
myBufSize = myBlockSize[0] * myBlockSize[1]
if debug:
print(f"using blocksize {myBlockSize[0]} x {myBlockSize[1]}")
# variables for displaying progress
ProgressCt = -1
ProgressMk = -1
ProgressEnd = nXBlocks * nYBlocks * allBandsCount
################################################################
# start looping through each band in allBandsCount
################################################################
for bandNo in range(1, allBandsCount + 1):
################################################################
# start looping through blocks of data
################################################################
# store these numbers in variables that may change later
nXValid = myBlockSize[0]
nYValid = myBlockSize[1]
# loop through X-lines
for X in range(0, nXBlocks):
# in case the blocks don't fit perfectly
# change the block size of the final piece
if X == nXBlocks - 1:
nXValid = DimensionsCheck[0] - X * myBlockSize[0]
# find X offset
myX = X * myBlockSize[0]
# reset buffer size for start of Y loop
nYValid = myBlockSize[1]
myBufSize = nXValid * nYValid
# loop through Y lines
for Y in range(0, nYBlocks):
ProgressCt += 1
if 10 * ProgressCt / ProgressEnd % 10 != ProgressMk and not quiet:
ProgressMk = 10 * ProgressCt / ProgressEnd % 10
from sys import version_info
if version_info >= (3, 0, 0):
exec('print("%d.." % (10*ProgressMk), end=" ")')
else:
exec('print 10*ProgressMk, "..",')
# change the block size of the final piece
if Y == nYBlocks - 1:
nYValid = DimensionsCheck[1] - Y * myBlockSize[1]
myBufSize = nXValid * nYValid
# find Y offset
myY = Y * myBlockSize[1]
# create empty buffer to mark where nodata occurs
myNDVs = None
# make local namespace for calculation
local_namespace = {}
val_lists = defaultdict(list)
# fetch data for each input layer
for i, Alpha in enumerate(myAlphaList):
# populate lettered arrays with values
if allBandsIndex is not None and allBandsIndex == i:
myBandNo = bandNo
else:
myBandNo = myBands[i]
myval = gdal_array.BandReadAsArray(myFiles[i].GetRasterBand(myBandNo),
xoff=myX, yoff=myY,
win_xsize=nXValid, win_ysize=nYValid)
if myval is None:
raise Exception(f'Input block reading failed from filename {filename[i]}')
# fill in nodata values
if myNDV[i] is not None:
# myNDVs is a boolean buffer.
# a cell equals to 1 if there is NDV in any of the corresponding cells in input raster bands.
if myNDVs is None:
# this is the first band that has NDV set. we initializes myNDVs to a zero buffer
# as we didn't see any NDV value yet.
myNDVs = numpy.zeros(myBufSize)
myNDVs.shape = (nYValid, nXValid)
myNDVs = 1 * numpy.logical_or(myNDVs == 1, myval == myNDV[i])
# add an array of values for this block to the eval namespace
if Alpha in myAlphaFileLists:
val_lists[Alpha].append(myval)
else:
local_namespace[Alpha] = myval
myval = None
for lst in myAlphaFileLists:
local_namespace[lst] = val_lists[lst]
# try the calculation on the array blocks
this_calc = calc[bandNo - 1 if len(calc) > 1 else 0]
try:
myResult = eval(this_calc, global_namespace, local_namespace)
except:
print(f"evaluation of calculation {this_calc} failed")
raise
# Propagate nodata values (set nodata cells to zero
# then add nodata value to these cells).
if myNDVs is not None and myOutNDV is not None:
myResult = ((1 * (myNDVs == 0)) * myResult) + (myOutNDV * myNDVs)
elif not isinstance(myResult, numpy.ndarray):
myResult = numpy.ones((nYValid, nXValid)) * myResult
# write data block to the output file
myOutB = myOut.GetRasterBand(bandNo)
if gdal_array.BandWriteArray(myOutB, myResult, xoff=myX, yoff=myY) != 0:
raise Exception('Block writing failed')
myOutB = None # write to band
# remove temp files
for idx, tempFile in enumerate(myTempFileNames):
myFiles[idx] = None
os.remove(tempFile)
gdal.ErrorReset()
myOut.FlushCache()
if gdal.GetLastErrorMsg() != '':
raise Exception('Dataset writing failed')
if not quiet:
print("100 - Done")
return myOut
def pct2rgb(src_filename: PathLikeOrStr, pct_filename: Optional[PathLikeOrStr], dst_filename: PathLikeOrStr,
band_number: int = 1, out_bands: int = 3, driver_name: Optional[str] = None):
# Open source file
src_ds = open_ds(src_filename)
if src_ds is None:
raise Exception(f'Unable to open {src_filename} ')
src_band = src_ds.GetRasterBand(band_number)
# ----------------------------------------------------------------------------
# Ensure we recognise the driver.
if driver_name is None:
driver_name = GetOutputDriverFor(dst_filename)
dst_driver = gdal.GetDriverByName(driver_name)
if dst_driver is None:
raise Exception(f'"{driver_name}" driver not registered.')
# ----------------------------------------------------------------------------
# Build color table.
if pct_filename is not None:
pal = get_color_palette(pct_filename)
if pal.has_percents():
min_val = src_band.GetMinimum()
max_val = src_band.GetMinimum()
pal.apply_percent(min_val, max_val)
ct = get_color_table(pal)
else:
ct = src_band.GetRasterColorTable()
ct_size = ct.GetCount()
lookup = [np.arange(ct_size),
np.arange(ct_size),
np.arange(ct_size),
np.ones(ct_size) * 255]
if ct is not None:
for i in range(ct_size):
entry = ct.GetColorEntry(i)
for c in range(4):
lookup[c][i] = entry[c]
# ----------------------------------------------------------------------------
# Create the working file.
if driver_name.lower() == 'gtiff':
tif_filename = dst_filename
else:
tif_filename = 'temp.tif'
gtiff_driver = gdal.GetDriverByName('GTiff')
tif_ds = gtiff_driver.Create(tif_filename, src_ds.RasterXSize, src_ds.RasterYSize, out_bands)
# ----------------------------------------------------------------------------
# We should copy projection information and so forth at this point.
tif_ds.SetProjection(src_ds.GetProjection())
tif_ds.SetGeoTransform(src_ds.GetGeoTransform())
if src_ds.GetGCPCount() > 0:
tif_ds.SetGCPs(src_ds.GetGCPs(), src_ds.GetGCPProjection())
# ----------------------------------------------------------------------------
# Do the processing one scanline at a time.
progress(0.0)
for iY in range(src_ds.RasterYSize):
src_data = src_band.ReadAsArray(0, iY, src_ds.RasterXSize, 1)
for iBand in range(out_bands):
band_lookup = lookup[iBand]
dst_data = np.take(band_lookup, src_data)
tif_ds.GetRasterBand(iBand + 1).WriteArray(dst_data, 0, iY)
progress((iY + 1.0) / src_ds.RasterYSize)
# ----------------------------------------------------------------------------
# Translate intermediate file to output format if desired format is not TIFF.
if tif_filename == dst_filename:
dst_ds = tif_ds
else:
dst_ds = dst_driver.CreateCopy(dst_filename or '', tif_ds)
tif_ds = None
gtiff_driver.Delete(tif_filename)
return dst_ds
def rgb2pct(src_filename: PathLikeOrStr,
pct_filename: Optional[PathLikeOrStr] = None,
dst_filename: Optional[PathLikeOrStr] = None,
color_count: int = 256,
driver_name: Optional[str] = None):
# Open source file
src_ds = open_ds(src_filename)
if src_ds is None:
raise Exception(f'Unable to open {src_filename}')
if src_ds.RasterCount < 3:
raise Exception(
f'{src_filename} has {src_ds.RasterCount} band(s), need 3 for inputs red, green and blue.'
)
# Ensure we recognise the driver.
if not driver_name:
driver_name = GetOutputDriverFor(dst_filename)
dst_driver = gdal.GetDriverByName(driver_name)
if dst_driver is None:
raise Exception(f'"{driver_name}" driver not registered.')
# Generate palette
if pct_filename is None:
ct = gdal.ColorTable()
err = gdal.ComputeMedianCutPCT(src_ds.GetRasterBand(1),
src_ds.GetRasterBand(2),
src_ds.GetRasterBand(3),
color_count,
ct,
callback=gdal.TermProgress_nocb)
else:
ct = get_color_table(pct_filename)
# Create the working file. We have to use TIFF since there are few formats
# that allow setting the color table after creation.
if driver_name.lower() == 'gtiff':
tif_filename = dst_filename
else:
import tempfile
tif_filedesc, tif_filename = tempfile.mkstemp(suffix='.tif')
gtiff_driver = gdal.GetDriverByName('GTiff')
tif_ds = gtiff_driver.Create(tif_filename, src_ds.RasterXSize,
src_ds.RasterYSize, 1)
tif_ds.GetRasterBand(1).SetRasterColorTable(ct)
# ----------------------------------------------------------------------------
# We should copy projection information and so forth at this point.
tif_ds.SetProjection(src_ds.GetProjection())
tif_ds.SetGeoTransform(src_ds.GetGeoTransform())
if src_ds.GetGCPCount() > 0:
tif_ds.SetGCPs(src_ds.GetGCPs(), src_ds.GetGCPProjection())
# ----------------------------------------------------------------------------
# Actually transfer and dither the data.
err = gdal.DitherRGB2PCT(src_ds.GetRasterBand(1),
src_ds.GetRasterBand(2),
src_ds.GetRasterBand(3),
tif_ds.GetRasterBand(1),
ct,
callback=gdal.TermProgress_nocb)
if err != gdal.CE_None:
raise Exception('DitherRGB2PCT failed')
if tif_filename == dst_filename:
dst_ds = tif_ds
else:
dst_ds = dst_driver.CreateCopy(dst_filename or '', tif_ds)
tif_ds = None
os.close(tif_filedesc)
gtiff_driver.Delete(tif_filename)
return dst_ds
def gdalos_raster_color(filename_or_ds: gdal.Dataset,
color_palette: ColorPalette,
out_filename: str = None,
output_format: str = None,
discrete_mode=DiscreteMode.interp) -> gdal.Dataset:
ds = gdalos_util.open_ds(filename_or_ds)
if color_palette is None:
return ds
if not output_format:
output_format = 'GTiff' if out_filename else 'MEM'
if not out_filename:
out_filename = ''
if output_format != 'MEM':
raise Exception('output filename is None')
if discrete_mode in [DiscreteMode.interp, DiscreteMode.near]:
temp_color_filename = color_palette.write_color_file()
dem_options = {
'options': ['-nearest_color_entry']
if discrete_mode == DiscreteMode.near else [],
'addAlpha':
True,
'format':
output_format,
'processing':
'color-relief',
'colorFilename':
str(temp_color_filename)
}
ds = gdal.DEMProcessing(str(out_filename), ds, **dem_options)
os.remove(temp_color_filename)
elif discrete_mode in [DiscreteMode.up, DiscreteMode.down]:
color_palette_copy = copy.deepcopy(color_palette)
if color_palette.has_percents:
min_max = gdalos_util.get_raster_min_max(ds)
color_palette_copy.apply_percent(*min_max)
values = []
for key in color_palette_copy.pal.keys():
if not isinstance(key, str):
values.append(key)
if not values:
raise Exception('no absolute values found in the palette')
f = partial(cont2discrete_array,
values=values,
discrete_mode=discrete_mode)
calc_expr = 'f(x)'
calc_kwargs = dict(x=ds)
user_namespace = dict(f=f)
color_palette_copy.to_serial_values()
color_table = get_color_table(color_palette_copy)
meta = gdal_to_czml.make_czml_description(color_palette_copy)
ds = gdal_calc.Calc(calc_expr,
type=gdal.GDT_Byte,
outfile=str(out_filename),
format=output_format,
color_table=color_table,
overwrite=True,
user_namespace=user_namespace,
**calc_kwargs)
ds.SetMetadataItem(gdal_to_czml.czml_metadata_name, meta)
if ds is None:
raise Exception('fail to color')
return ds
kwargs = dict()
if method == 1:
kwargs['filenames'] = filenames
kwargs['extent'] = extent
else:
if not isUnion and not isIntersection:
continue
vrt_filenames, c_extent = make_verts(filenames, isUnion)
kwargs['filenames'] = vrt_filenames
do_comb(alpha_pattern=alpha_pattern, outfile=outfile, color_table=color_table, hideNodata=True, **kwargs)
if __name__ == '__main__':
path = Path(r'sample')
color_filename = path / Path(r'color_files/viewshed/sum.qlr')
pal = ColorPalette()
pal.read(color_filename)
pal.write_color_file(color_filename.with_suffix('.txt'))
color_table = get_color_table(pal)
alpha_pattern = '1*({}>3)'
path = Path('/home/idan/maps/comb/vs')
outpath = path / 'comb'
combine_all(path, outpath)
total = compare_rasters(outpath / '*_u*') + \
compare_rasters(outpath / '*_i*') + \
compare_rasters(outpath / '*_c*')
print('grand total: {}'.format(total))
