# This file was automatically generated by SWIG (http://www.swig.org). # Version 3.0.12 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info as _swig_python_version_info if _swig_python_version_info >= (2, 7, 0): def swig_import_helper(): import importlib pkg = __name__.rpartition('.')[0] mname = '.'.join((pkg, '_gdal_array')).lstrip('.') try: return importlib.import_module(mname) except ImportError: return importlib.import_module('_gdal_array') _gdal_array = swig_import_helper() del swig_import_helper elif _swig_python_version_info >= (2, 6, 0): def swig_import_helper(): from os.path import dirname import imp fp = None try: fp, pathname, description = imp.find_module('_gdal_array', [dirname(__file__)]) except ImportError: import _gdal_array return _gdal_array try: _mod = imp.load_module('_gdal_array', fp, pathname, description) finally: if fp is not None: fp.close() return _mod _gdal_array = swig_import_helper() del swig_import_helper else: import _gdal_array del _swig_python_version_info try: _swig_property = property except NameError: pass # Python < 2.2 doesn't have 'property'. try: import builtins as __builtin__ except ImportError: import __builtin__ def _swig_setattr_nondynamic(self, class_type, name, value, static=1): if (name == "thisown"): return self.this.own(value) if (name == "this"): if type(value).__name__ == 'SwigPyObject': self.__dict__[name] = value return method = class_type.__swig_setmethods__.get(name, None) if method: return method(self, value) if (not static): if _newclass: object.__setattr__(self, name, value) else: self.__dict__[name] = value else: raise AttributeError("You cannot add attributes to %s" % self) def _swig_setattr(self, class_type, name, value): return _swig_setattr_nondynamic(self, class_type, name, value, 0) def _swig_getattr(self, class_type, name): if (name == "thisown"): return self.this.own() method = class_type.__swig_getmethods__.get(name, None) if method: return method(self) raise AttributeError("'%s' object has no attribute '%s'" % (class_type.__name__, name)) def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except __builtin__.Exception: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) try: _object = object _newclass = 1 except __builtin__.Exception: class _object: pass _newclass = 0 from sys import version_info as _swig_python_version_info if _swig_python_version_info >= (2, 7, 0): from . import gdal else: import gdal del _swig_python_version_info class VirtualMem(_object): """Proxy of C++ CPLVirtualMemShadow class.""" __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, VirtualMem, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, VirtualMem, name) def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined") __repr__ = _swig_repr __swig_destroy__ = _gdal_array.delete_VirtualMem __del__ = lambda self: None def GetAddr(self): """GetAddr(VirtualMem self)""" return _gdal_array.VirtualMem_GetAddr(self) def Pin(self, start_offset=0, nsize=0, bWriteOp=0): """ Pin(VirtualMem self, size_t start_offset=0, size_t nsize=0, int bWriteOp=0) Pin(VirtualMem self, size_t start_offset=0, size_t nsize=0) Pin(VirtualMem self, size_t start_offset=0) Pin(VirtualMem self) """ return _gdal_array.VirtualMem_Pin(self, start_offset, nsize, bWriteOp) VirtualMem_swigregister = _gdal_array.VirtualMem_swigregister VirtualMem_swigregister(VirtualMem) def _StoreLastException(): """_StoreLastException()""" return _gdal_array._StoreLastException() def TermProgress_nocb(dfProgress, pszMessage=None, pData=None): """TermProgress_nocb(double dfProgress, char const * pszMessage=None, void * pData=None) -> int""" return _gdal_array.TermProgress_nocb(dfProgress, pszMessage, pData) TermProgress = _gdal_array.TermProgress def OpenNumPyArray(psArray, binterleave): """OpenNumPyArray(PyArrayObject * psArray, bool binterleave) -> Dataset""" return _gdal_array.OpenNumPyArray(psArray, binterleave) def OpenMultiDimensionalNumPyArray(psArray): """OpenMultiDimensionalNumPyArray(PyArrayObject * psArray) -> Dataset""" return _gdal_array.OpenMultiDimensionalNumPyArray(psArray) def GetArrayFilename(psArray): """GetArrayFilename(PyArrayObject * psArray) -> retStringAndCPLFree *""" return _gdal_array.GetArrayFilename(psArray) def BandRasterIONumPy(band, bWrite, xoff, yoff, xsize, ysize, psArray, buf_type, resample_alg, callback=0, callback_data=None): """BandRasterIONumPy(Band band, int bWrite, double xoff, double yoff, double xsize, double ysize, PyArrayObject * psArray, GDALDataType buf_type, GDALRIOResampleAlg resample_alg, GDALProgressFunc callback=0, void * callback_data=None) -> CPLErr""" return _gdal_array.BandRasterIONumPy(band, bWrite, xoff, yoff, xsize, ysize, psArray, buf_type, resample_alg, callback, callback_data) def DatasetIONumPy(ds, bWrite, xoff, yoff, xsize, ysize, psArray, buf_type, resample_alg, callback=0, callback_data=None, binterleave=True, band_list=0): """DatasetIONumPy(Dataset ds, int bWrite, double xoff, double yoff, double xsize, double ysize, PyArrayObject * psArray, GDALDataType buf_type, GDALRIOResampleAlg resample_alg, GDALProgressFunc callback=0, void * callback_data=None, bool binterleave=True, int band_list=0) -> CPLErr""" return _gdal_array.DatasetIONumPy(ds, bWrite, xoff, yoff, xsize, ysize, psArray, buf_type, resample_alg, callback, callback_data, binterleave, band_list) def MDArrayIONumPy(bWrite, mdarray, psArray, nDims1, nDims3, buffer_datatype): """MDArrayIONumPy(bool bWrite, GDALMDArrayHS * mdarray, PyArrayObject * psArray, int nDims1, int nDims3, GDALExtendedDataTypeHS * buffer_datatype) -> CPLErr""" return _gdal_array.MDArrayIONumPy(bWrite, mdarray, psArray, nDims1, nDims3, buffer_datatype) def VirtualMemGetArray(virtualmem): """VirtualMemGetArray(VirtualMem virtualmem)""" return _gdal_array.VirtualMemGetArray(virtualmem) def RATValuesIONumPyWrite(poRAT, nField, nStart, psArray): """RATValuesIONumPyWrite(RasterAttributeTable poRAT, int nField, int nStart, PyArrayObject * psArray) -> CPLErr""" return _gdal_array.RATValuesIONumPyWrite(poRAT, nField, nStart, psArray) def RATValuesIONumPyRead(poRAT, nField, nStart, nLength): """RATValuesIONumPyRead(RasterAttributeTable poRAT, int nField, int nStart, int nLength) -> PyObject *""" return _gdal_array.RATValuesIONumPyRead(poRAT, nField, nStart, nLength) import numpy from osgeo import gdalconst from osgeo import gdal gdal.AllRegister() codes = {gdalconst.GDT_Byte: numpy.uint8, gdalconst.GDT_UInt16: numpy.uint16, gdalconst.GDT_Int16: numpy.int16, gdalconst.GDT_UInt32: numpy.uint32, gdalconst.GDT_Int32: numpy.int32, gdalconst.GDT_Float32: numpy.float32, gdalconst.GDT_Float64: numpy.float64, gdalconst.GDT_CInt16: numpy.complex64, gdalconst.GDT_CInt32: numpy.complex64, gdalconst.GDT_CFloat32: numpy.complex64, gdalconst.GDT_CFloat64: numpy.complex128} def OpenArray(array, prototype_ds=None, interleave='band'): interleave = interleave.lower() if interleave == 'band': interleave = True elif interleave == 'pixel': interleave = False else: raise ValueError('Interleave should be band or pixel') ds = OpenNumPyArray(array, interleave) if ds is not None and prototype_ds is not None: if type(prototype_ds).__name__ == 'str': prototype_ds = gdal.Open(prototype_ds) if prototype_ds is not None: CopyDatasetInfo(prototype_ds, ds) return ds def flip_code(code): if isinstance(code, (numpy.dtype, type)): # since several things map to complex64 we must carefully select # the opposite that is an exact match (ticket 1518) if code == numpy.int8: return gdalconst.GDT_Byte if code == numpy.complex64: return gdalconst.GDT_CFloat32 for key, value in codes.items(): if value == code: return key return None else: try: return codes[code] except KeyError: return None def NumericTypeCodeToGDALTypeCode(numeric_type): if not isinstance(numeric_type, (numpy.dtype, type)): raise TypeError("Input must be a type") return flip_code(numeric_type) def GDALTypeCodeToNumericTypeCode(gdal_code): return flip_code(gdal_code) def _RaiseException(): if gdal.GetUseExceptions(): _StoreLastException() raise RuntimeError(gdal.GetLastErrorMsg()) def LoadFile(filename, xoff=0, yoff=0, xsize=None, ysize=None, buf_xsize=None, buf_ysize=None, buf_type=None, resample_alg=gdal.GRIORA_NearestNeighbour, callback=None, callback_data=None, interleave='band', band_list=None): ds = gdal.Open(filename) if ds is None: raise ValueError("Can't open "+filename+"\n\n"+gdal.GetLastErrorMsg()) return DatasetReadAsArray(ds, xoff, yoff, xsize, ysize, buf_xsize=buf_xsize, buf_ysize=buf_ysize, buf_type=buf_type, resample_alg=resample_alg, callback=callback, callback_data=callback_data, interleave=interleave, band_list=band_list) def SaveArray(src_array, filename, format="GTiff", prototype=None, interleave='band'): driver = gdal.GetDriverByName(format) if driver is None: raise ValueError("Can't find driver "+format) return driver.CreateCopy(filename, OpenArray(src_array, prototype, interleave)) def DatasetReadAsArray(ds, xoff=0, yoff=0, win_xsize=None, win_ysize=None, buf_obj=None, buf_xsize=None, buf_ysize=None, buf_type=None, resample_alg=gdal.GRIORA_NearestNeighbour, callback=None, callback_data=None, interleave='band', band_list=None): """Pure python implementation of reading a chunk of a GDAL file into a numpy array. Used by the gdal.Dataset.ReadAsArray method.""" if win_xsize is None: win_xsize = ds.RasterXSize if win_ysize is None: win_ysize = ds.RasterYSize if band_list is None: band_list = list(range(1, ds.RasterCount + 1)) interleave = interleave.lower() if interleave == 'band': interleave = True xdim = 2 ydim = 1 banddim = 0 elif interleave == 'pixel': interleave = False xdim = 1 ydim = 0 banddim = 2 else: raise ValueError('Interleave should be band or pixel') nbands = len(band_list) if nbands == 0: return None if nbands == 1: return BandReadAsArray(ds.GetRasterBand(band_list[0]), xoff, yoff, win_xsize, win_ysize, buf_xsize=buf_xsize, buf_ysize=buf_ysize, buf_type=buf_type, buf_obj=buf_obj, resample_alg=resample_alg, callback=callback, callback_data=callback_data) if buf_obj is None: if buf_xsize is None: buf_xsize = win_xsize if buf_ysize is None: buf_ysize = win_ysize if buf_type is None: buf_type = ds.GetRasterBand(band_list[0]).DataType for idx in range(1, nbands): band_index = band_list[idx] if buf_type != ds.GetRasterBand(band_index).DataType: buf_type = gdalconst.GDT_Float32 typecode = GDALTypeCodeToNumericTypeCode(buf_type) if typecode is None: buf_type = gdalconst.GDT_Float32 typecode = numpy.float32 else: buf_type = NumericTypeCodeToGDALTypeCode(typecode) if buf_type == gdalconst.GDT_Byte and ds.GetRasterBand(1).GetMetadataItem('PIXELTYPE', 'IMAGE_STRUCTURE') == 'SIGNEDBYTE': typecode = numpy.int8 buf_shape = (nbands, buf_ysize, buf_xsize) if interleave else (buf_ysize, buf_xsize, nbands) buf_obj = numpy.empty(buf_shape, dtype=typecode) else: if len(buf_obj.shape) != 3: raise ValueError('Array should have 3 dimensions') shape_buf_xsize = buf_obj.shape[xdim] shape_buf_ysize = buf_obj.shape[ydim] if buf_xsize is not None and buf_xsize != shape_buf_xsize: raise ValueError('Specified buf_xsize not consistent with array shape') if buf_ysize is not None and buf_ysize != shape_buf_ysize: raise ValueError('Specified buf_ysize not consistent with array shape') if buf_obj.shape[banddim] != nbands: raise ValueError('Dimension %d of array should have size %d to store bands)' % (banddim, nbands)) datatype = NumericTypeCodeToGDALTypeCode(buf_obj.dtype.type) if not datatype: raise ValueError("array does not have corresponding GDAL data type") if buf_type is not None and buf_type != datatype: raise ValueError("Specified buf_type not consistent with array type") buf_type = datatype if DatasetIONumPy(ds, 0, xoff, yoff, win_xsize, win_ysize, buf_obj, buf_type, resample_alg, callback, callback_data, interleave, band_list) != 0: _RaiseException() return None return buf_obj def DatasetWriteArray(ds, array, xoff=0, yoff=0, band_list=None, interleave='band', resample_alg=gdal.GRIORA_NearestNeighbour, callback=None, callback_data=None): """Pure python implementation of writing a chunk of a GDAL file from a numpy array. Used by the gdal.Dataset.WriteArray method.""" if band_list is None: band_list = list(range(1, ds.RasterCount + 1)) interleave = interleave.lower() if interleave == 'band': interleave = True xdim = 2 ydim = 1 banddim = 0 elif interleave == 'pixel': interleave = False xdim = 1 ydim = 0 banddim = 2 else: raise ValueError('Interleave should be band or pixel') if len(band_list) == 1: if array is None or (len(array.shape) != 2 and len(array.shape) != 3): raise ValueError("expected array of dim 2 or 3") if len(array.shape) == 3: if array.shape[banddim] != 1: raise ValueError("expected size of dimension %d should be 1" % banddim) array = array[banddim] return BandWriteArray(ds.GetRasterBand(band_list[0]), array, xoff=xoff, yoff=yoff, resample_alg=resample_alg, callback=callback, callback_data=callback_data) if array is None or len(array.shape) != 3: raise ValueError("expected array of dim 3") xsize = array.shape[xdim] ysize = array.shape[ydim] if xsize + xoff > ds.RasterXSize or ysize + yoff > ds.RasterYSize: raise ValueError("array larger than output file, or offset off edge") if array.shape[banddim] != len(band_list): raise ValueError('Dimension %d of array should have size %d to store bands)' % (banddim, len(band_list))) datatype = NumericTypeCodeToGDALTypeCode(array.dtype.type) # if we receive some odd type, like int64, try casting to a very # generic type we do support (#2285) if not datatype: gdal.Debug('gdal_array', 'force array to float64') array = array.astype(numpy.float64) datatype = NumericTypeCodeToGDALTypeCode(array.dtype.type) if not datatype: raise ValueError("array does not have corresponding GDAL data type") ret = DatasetIONumPy(ds, 1, xoff, yoff, xsize, ysize, array, datatype, resample_alg, callback, callback_data, interleave, band_list) if ret != 0: _RaiseException() return ret def BandReadAsArray(band, xoff=0, yoff=0, win_xsize=None, win_ysize=None, buf_xsize=None, buf_ysize=None, buf_type=None, buf_obj=None, resample_alg=gdal.GRIORA_NearestNeighbour, callback=None, callback_data=None): """Pure python implementation of reading a chunk of a GDAL file into a numpy array. Used by the gdal.Band.ReadAsArray method.""" if win_xsize is None: win_xsize = band.XSize if win_ysize is None: win_ysize = band.YSize if buf_obj is None: if buf_xsize is None: buf_xsize = win_xsize if buf_ysize is None: buf_ysize = win_ysize if buf_type is None: buf_type = band.DataType typecode = GDALTypeCodeToNumericTypeCode(buf_type) if typecode is None: buf_type = gdalconst.GDT_Float32 typecode = numpy.float32 else: buf_type = NumericTypeCodeToGDALTypeCode(typecode) if buf_type == gdalconst.GDT_Byte and band.GetMetadataItem('PIXELTYPE', 'IMAGE_STRUCTURE') == 'SIGNEDBYTE': typecode = numpy.int8 buf_obj = numpy.empty([buf_ysize, buf_xsize], dtype=typecode) else: if len(buf_obj.shape) not in (2, 3): raise ValueError("expected array of dimension 2 or 3") if len(buf_obj.shape) == 2: shape_buf_xsize = buf_obj.shape[1] shape_buf_ysize = buf_obj.shape[0] else: if buf_obj.shape[0] != 1: raise ValueError("expected size of first dimension should be 0") shape_buf_xsize = buf_obj.shape[2] shape_buf_ysize = buf_obj.shape[1] if buf_xsize is not None and buf_xsize != shape_buf_xsize: raise ValueError('Specified buf_xsize not consistent with array shape') if buf_ysize is not None and buf_ysize != shape_buf_ysize: raise ValueError('Specified buf_ysize not consistent with array shape') datatype = NumericTypeCodeToGDALTypeCode(buf_obj.dtype.type) if not datatype: raise ValueError("array does not have corresponding GDAL data type") if buf_type is not None and buf_type != datatype: raise ValueError("Specified buf_type not consistent with array type") buf_type = datatype if BandRasterIONumPy(band, 0, xoff, yoff, win_xsize, win_ysize, buf_obj, buf_type, resample_alg, callback, callback_data) != 0: _RaiseException() return None return buf_obj def BandWriteArray(band, array, xoff=0, yoff=0, resample_alg=gdal.GRIORA_NearestNeighbour, callback=None, callback_data=None): """Pure python implementation of writing a chunk of a GDAL file from a numpy array. Used by the gdal.Band.WriteArray method.""" if array is None or len(array.shape) != 2: raise ValueError("expected array of dim 2") xsize = array.shape[1] ysize = array.shape[0] if xsize + xoff > band.XSize or ysize + yoff > band.YSize: raise ValueError("array larger than output file, or offset off edge") datatype = NumericTypeCodeToGDALTypeCode(array.dtype.type) # if we receive some odd type, like int64, try casting to a very # generic type we do support (#2285) if not datatype: gdal.Debug('gdal_array', 'force array to float64') array = array.astype(numpy.float64) datatype = NumericTypeCodeToGDALTypeCode(array.dtype.type) if not datatype: raise ValueError("array does not have corresponding GDAL data type") ret = BandRasterIONumPy(band, 1, xoff, yoff, xsize, ysize, array, datatype, resample_alg, callback, callback_data) if ret != 0: _RaiseException() return ret def _ExtendedDataTypeToNumPyDataType(dt): klass = dt.GetClass() if klass == gdal.GEDTC_STRING: return numpy.bytes_, dt if klass == gdal.GEDTC_NUMERIC: buf_type = dt.GetNumericDataType() typecode = GDALTypeCodeToNumericTypeCode(buf_type) if typecode is None: typecode = numpy.float32 dt = gdal.ExtendedDataType.Create(gdal.GDT_Float32) else: dt = gdal.ExtendedDataType.Create(NumericTypeCodeToGDALTypeCode(typecode)) return typecode, dt assert klass == gdal.GEDTC_COMPOUND names = [] formats = [] offsets = [] for comp in dt.GetComponents(): names.append(comp.GetName()) typecode, subdt = _ExtendedDataTypeToNumPyDataType(comp.GetType()) if subdt != comp.GetType(): raise Exception("Incompatible datatype") formats.append(typecode) offsets.append(comp.GetOffset()) return numpy.dtype({'names': names, 'formats': formats, 'offsets': offsets, 'itemsize': dt.GetSize()}), dt def ExtendedDataTypeToNumPyDataType(dt): typecode, _ = _ExtendedDataTypeToNumPyDataType(dt) return typecode def MDArrayReadAsArray(mdarray, array_start_idx = None, count = None, array_step = None, buffer_datatype = None, buf_obj = None): if not array_start_idx: array_start_idx = [0] * mdarray.GetDimensionCount() if not count: count = [ dim.GetSize() for dim in mdarray.GetDimensions() ] if not array_step: array_step = [1] * mdarray.GetDimensionCount() if buf_obj is None: if not buffer_datatype: buffer_datatype = mdarray.GetDataType() typecode, buffer_datatype = _ExtendedDataTypeToNumPyDataType(buffer_datatype) buf_obj = numpy.empty(count, dtype=typecode) else: datatype = NumericTypeCodeToGDALTypeCode(buf_obj.dtype.type) if not datatype: raise ValueError("array does not have corresponding GDAL data type") buffer_datatype = gdal.ExtendedDataType.Create(datatype) ret = MDArrayIONumPy(False, mdarray, buf_obj, array_start_idx, array_step, buffer_datatype) if ret != 0: _RaiseException() return buf_obj def MDArrayWriteArray(mdarray, array, array_start_idx = None, array_step = None): if not array_start_idx: array_start_idx = [0] * mdarray.GetDimensionCount() if not array_step: array_step = [1] * mdarray.GetDimensionCount() buffer_datatype = mdarray.GetDataType() typecode = ExtendedDataTypeToNumPyDataType(buffer_datatype) if array.dtype != typecode: datatype = NumericTypeCodeToGDALTypeCode(array.dtype.type) # if we receive some odd type, like int64, try casting to a very # generic type we do support (#2285) if not datatype: gdal.Debug('gdal_array', 'force array to float64') array = array.astype(numpy.float64) datatype = NumericTypeCodeToGDALTypeCode(array.dtype.type) if not datatype: raise ValueError("array does not have corresponding GDAL data type") buffer_datatype = gdal.ExtendedDataType.Create(datatype) ret = MDArrayIONumPy(True, mdarray, array, array_start_idx, array_step, buffer_datatype) if ret != 0: _RaiseException() return ret def RATWriteArray(rat, array, field, start=0): """ Pure Python implementation of writing a chunk of the RAT from a numpy array. Type of array is coerced to one of the types (int, double, string) supported. Called from RasterAttributeTable.WriteArray """ if array is None: raise ValueError("Expected array of dim 1") # if not the array type convert it to handle lists etc if not isinstance(array, numpy.ndarray): array = numpy.array(array) if array.ndim != 1: raise ValueError("Expected array of dim 1") if (start + array.size) > rat.GetRowCount(): raise ValueError("Array too big to fit into RAT from start position") if numpy.issubdtype(array.dtype, numpy.integer): # is some type of integer - coerce to standard int # TODO: must check this is fine on all platforms # confusingly numpy.int 64 bit even if native type 32 bit array = array.astype(numpy.int32) elif numpy.issubdtype(array.dtype, numpy.floating): # is some type of floating point - coerce to double array = array.astype(numpy.double) elif numpy.issubdtype(array.dtype, numpy.character): # cast away any kind of Unicode etc array = array.astype(bytes) else: raise ValueError("Array not of a supported type (integer, double or string)") ret = RATValuesIONumPyWrite(rat, field, start, array) if ret != 0: _RaiseException() return ret def RATReadArray(rat, field, start=0, length=None): """ Pure Python implementation of reading a chunk of the RAT into a numpy array. Called from RasterAttributeTable.ReadAsArray """ if length is None: length = rat.GetRowCount() - start ret = RATValuesIONumPyRead(rat, field, start, length) if ret is None: _RaiseException() return ret def CopyDatasetInfo(src, dst, xoff=0, yoff=0): """ Copy georeferencing information and metadata from one dataset to another. src: input dataset dst: output dataset - It can be a ROI - xoff, yoff: dst's offset with respect to src in pixel/line. Notes: Destination dataset must have update access. Certain formats do not support creation of geotransforms and/or gcps. """ dst.SetMetadata(src.GetMetadata()) #Check for geo transform gt = src.GetGeoTransform() if gt != (0, 1, 0, 0, 0, 1): dst.SetProjection(src.GetProjectionRef()) if xoff == 0 and yoff == 0: dst.SetGeoTransform(gt) else: ngt = [gt[0], gt[1], gt[2], gt[3], gt[4], gt[5]] ngt[0] = gt[0] + xoff*gt[1] + yoff*gt[2] ngt[3] = gt[3] + xoff*gt[4] + yoff*gt[5] dst.SetGeoTransform((ngt[0], ngt[1], ngt[2], ngt[3], ngt[4], ngt[5])) #Check for GCPs elif src.GetGCPCount() > 0: if (xoff == 0) and (yoff == 0): dst.SetGCPs(src.GetGCPs(), src.GetGCPProjection()) else: gcps = src.GetGCPs() #Shift gcps new_gcps = [] for gcp in gcps: ngcp = gdal.GCP() ngcp.GCPX = gcp.GCPX ngcp.GCPY = gcp.GCPY ngcp.GCPZ = gcp.GCPZ ngcp.GCPPixel = gcp.GCPPixel - xoff ngcp.GCPLine = gcp.GCPLine - yoff ngcp.Info = gcp.Info ngcp.Id = gcp.Id new_gcps.append(ngcp) try: dst.SetGCPs(new_gcps, src.GetGCPProjection()) except: print("Failed to set GCPs") return return # This file is compatible with both classic and new-style classes.