46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
"""
|
|
GDAL - Constant definitions
|
|
"""
|
|
from ctypes import (
|
|
c_byte, c_double, c_float, c_int16, c_int32, c_uint16, c_uint32,
|
|
)
|
|
|
|
# See http://www.gdal.org/gdal_8h.html#a22e22ce0a55036a96f652765793fb7a4
|
|
GDAL_PIXEL_TYPES = {
|
|
0: 'GDT_Unknown', # Unknown or unspecified type
|
|
1: 'GDT_Byte', # Eight bit unsigned integer
|
|
2: 'GDT_UInt16', # Sixteen bit unsigned integer
|
|
3: 'GDT_Int16', # Sixteen bit signed integer
|
|
4: 'GDT_UInt32', # Thirty-two bit unsigned integer
|
|
5: 'GDT_Int32', # Thirty-two bit signed integer
|
|
6: 'GDT_Float32', # Thirty-two bit floating point
|
|
7: 'GDT_Float64', # Sixty-four bit floating point
|
|
8: 'GDT_CInt16', # Complex Int16
|
|
9: 'GDT_CInt32', # Complex Int32
|
|
10: 'GDT_CFloat32', # Complex Float32
|
|
11: 'GDT_CFloat64', # Complex Float64
|
|
}
|
|
|
|
# A list of gdal datatypes that are integers.
|
|
GDAL_INTEGER_TYPES = [1, 2, 3, 4, 5]
|
|
|
|
# Lookup values to convert GDAL pixel type indices into ctypes objects.
|
|
# The GDAL band-io works with ctypes arrays to hold data to be written
|
|
# or to hold the space for data to be read into. The lookup below helps
|
|
# selecting the right ctypes object for a given gdal pixel type.
|
|
GDAL_TO_CTYPES = [
|
|
None, c_byte, c_uint16, c_int16, c_uint32, c_int32,
|
|
c_float, c_double, None, None, None, None
|
|
]
|
|
|
|
# List of resampling algorithms that can be used to warp a GDALRaster.
|
|
GDAL_RESAMPLE_ALGORITHMS = {
|
|
'NearestNeighbour': 0,
|
|
'Bilinear': 1,
|
|
'Cubic': 2,
|
|
'CubicSpline': 3,
|
|
'Lanczos': 4,
|
|
'Average': 5,
|
|
'Mode': 6,
|
|
}
|