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imgsample.py
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imgsample.py
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import sys
import numpy
import cffi
ffi = cffi.FFI()
with open('imgsample.h') as my_header:
ffi.cdef(my_header.read())
with open('imgsample.c') as my_source:
if __debug__:
print('Building the debug build...')
ffi.set_source(
'_imgsample',
my_source.read(),
extra_compile_args=['-Werror', '-pedantic', '-Wall', '-g', '-O0']
)
else:
print('Building for performance without OpenMP...')
ffi.set_source(
'_imgsample',
my_source.read(),
extra_compile_args=['-Ofast']
)
ffi.compile() # convert and compile - mandatory!
import _imgsample
# window size 2
# 2D array
my_input = numpy.array(
[
[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[13, 14, 15, 16],
], dtype=numpy.float32
)
window_size = 2
sample_count = (my_input.shape[0] - window_size + 1) * (my_input.shape[1] - window_size + 1)
print('window_size -> ' + str(window_size) + ' ... sample_count -> ' + str(sample_count))
my_output = numpy.zeros((sample_count, window_size, window_size), dtype=numpy.float32)
_x = _imgsample.ffi.cast('size_t', my_input.shape[0])
_y = _imgsample.ffi.cast('size_t', my_input.shape[1])
_window_size = _imgsample.ffi.cast('size_t', window_size)
_my_input = _imgsample.ffi.cast('float *', my_input.ctypes.data)
_my_output = _imgsample.ffi.cast('float *', my_output.ctypes.data)
_imgsample.lib.sample2d(_x, _y, _window_size, _my_input, _my_output)
print('testing with window size -> 2')
assert numpy.array_equal(my_output[0], [[1,2],[5,6]])
assert numpy.array_equal(my_output[sample_count-1], [[11,12],[15,16]])
# window size 3
# 2D array
my_input = numpy.array(
[
[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[13, 14, 15, 16],
], dtype=numpy.float32
)
window_size = 3
sample_count = (my_input.shape[0] - window_size + 1) * (my_input.shape[1] - window_size + 1)
print('window_size -> ' + str(window_size) + ' ... sample_count -> ' + str(sample_count))
my_output = numpy.zeros((sample_count, window_size, window_size), dtype=numpy.float32)
_x = _imgsample.ffi.cast('size_t', my_input.shape[0])
_y = _imgsample.ffi.cast('size_t', my_input.shape[1])
_window_size = _imgsample.ffi.cast('size_t', window_size)
_my_input = _imgsample.ffi.cast('float *', my_input.ctypes.data)
_my_output = _imgsample.ffi.cast('float *', my_output.ctypes.data)
_imgsample.lib.sample2d(_x, _y, _window_size, _my_input, _my_output)
assert numpy.array_equal(my_output[0], [[1,2,3],[5,6,7],[9,10,11]])
assert numpy.array_equal(my_output[sample_count-1], [[6,7,8],[10,11,12],[14,15,16]])
# window size 10
# big 2D array
my_input = numpy.random.rand(4000,4000).astype(numpy.float32)
window_size = 10
sample_count = (my_input.shape[0] - window_size + 1) * (my_input.shape[1] - window_size + 1)
print('window_size -> ' + str(window_size) + ' ... sample_count -> ' + str(sample_count))
my_output = numpy.zeros((sample_count, window_size, window_size), dtype=numpy.float32)
_x = _imgsample.ffi.cast('size_t', my_input.shape[0])
_y = _imgsample.ffi.cast('size_t', my_input.shape[1])
_window_size = _imgsample.ffi.cast('size_t', window_size)
_my_input = _imgsample.ffi.cast('float *', my_input.ctypes.data)
_my_output = _imgsample.ffi.cast('float *', my_output.ctypes.data)
_imgsample.lib.sample2d(_x, _y, _window_size, _my_input, _my_output)
# window size 2
# RGB array (3D)
my_input = numpy.array(
[
[[1,2,3],[5,6,7],[4,5,6],[6,4,5]],
[[4,6,3],[5,8,7],[6,3,6],[5,8,5]],
[[3,7,3],[4,5,7],[5,2,5],[4,5,5]],
[[2,8,3],[3,2,7],[1,2,6],[3,1,5]],
], dtype=numpy.float32
)
window_size = 2
sample_count = 3 * (my_input.shape[0] - window_size + 1) * (my_input.shape[1] - window_size + 1)
print('window_size -> ' + str(window_size) + ' ... sample_count -> ' + str(sample_count))
my_output = numpy.zeros((sample_count, window_size, window_size), dtype=numpy.float32)
_x = _imgsample.ffi.cast('size_t', my_input.shape[0])
_y = _imgsample.ffi.cast('size_t', my_input.shape[1])
_window_size = _imgsample.ffi.cast('size_t', window_size)
_my_input = _imgsample.ffi.cast('float *', my_input.ctypes.data)
_my_output = _imgsample.ffi.cast('float *', my_output.ctypes.data)
_imgsample.lib.sample3d(_x, _y, _window_size, _my_input, _my_output)
assert numpy.array_equal(
my_output[0],
[
[[1,2,3],[5,6,7]],
[[4,6,3],[5,8,7]],
]
)
assert numpy.array_equal(
my_output[sample_count-1],
[
[[5,2,5],[4,5,5]],
[[1,2,6],[3,1,5]],
]
)
# window size 10
# big RGB array (3D)
my_input = numpy.random.rand(1000,1000,3).astype(numpy.float32)
window_size = 20
sample_count = 3 * (my_input.shape[0] - window_size + 1) * (my_input.shape[1] - window_size + 1)
print('window_size -> ' + str(window_size) + ' ... sample_count -> ' + str(sample_count))
my_output = numpy.zeros((sample_count, window_size, window_size), dtype=numpy.float32)
_x = _imgsample.ffi.cast('size_t', my_input.shape[0])
_y = _imgsample.ffi.cast('size_t', my_input.shape[1])
_window_size = _imgsample.ffi.cast('size_t', window_size)
_my_input = _imgsample.ffi.cast('float *', my_input.ctypes.data)
_my_output = _imgsample.ffi.cast('float *', my_output.ctypes.data)
_imgsample.lib.sample3d(_x, _y, _window_size, _my_input, _my_output)