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malloc temporary array

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kris 2021-01-11 18:55:37 +00:00
parent 575fa168ed
commit bbc9eec29f
1 changed files with 8 additions and 4 deletions
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12
dither_apply.pyx
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@ -4,6 +4,7 @@ cimport cython
import numpy as np import numpy as np
# from cython.parallel import prange # from cython.parallel import prange
from cython.view cimport array as cvarray from cython.view cimport array as cvarray
from libc.stdlib cimport malloc, free
cdef float clip(float a, float min_value, float max_value) nogil: cdef float clip(float a, float min_value, float max_value) nogil:
@ -15,16 +16,19 @@ cdef float clip(float a, float min_value, float max_value) nogil:
def apply_one_line(float[:, :, ::1] pattern, int el, int er, int xl, int xr, int y, float[:, :, ::1] image, def apply_one_line(float[:, :, ::1] pattern, int el, int er, int xl, int xr, int y, float[:, :, ::1] image,
float[::1] quant_error): float[::1] quant_error):
cdef int i, j cdef int i, j
cdef float[:, ::1] error = cvarray( cdef float *error = <float *> malloc(pattern.shape[1] * quant_error.shape[0] * sizeof(float))
shape=(pattern.shape[1], quant_error.shape[0]), itemsize=sizeof(float), format="f")
#cdef float[:, ::1] error = cvarray(
# shape=(pattern.shape[1], quant_error.shape[0]), itemsize=sizeof(float), format="f")
for i in range(pattern.shape[1]): for i in range(pattern.shape[1]):
for j in range(quant_error.shape[0]): for j in range(quant_error.shape[0]):
error[i, j] = pattern[0, i, 0] * quant_error[j] error[i * quant_error.shape[0] + j] = pattern[0, i, 0] * quant_error[j]
for i in range(xr - xl): for i in range(xr - xl):
for j in range(3): for j in range(3):
image[y, xl+i, j] = clip(image[y, xl + i, j] + error[el + i, j], 0, 255) image[y, xl+i, j] = clip(image[y, xl + i, j] + error[(el + i) * quant_error.shape[0] + j], 0, 255)
free(error)
# XXX cythonize # XXX cythonize