Hi there,
Pythran just released its 0.8.6 version. A quick reminder: Pythran is a
compiler for scientific Python, it can be used to turn Python kernels
as:
#pythran export _brief_loop(float64[:,:], uint8[:,:], intp[:,:], int[:,:],
int[:,:])
def _brief_loop(image, descriptors, keypoints, pos0, pos1):
for k in range(len(keypoints)):
kr, kc = keypoints[k]
for p in range(len(pos0)):
pr0, pc0 = pos0[p]
pr1, pc1 = pos1[p]
descriptors[k,p] = image[kr + pr0, kc + pc0] < image[kr + pr1,
kc + pc1]
In a native library that runs much faster.
It's available on pypi: https://pypi.org/project/pythran/
on conda-forge (linux and osx): https://anaconda.org/conda-forge/pythran
and on github: https://github.com/serge-sans-paille/pythran
As a fun fact, Pythran is now used as a mean to turn Python code into
pure native library used in C++ code base, without Python involved. Some
people even use SWIG to turn this code into native libraries called
from... Java through JNI :-)
Enjoy,
Serge
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