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Pythonのnumpy arrayをC++で読み込むサンプル (参考:https://gist.github.com/rezoo/5656056, http://mglab.blogspot.jp/2014/03/numpyhpp-npy.html)
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#include <iostream> | |
#include "numpy.hpp" | |
int main(void) { | |
std::vector<int> s; // Vetor for matrix size | |
std::vector<int> int_data; // Vector for matrix element | |
aoba::LoadArrayFromNumpy("int_array.npy", s, int_data); | |
std::cout << s[0] << " " << s[1] << std::endl; // print matrix size (row * column) | |
std::cout << int_data.size() << std::endl; // print element size | |
for (int x : int_data) { | |
std::cout << x << " "; | |
} | |
std::cout << std::endl; | |
std::vector<float> float_data; | |
aoba::LoadArrayFromNumpy("float_array.npy", s, float_data); | |
std::cout << s[0] << " " << s[1] << std::endl; | |
std::cout << float_data.size() << std::endl; | |
for (float x : float_data) { | |
std::cout << x << " "; | |
} | |
} |
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#!/usr/bin/env python | |
import numpy as np | |
def main(): | |
X = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.intc) # int array | |
np.save('./int_array', X) | |
X = np.array([[1.5, 2.2, 3.3], [4.5, 5.2, 6.8]], dtype=np.float32) # float arary | |
np.save('./float_array', X) | |
if __name__ == "__main__": | |
main() |
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