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#include <iostream>
#include <vector>
#include <utility>

using namespace std;

// Reference
// https://learn.microsoft.com/ko-kr/cpp/cpp/move-constructors-and-move-assignment-operators-cpp?view=msvc-170
class Block {
public:

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자작 NAS 프로젝트

요구사항

작지만 성능 좋은 NAS를 만들자!

이런 목표를 가지고 아래의 기본 요구사항을 세웠다.

케이스 (U-NAS NSC-810A)

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var cond_A = 1, cond_B = 2
var ret_A = 10, ret_B = 20, ret_C = 30

for (cond = 1; cond <= 3; cond ++) { 
    var ret = cond == cond_A ? ret_A : cond == cond_B ? ret_B : ret_C
    print(cond, ret)
}

/* Return
1 10

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function [Proj D radial tan r2] = ProjectPointRadial(P, R, T, f, c, k, p)
    N = size(P,1);
    X = R*(P'-T'*ones(1,N));
    XX = X(1:2,:)./([1; 1]*X(3,:));
    r2 = XX(1,:).^2 + XX(2,:).^2;
    radial = 1 + dot(repmat(k',[1 N]), [r2; r2.^2; r2.^3], 1);
    tan = p(1)*XX(2,:) + p(2)*XX(1,:);
    XXX = XX.*repmat(radial+tan,[2 1]) + [p(2) p(1)]'*r2;
    Proj = ones(N,1)*f .* XXX' + ones(N,1)*c;
    D = X(3,:);

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class tf_Spectrum:
    Color = tf.constant([
        [0, 0, 128],
        [0, 0, 255],
        [0, 255, 0],
        [255, 255, 0],
        [255, 0, 0]
    ], dtype = tf.float32)

def tf_gray2color(gray, spectrum = tf_Spectrum.Color):

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import scipy.io
import numpy as np

FLIC = scipy.io.loadmat('FLIC/examples.mat')
filepath_idx = 1
print(np.squeeze(np.squeeze(FLIC['examples']['filepath'])[filepath_idx]))
print(np.squeeze(np.squeeze(FLIC['examples']['imgdims'])[filepath_idx]))
print(np.squeeze(np.squeeze(FLIC['examples']['istrain'])[filepath_idx]))
coord = {'x': 0, 'y': 1}
print(np.squeeze(np.squeeze(np.squeeze(FLIC['examples'])[filepath_idx])['coords'])[coord['x']][7])