定义vector时直接设置好容量大小 之后使用拷贝赋值操作而非push_back或者insert等对内存realloction的操作 vector<Mat>vecDspts(retnum);// 图像数据集ORB描述子存储vectorvector<string>goodImgs(retnum);// 预先设置数量就不用了reallocationvector<int>vecRetCode(retnum);//返回值 根据返回值删除部分错误的数据int...
std::vector<double>time_1, time_2, time_3;for(intiter =0; iter < TURNS; iter++) { temp_time =omp_get_wtime();#pragmaomp parallel{#pragmaomp forfor(inti =0; i < N; i++)for(intj =0; j < N; j++) arr[i][j] = i * j; } run_time =omp_get_wtime() - temp_time; ...
vector<Point2f> imagePoints1, imagePoints2; for (int i = 0; i < 10; i++) { imagePoints1.push_back(keyPoint1[matchePoints[i].queryIdx].pt); imagePoints2.push_back(keyPoint2[matchePoints[i].trainIdx].pt); } //获取图像1到图像2的投影映射矩阵,尺寸为3*3 Mat homo = findHomography(...
void linear_sieve(int n, std::vector<int>& PrimeNumber) { std::vector<int> min_prime(n + 1, 0); for (int i = 2; i <= n; ++i) { if (min_prime[i] == 0) { min_prime[i] = i; PrimeNumber.push_back(i); } for (int j = 0; j < PrimeNumber.size() && i * Prim...
constintsz1d=1ll<<20;constfloatpi=3.141592654;std::vector<float>arange(floatstart,floatstop,floatstep){intn=int((stop-start)/step);n=n>0?n:0;std::vector<float>res;res.reserve(n);for(inti=0;i<n;i++){res.push_back(start+i*step);}returnres;}std::vector<float>linspace(floatstart...
vectorimagePoints1,imagePoints2; for(inti=0;i<10;i++) { imagePoints1.push_back(keyPoint1[matchePoints[i].queryIdx].pt); imagePoints2.push_back(keyPoint2[matchePoints[i].trainIdx].pt); } //获取图像1到图像2的投影映射矩阵,尺寸为33 ...
cloud->push_back(point); } } // 随机选择多个点作为涟漪中心 std::random_device rd; std::mt19937 gen(rd()); std::uniform_real_distribution<> dis(0, width); std::uniform_real_distribution<> radius_dis(0.0f, max_ripple_radius); ...
#include<iostream>#include<list>#include<vector>structItem{intitem1;doubleitem2;std::stringitem3;};intmain(){std::list<Item>items;Itemitem1;item1.item1=888;item1.item2=888.888;item1.item3="中文";items.push_back(item1);std::vector<Item*>vec_items;for(autoit=items.begin();it!=items...
size=3,stride=2,padding=1（在图像周围填充⼀格0）,那么在输⼊矩阵src1为：1124 5678 3210 1234 最⼤池化的结果应该为 68 68 3.pytorch实现和c++实现 pytorch c++(版本1)1//求maxpooling操作 2 vector<vector<vector<vector<int>>> maxpooling(){ ...
vector<Point2f> imagePoints1, imagePoints2; for (int i = 0; i < 10; i++) { imagePoints1.push_back(keyPoint1[matchePoints[i].queryIdx].pt); imagePoints2.push_back(keyPoint2[matchePoints[i].trainIdx].pt); } //获取图像1到图像2的投影映射矩阵,尺寸为3*3 Mat homo = findHomography(...