Mat centers(3, 1, CV_32FC2); vector ImgPoints = [];怎么把centers的值给ImgPoints

您可以使用以下代码将Mat类型的centers转换为vector类型的ImgPoints：

for(int i = 0; i < centers.rows; i++) {
    cv::Point2f point(centers.at<cv::Vec2f>(i)[0], centers.at<cv::Vec2f>(i)[1]);
    ImgPoints.push_back(point);
}

这里使用了cv::Point2f来表示每个点，然后将其添加到vector中。

相关问题

from sklearn.datasets import make_blobsX1, y = make_blobs(n_samples=1000, n_features=2, centers=3, random_state=42)print(X1)

As an AI language model, I cannot display the output of the code in the same way as a Python interpreter or a Jupyter Notebook. However, I can explain what the code does.

This code imports the `make_blobs` function from the `sklearn.datasets` module. Then, it generates a dataset of 1000 samples and 2 features using the `make_blobs` function. The dataset has 3 clusters (centers) and the random seed is set to 42.

The generated dataset `X1` is not printed or displayed in any way, so we cannot see what it looks like.

x,y = make_blobs(n_samples = 500,n_features = 2,centers = 4,random_state = 1) fig, ax1 = plt.subplots(1)

这段代码使用了Python中的sklearn库中的make_blobs函数生成了一个包含500个样本、2个特征、4个中心的数据集，并用matplotlib库中的subplots函数生成了一个包含1个子图的图像对象fig和一个子图ax1。但是这段代码并没有绘制任何数据和图像，只是准备好了绘图所需的数据和图像对象。如果需要绘制数据和图像，可以在这段代码后面添加对应的绘图代码。