def__call__(self,X,Y):_X=cv2.resize(X,self.output_size)w,h=self.output_size c=Y.shape[-1]_Y=np.zeros((h,w,c))foriinrange(Y.shape[-1]):_Y[...,i]=cv2.resize(Y[...,i],self.output_size)return_X,_Y Clip 剪辑函数是一项非常有用的函数,尤其是当您需要从一种颜色空间切换...
window_size=9) coordinates_warped_subpix = corner_subpix(image_warped_gray, coordinates_warped, window_size=9) def gaussian_weights(window_ext, sigma=1): y, x = np.mgrid[-window_ext:window_ext+1, -window_ext:window_ext+1] g_w = np.zeros(y.shape, dtype = np.double) g_w[:] ...
import numpy as np # Create a new array from which we will select elements a = np.array([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12]]) print(a) # Create an array of indices b = np.array([0, 2, 0, 1]) # Select one element from each row of a using the indices ...
它要求用户提供一系列的静态图像,称为艺术家对象。这些图像可以是通过Matplotlib创建的任何类型的可视化对象,例如Figure、Axes、Line2D等。用户需要将这些静态图像存储在一个列表中,然后通过ArtistAnimation来显示这些图像的序列。ArtistAnimation会按照用户指定的时间间隔逐帧地显示这些图像,从而实现动画效果。这种方法适用于已经...
Python Program to Add Column to NumPy 2D Array # Import numpyimportnumpyasnp# Creating an arrayarr=np.zeros((6,2))# Display original arrayprint("Original array:\n",arr,"\n")# Creating single column arraycol=np.ones((6,1))# Adding col in arrres=np.hstack((arr,col))# Display res...
() for x in segments) new = np.zeros((n, 4)) # warp boxes xy = np.ones((n * 4, 3)) xy[:, :2] = targets[:, [1, 2, 3, 4, 1, 4, 3, 2]].reshape(n * 4, 2) # x1y1, x2y2, x1y2, x2y1 xy = xy @ M.T # transform xy = (xy[:, :2] / xy[:, 2:...
numpy.atleast_2d(*arys)[source] 将输入视为至少具有二维的数组。 例子 1)输入不同的数组的示例 importnumpyasnp# 输入是一个标量(零维数组)a =5result = np.atleast_2d(a) print(result)# 输出: [[5]]# 示例 2: 输入是一维数组b = np.array([1,2,3]) ...
例如,我们可以通过简单地创建 2D NumPy 数组从头开始创建3x3正方形黑色图像: img = numpy.zeros((3, 3), dtype=numpy.uint8) 如果我们将此图像打印到控制台,则会得到以下结果: array([[0, 0, 0], [0, 0, 0], [0, 0, 0]], dtype=uint8) 此处,每个像素由单个 8 位整数表示,这意味着每个...
zeros((3, 3)) np.fill_diagonal(ev, eigen_values) ev # diagonal matrix array([[1.92923132, 0\. , 0\. ], [0\. , 0.55811089, 0\. ], [0\. , 0\. , 0.00581353]]) 我们发现结果确实成立: decomposition = eigen_vectors.dot(ev).dot(inv(eigen_vectors)) np.allclose(cov, decomposition...
zeros(len(x)) d[1:-1] = 6*(self.dy[1:]/self.h[1:] - self.dy[:-1]/self.h[:-1]) return H,d ncs = NaK_cubic_spline(x,y) ncs.fit() xn = np.linspace(1,10.5,100) yn = ccs.eval(xn) plt.scatter(x,y) plt.plot(xn,yn) [<matplotlib.lines.Line2D at 0x20a8ebff400...