# generate random Gaussian valuesfromrandomimportseedfromrandomimportgauss# seed random number generatorseed(1)# generate some Gaussian valuesfor_inrange(10):value=gauss(0,1)print(value) 运行示例生成并打印10个高斯随机值。 1.28818475315546291.4494456086997710.06633580893826191-0.7645436509716318-1.09217321510414140...
Weight = (unsigned int)(expf(-(j*j)/sigma22) / sigma_sqrt2PI * 65536.0f); pGaussianCD[n] = Weight + pGaussianCD[n-1]; n++; } } /* Return a Gaussian random number between [0, 2*r], mean is r. */ unsigned int GaussianRandom(int radius) { static int r = 0, mn, m;...
random_number = random.random() print("固定种子下的随机浮点数:", random_number) 8. random.getrandbits(k) random.getrandbits(k)函数生成k比特长的随机整数。适用于需要生成指定位数的随机整数的情况。 import random random_bits = random.getrandbits(4) # 生成4比特长的随机整数 print("随机整数(4...
importnumpyasnpdefgenerate_multivariate_gaussian_random_number(mean,cov_matrix):dim=len(mean)random_number=generate_random_number(dim)# 生成标准正态分布随机数cholesky_matrix=np.linalg.cholesky(cov_matrix)# Cholesky分解协方差矩阵random_number=np.dot(cholesky_matrix,random_number)# 矩阵乘法random_number...
generate random permutation distributions on the real line: --- uniform triangular normal (Gaussian) lognormal negative exponential gamma beta pareto Weibull distributions on the circle (angles 0 to 2pi) --- circular uniform von Mises ``` 1.3...
(alpha) * beta ** alphaNo. 6 :Help on method gauss in module random:gauss(mu, sigma) method of random.Random instanceGaussian distribution.mu is the mean, and sigma is the standard deviation. This isslightly faster than the normalvariate() function.Not thread-safe without a lock around ...
generate random permutation distributions on the real line: --- uniform triangular normal (Gaussian) lognormal negative exponential gamma beta pareto Weibull distributions on the circle (angles 0 to 2pi) --- circular uniform von Mises General notes...
from sklearn.mixture import GaussianMixture# Suppose Data X is a 2-D Numpy array (One apple has two features, size and flavor) GMM = GaussianMixture(n_components=3, random_state=0).fit(X) GaussianMixtureis the function,n_componentsis the number of underlying Gaussian distributions,random_sta...
def match_corner(coordinates, window_ext=3): row, col = np.round(coordinates).astype(np.intp) window_original = image_original[row-window_ext:row+window_ext+1, col-window_ext:col+window_ext+1, :] weights = gaussian_weights(window_ext, 3) weights = np.dstack((weights, weights, weight...
除了opencv专门用来进行图像处理,可以进行像素级、特征级、语义级、应用级的图像处理外,python中还有其他库用来进行简单的图像处理,比如图像的读入和保存、滤波、直方图均衡等简单的操作,下面对这些库进行详细的介绍。 目录 一、PIL库 一、安装命令 二、Image模块 ...