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.uniform(a, b)函数生成一个范围在[a, b]之间的随机浮点数,类似于random.random()但可以指定范围。 importrandom random_float = random.uniform(1.0,5.0)print("指定范围的随机浮点数:", random_float) 这只是random模块中一小部分函数的介绍,该模块还包括其他函数,如random.gauss()用于生成高斯分布的随...
# 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...
importnumpyasnpdefgenerate_random_number(dim):returnnp.random.standard_normal(dim) 1. 2. 3. 4. 步骤三:计算多维高斯分布随机数 最后,我们将根据随机数和协方差矩阵计算多维高斯分布随机数。 importnumpyasnpdefgenerate_multivariate_gaussian_random_number(mean,cov_matrix):dim=len(mean)random_number=genera...
(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 ...
pick random element pick random sample pick weighted random sample generate random permutation distributions on the real line: --- uniform triangular normal (Gaussian) lognormal negative exponential gamma beta pareto Weibull distributions on the circle...
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...
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 ...
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...
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...