python之组合 12 个 1x3 矩阵

我是 Python 的新手，我确实尝试使用内置函数(例如附加(到列表))来执行此操作，但我不确定如何去做。

我有 12 个 1x3 矩阵，我想将它们全部组合起来创建一个 12x3 矩阵。

我有一个计算图像中光线方向的函数(返回一个 1x3 数组)

def comp_light(img, mask): 
    """ 
    assume the viewer is at (0, 0, 1) 
    """ 
 
    light_direct=[] 
 
    #Calculate centroid of gray image 
    centroid = compute_centroid(img) 
 
    #Calculate centroid of mask 
    mask_centroid = compute_centroid(mask) 
    mask_radius = compute_radius(mask, mask_centroid) 
 
    r = mask_radius 
    dx = centroid[1]-mask_centroid[1] 
    dy = centroid[0]-mask_centroid[0] 
    dy = -dy 
 
    N = np.array([dx/r,dy/r,math.sqrt(r*r - dx*dx - dy*dy)/r]) 
 
    R = np.array([0,0,1]) 
    L = 2*np.dot(N,R)*N-R 
 
    light_direct.append(L) 
 
 
    return light_direct 

然后我有 12 个图像(灰度和蒙版)的数据，我想用这两个来计算光的方向。

for i in range(12): 
    light = comp_light(gray['chrome'][i],mask['chrome']) 
    print(light) 

我从这个循环中得到的输出是

[array([0.44179545, 0.44251159, 0.78038469])] 
[array([0.03981791, 0.1526196 , 0.98748255])] 
[array([-0.04485713,  0.17308602,  0.98388468])] 
[array([-0.09494382,  0.43736653,  0.89425734])] 
[array([-0.30896139,  0.48596268,  0.81754702])] 
[array([-0.09564658,  0.56019186,  0.82282247])] 
[array([0.24524103, 0.40670384, 0.88002774])] 
[array([0.08200615, 0.4203557 , 0.90364599])] 
[array([0.20189239, 0.34563383, 0.91639332])] 
[array([0.0855834 , 0.34030184, 0.93641345])] 
[array([0.11078827, 0.05101894, 0.99253364])] 
[array([-0.1302858 ,  0.35921852,  0.92411453])] 

如何在 Python 中组合所有这些矩阵？

请您参考如下方法:

import numpy as np 
x=[[np.array([0.44179545, 0.44251159, 0.78038469])], 
[np.array([0.03981791, 0.1526196 , 0.98748255])], 
[np.array([-0.04485713,  0.17308602,  0.98388468])], 
[np.array([-0.09494382,  0.43736653,  0.89425734])], 
[np.array([-0.30896139,  0.48596268,  0.81754702])], 
[np.array([-0.09564658,  0.56019186,  0.82282247])], 
[np.array([0.24524103, 0.40670384, 0.88002774])], 
[np.array([0.08200615, 0.4203557 , 0.90364599])], 
[np.array([0.20189239, 0.34563383, 0.91639332])], 
[np.array([0.0855834 , 0.34030184, 0.93641345])], 
[np.array([0.11078827, 0.05101894, 0.99253364])], 
[np.array([-0.1302858 ,  0.35921852,  0.92411453])]] 
x1=np.concatenate(x,axis=0) 
x1.reshape((12,3)) 
print(x1.shape) 

希望对您有所帮助。所有数组都存储在一个列表中。您可以使用 np.concatenate() 进行组合。