Python 如何使用标签保存lbp值？

我想在python中保存5个带有标签的图像的lbp值，以便在机器学习模型中使用它们。我知道如何保存1个图像的lbp值并将其保存在csv文件中，但我不确定我的代码是否正确。我希望每个lbp值有一个标签。我不熟悉python和计算机视觉。如果有人对此有一些想法，请随时提出建议

 from skimage import feature
 import numpy as np
 import cv2
 from matplotlib import pyplot as plt
 import pandas as pd

# load the image, convert it to grayscale, and describe it
image1 = cv2.imread("almond1.jpg")
gray1 = cv2.cvtColor(image1, cv2.COLOR_BGR2GRAY)

image2 = cv2.imread("almond2.jpg")
gray2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)

image3 = cv2.imread("almond3.jpg")
gray3 = cv2.cvtColor(image3, cv2.COLOR_BGR2GRAY)

image4 = cv2.imread("almond4.jpg")
gray4 = cv2.cvtColor(image4, cv2.COLOR_BGR2GRAY)

image5 = cv2.imread("almond5.jpg")
gray5 = cv2.cvtColor(image5, cv2.COLOR_BGR2GRAY)

numPoints = 8
radius = 2

lbp1 = feature.local_binary_pattern(gray1, numPoints,radius)
feature
lbp2 = feature.local_binary_pattern(gray2, numPoints,radius)
feature
lbp3 = feature.local_binary_pattern(gray3, numPoints,radius)
feature
lbp4 = feature.local_binary_pattern(gray4, numPoints,radius)
feature
lbp5 = feature.local_binary_pattern(gray5, numPoints,radius)
feature

cv2.imshow("LBP Image", lbp2)
hist1, bin_edges = np.histogram(lbp1, bins=256)
hist2, bin_edges = np.histogram(lbp2, bins=256)
hist3, bin_edges = np.histogram(lbp3, bins=256)
hist4, bin_edges = np.histogram(lbp4, bins=256)
hist5, bin_edges = np.histogram(lbp5, bins=256)
#plt.bar(bin_edges2[:-1], hist2, width = 1)
#plt.xlim(min(bin_edges2), max(bin_edges2))
#plt.show()

np.savetxt('array.csv', [hist1,hist2,hist3,hist4,hist5], delimiter=',', fmt='%f', newline='\n')
#np.savetxt('array.csv', [hist2], delimiter=',', fmt='%f', newline='\n')
#np.savetxt('array.csv', [hist3], delimiter=',', fmt='%f', newline='\n')
#np.savetxt('array.csv', [hist4], delimiter=',', fmt='%f', newline='\n')
#np.savetxt('array.csv', [hist5], delimiter=',', fmt='%f', newline='\n')
#print(hist2)
if cv2.waitKey(0) & 0xff == 27:
    cv2.destroyAllWindows()