用以下代码做实验

import time
import cv2 as cv
import glob
import argparse
import sys
import numpy as np
import os.path
from collections import deque
from sklearn.utils.linear_assignment_ import linear_assignment

.....
.....
for i in range(100):
    indices = linear_assignment(cost_matrix)

输出显示

DeprecationWarning: The linear_assignment function is deprecated in 0.21 and will be removed from 0.23. Use scipy.optimize.linear_sum_assignment instead.

经过查阅相关资料，代码部分替换为下面形式即可解决

不同之处在于返回格式: linear_assignment() 返回一个 numpy 数组和linear_sum_assignment() 返回 一个 numpy 数组的元组。通过转换 linear_sum_assignment()输出为array并转置它，可以获得相同的输出。

import time
import cv2 as cv
import glob
import argparse
import sys
import numpy as np
import os.path
from collections import deque
from scipy.optimize import linear_sum_assignment # 代替上面 linear_assignment

indices = linear_sum_assignment(cost_matrix)
indices = np.asarray(indices)
indices = np.transpose(indices)

参考资料

https://stackoverflow.com/questions/57369848/how-do-i-resolve-use-scipy-optimize-linear-sum-assignment-instead

原文地址：https://www.cnblogs.com/clemente/p/12321745.html