解决 warning 显示 The linear_assignment function is deprecated in 0.21 and will be removed from 0.23. Us...
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
作者：clemente620
