试图与欧几里得距离找到最接近的距离

Question

import imagehash
from PIL import Image
import glob
import numpy as np
import csv
from scipy.spatial import distance

image_list = []
list_rows = []

for filename in glob.glob('/home/folder1/*.jpg'):
    im = Image.open(filename)
    image_list.append(im)
    img_hash = imagehash.average_hash(im)
    print(img_hash)
    list_rows.append([img_hash])

np.savetxt("numpy_test.csv", list_rows, delimiter=",", fmt='% s')

with open('numpy_test.csv', newline='') as f:
    reader = csv.reader(f)
    data = list(reader)

print(data)

for hashes in data:
    print(hashes)

mouni = []
mouni_rows = []
for file in glob.glob('/home/folder2/test.jpg'):
    img = Image.open(file)
    mouni.append(img)
    img_hash = imagehash.average_hash(img)
    print(img_hash)
    mouni_rows.append([img_hash])

np.savetxt("numpy_test_mouni.csv", mouni_rows, delimiter=",", fmt='% s')

with open('numpy_test_mouni.csv', newline='') as f:
    reader = csv.reader(f)
    mouni = list(reader)

print(mouni)

for k in mouni:
    print(k)

for i in hashes:
    for y in k:
        dist = np.linalg.norm(i - y)
        print(dist)

-folder1包含一些图像，从其中imagehashes fulacetd并保存到.csv file

-folder2仅包含1个图像，并将imageHash提取并保存到另一个.csv文件中

- 目标是将1 imagehash从1 image中进行比较。使用欧几里得距离的散列，以找到最接近的哈希距离。但是错误是：typeError：未支撑的操作数类型 - ：'str'和'str'

真正赞赏的任何建议。先感谢您