OpenCV使用直方图对比查找相同图片

《OpenCV系列教程》
《深度学习-如何提高数据集质量》
代码位置：FindSimilarPicsMultithreading.py
经过上面的多篇博文对图片资源的整理，终于可以运行到这一部分了，这个是对像素分布进行对比，Demo运行成果后会把查找结果以网页的形式展现出来。

$file 0fab5c6288a6c43560c8b0a71fc632cb.jpeg d2aa75db5503af7bd7eb522919a26161.jpeg 
0fab5c6288a6c43560c8b0a71fc632cb.jpeg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 1024x639, frames 3
d2aa75db5503af7bd7eb522919a26161.jpeg: JPEG image data, baseline, precision 8, 1024x639, frames 3

$ll 0fab5c6288a6c43560c8b0a71fc632cb.jpeg d2aa75db5503af7bd7eb522919a26161.jpeg 
-rw-rw-r-- 1 king king 255617 5月  23 15:44 0fab5c6288a6c43560c8b0a71fc632cb.jpeg
-rw-rw-r-- 1 king king 255599 5月  23 15:44 d2aa75db5503af7bd7eb522919a26161.jpeg

从基础信息里可以看到，大小相差很小，分别率也是相同的。但这两张图片显示的内容是一个内容。

代码如下：

import cv2
import os

DirList = [
     '/home/king/PycharmProjects/nsfw_data_scrapper/raw_data/drawings',
    # '/home/king/PycharmProjects/nsfw_data_scrapper/raw_data/hentai',
    # '/home/king/PycharmProjects/nsfw_data_scrapper/raw_data/neutral',
    # '/home/king/PycharmProjects/nsfw_data_scrapper/raw_data/porn',
    #  '/home/king/PycharmProjects/nsfw_data_scrapper/raw_data/sexy'
]

m = dict()
html_start = '\n' \
             '\n\n' \
             '\n\n'

html_end = '\n' \
           '\n'

div_string = '
\n' \
             '\n' \
             '\n' \
             '
\n\n'

html = open('/home/king/Desktop/a.html', 'w')
html.write(html_start)

same = 0
num = 0
for path in DirList:
    for filename in os.listdir(path):
        fullName = os.path.join(path, filename)
        if os.path.isfile(fullName):
            im = cv2.imread(fullName, 0)
            m[fullName] = cv2.calcHist([im], [0], None, [256], [0, 256])
            num = num + 1
            if num % 500 == 0:
                print(num)

print('to compareHist')
keyList = list(m.keys())
for i in range(len(keyList)):
    for j in range(i + 1, len(keyList)):
        cmp = cv2.compareHist(m[keyList[i]], m[keyList[j]], cv2.HISTCMP_CHISQR_ALT)
        score = cmp * 100
        #print(score)
        if score < 1:
            html.write(div_string % (keyList[i], keyList[j]))
            print(keyList[i], keyList[j])

html.write(html_end)
html.close()