From e45500c5594ccd8611271fd1d48244ae6e43f37c Mon Sep 17 00:00:00 2001
From: luzhisheng <aiyingfeng110@qq.com>
Date: Tue, 20 Jun 2023 01:08:56 +0800
Subject: [PATCH] =?UTF-8?q?=E7=8C=BF=E4=BA=BA=E5=AD=A6=E7=AC=AC8=E9=A2=98-?=
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---
 .../猿人学第8题-验证码图文点选/gan_rao_xian.py | 35 ++++++++++++++++++
 .../猿人学第8题-验证码图文点选/main.py        | 37 +++++++++++++++++++
 2 files changed, 72 insertions(+)
 create mode 100644 猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/gan_rao_xian.py
 create mode 100644 猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/main.py

diff --git a/猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/gan_rao_xian.py b/猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/gan_rao_xian.py
new file mode 100644
index 0000000..60e3381
--- /dev/null
+++ b/猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/gan_rao_xian.py
@@ -0,0 +1,35 @@
+from PIL import Image
+import numpy as np
+import cv2
+
+
+# 将部分像素值变为纯白色, r1, g1, b1 对应的rgb值
+def turn_white(img, r1, g1, b1):
+    for i in range(img.size[0]):
+        for j in range(img.size[1]):
+            r, g, b = img.getpixel((i, j))
+            if r == r1 and g == g1 and b == b1:
+                img.putpixel((i, j), (255, 255, 255))
+
+
+def processing_image(img_file, standard=205):
+    """ 1.将图片进行降噪处理, 通过二值化去掉后面的背景色并加深文字对比度 """
+    img = Image.open(img_file)
+
+    # np.unique()该函数是去除数组中的重复数字，并进行排序之后输出，这里返回的是所有像素rgb值，以及对应的数量
+    # colors, counts = np.unique(np.array(im).reshape(-1, 3), axis=0, return_counts=True)
+    # ct = np.sort(counts)
+    # top2_counts = ct[-2:].tolist()
+    # print(np.array(im).reshape(-1, 3))
+
+
+    return img
+
+
+def run():
+    image_b = processing_image('./img/1.png')
+    image_b.save('./img/1-test.png')
+
+
+if __name__ == '__main__':
+    run()
\ No newline at end of file
diff --git a/猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/main.py b/猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/main.py
new file mode 100644
index 0000000..a7ed1c7
--- /dev/null
+++ b/猿人学Web端爬虫攻防刷题平台/猿人学第8题-验证码图文点选/main.py
@@ -0,0 +1,37 @@
+from PIL import Image
+import re
+import base64
+import requests
+import time
+import json
+
+
+class YuanrenXuan(object):
+
+    def __init__(self):
+        self.url = "https://match.yuanrenxue.cn/api/match/8_verify"
+        self.sum_value = 0
+
+    def get_task(self, i):
+        t = int(time.time()) * 1000
+        req = requests.get(self.url)
+        img = re.findall(r'<img src="(.*)" alt="">', req.json().get('html'))[0]
+        img = img.replace('data:image/jpeg;base64,', '')
+        print(img)
+        page_content = base64.b64decode(img)
+        with open('img/1.png', 'wb') as f:
+            f.write(page_content)
+        exit()
+        return req.text
+
+    def run(self):
+        for i in range(1, 6):
+            res_dict = json.loads(self.get_task(i))
+            for j in res_dict.get('data'):
+                self.sum_value += j.get('value')
+        print(self.sum_value)
+
+
+if __name__ == '__main__':
+    a = YuanrenXuan()
+    a.run()