云片滑块/yunpian_slide

云片滑块/yunpian_slide

yunpian_slide/gap.py

@@ -0,0 +1,89 @@
+# -*- coding: utf-8 -*-
+
+import cv2
+
+
+class SlideCrack(object):
+    def __init__(self, gap, bg, out):
+        """
+        init code
+        :param gap: 缺口图片
+        :param bg: 背景图片
+        :param out: 输出图片
+        """
+        self.gap = gap
+        self.bg = bg
+        self.out = out
+
+    @staticmethod
+    def clear_white(img):
+        # 清除图片的空白区域，这里主要清除滑块的空白
+        img = cv2.imread(img)
+        rows, cols, channel = img.shape
+        min_x = 255
+        min_y = 255
+        max_x = 0
+        max_y = 0
+        for x in range(1, rows):
+            for y in range(1, cols):
+                t = set(img[x, y])
+                if len(t) >= 2:
+                    if x <= min_x:
+                        min_x = x
+                    elif x >= max_x:
+                        max_x = x
+
+                    if y <= min_y:
+                        min_y = y
+                    elif y >= max_y:
+                        max_y = y
+        img1 = img[min_x:max_x, min_y: max_y]
+        return img1
+
+    def template_match(self, tpl, target):
+        th, tw = tpl.shape[:2]
+        result = cv2.matchTemplate(target, tpl, cv2.TM_CCOEFF_NORMED)
+        # 寻找矩阵(一维数组当作向量,用Mat定义) 中最小值和最大值的位置
+        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
+        tl = max_loc
+        br = (tl[0] + tw, tl[1] + th)
+        # 绘制矩形边框，将匹配区域标注出来
+        # target：目标图像
+        # tl：矩形定点
+        # br：矩形的宽高
+        # (0,0,255)：矩形边框颜色
+        # 1：矩形边框大小
+        cv2.rectangle(target, tl, br, (0, 0, 255), 2)
+        cv2.imwrite(self.out, target)
+        return tl[0]
+
+    @staticmethod
+    def image_edge_detection(img):
+        edges = cv2.Canny(img, 100, 200)
+        return edges
+
+    def discern(self):
+        img1 = self.clear_white(self.gap)
+        img1 = cv2.cvtColor(img1, cv2.COLOR_RGB2GRAY)
+        slide = self.image_edge_detection(img1)
+
+        back = cv2.imread(self.bg, 0)
+        back = self.image_edge_detection(back)
+
+        slide_pic = cv2.cvtColor(slide, cv2.COLOR_GRAY2RGB)
+        back_pic = cv2.cvtColor(back, cv2.COLOR_GRAY2RGB)
+        x = self.template_match(slide_pic, back_pic)
+        # 输出横坐标, 即 滑块在图片上的位置
+        return x
+
+
+def get_gap():
+    # 滑块图片
+    image1 = "img/slide.png"
+    # 背景图片
+    image2 = "img/bg.png"
+
+    # 处理结果图片,用红线标注
+    image3 = "img/show_image.png"
+    sc = SlideCrack(image1, image2, image3)
+    return sc.discern()

yunpian_slide/mian.py

@@ -0,0 +1,61 @@
+# -*- coding: utf-8 -*-
+import string, requests, execjs, json, random, uuid, threading
+from urllib import request
+from gap import *
+
+
+def get_random(number):
+    choices = string.ascii_lowercase + string.digits
+    random_chars = random.choices(choices, k=number)
+    return ''.join(random_chars)
+
+
+def main(captchaId):
+    cb = get_random(10)
+    key = get_random(16)
+    iv = get_random(16)
+    fp = "034ea72d1b3e115d5c2556b29002" + get_random(4)
+    yp_riddler_id = str(uuid.uuid4())
+    with open('yunpian.js', 'r', encoding='utf-8') as f:
+        js = execjs.compile(f.read())
+    data = '{"browserInfo":[{"key":"userAgent","value":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36"},{"key":"language","value":"zh-CN"},{"key":"hardware_concurrency","value":12},{"key":"resolution","value":[1280,720]},{"key":"navigator_platform","value":"Win32"}],"nativeInfo":null,"additions":{},"options":{"sdk":"https://www.yunpian.com/static/official/js/libs/riddler-sdk-0.2.2.js","sdkBuildVersion":"1.5.0(2021111001)","hosts":"https://captcha.yunpian.com"},"fp":"' + fp + '","address":"https://www.yunpian.com","yp_riddler_id":"' + yp_riddler_id + '"}'
+    params = {
+        "cb": cb,
+        "i": js.call('AES_Encrypt', data, key, iv),
+        "k": js.call('RSA_Encrypt', key + iv),
+        "captchaId": captchaId
+    }
+    url = 'https://captcha.yunpian.com/v1/jsonp/captcha/get'
+    res = requests.get(url, params=params).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    token = res['data']['token']
+    request.urlretrieve(res['data']['bg'], './img/bg.png')
+    request.urlretrieve(res['data']['front'], './img/slide.png')
+    distance = get_gap() - 5
+    with open('yunpian.js', 'r', encoding='utf-8') as f:
+        js = execjs.compile(f.read())
+    trace = '{"points":[' + js.call('getPoints', distance * 0.75) + '],"distanceX":' + str(
+        distance / 480) + ',"fp":"' + fp + '","address":"https://www.yunpian.com", "yp_riddler_id": "' + yp_riddler_id + '"}'
+    params = {
+        "cb": cb,
+        "i": js.call('AES_Encrypt', trace, key, iv),
+        "k": js.call('RSA_Encrypt', key + iv),
+        'token': token,
+        "captchaId": captchaId
+    }
+    url = "https://captcha.yunpian.com/v1/jsonp/captcha/verify"
+    res = requests.get(url, params=params).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    if res['code'] == 0:
+        return res
+    else:
+        return False
+
+
+if __name__ == '__main__':
+    while True:
+        captchaId = '974cd565f11545b6a5006d10dc324281'
+        result = main(captchaId)
+        if result:
+            print(result)
+            break