数美滑块/shumei_slide

shumei_slide/gap.py

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+# -*- 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()

shumei_slide/main.py

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+import requests,re,json,base64,execjs
+from urllib import request
+from gap import *
+from track import *
+with open('shumei.js', 'r', encoding='utf-8') as f:
+    js = execjs.compile(f.read())
+def get_image(organization):
+    url = 'https://captcha1.fengkongcloud.cn/ca/v1/register'
+    params = {
+        "organization": organization,
+        "data": "{}",
+        "appId": "default",
+        "model": "slide",
+        "rversion": '1.0.4',
+        "lang": "zh-cn",
+        "channel": "DEFAULT",
+        "callback": get_callback(),
+        "sdkver": '1.1.3',
+        "captchaUuid": get_captchaUuid()
+    }
+    res = requests.get(url, params=params).text
+    match = re.search(r'({.+})', res).group(1)
+    data = json.loads(match)
+    request.urlretrieve('https://castatic.fengkongcloud.cn'+data['detail']['bg'], './img/bg.png')
+    request.urlretrieve('https://castatic.fengkongcloud.cn'+data['detail']['fg'], './img/slide.png')
+    distance = round(get_gap()/2)
+    rid = data['detail']['rid']
+    return distance,rid
+def get_main(organization):
+    distance,rid = get_image(organization)
+    track = get_track(distance)
+    je = js.call('DES_Encrypt', str(distance / 300), "5ea96022")
+    ww = js.call('DES_Encrypt', str(track[-1][-1] + random.randint(10, 100)), "17a94a08")
+    mu = js.call('DES_Encrypt', json.dumps(track, separators=(',', ':')), "e7e1eb0d")
+    params = {
+        "je": je,
+        "ww": ww,
+        "mu": mu,
+        "rid": rid,
+        "captchaUuid": get_captchaUuid(),
+        "organization": organization,
+        "callback": get_callback(),
+        "rversion": '1.0.4',
+        "sdkver": '1.1.3',
+        "nu": "C0kH/bWLjw8=",  # mouseEndX=300, "390aac0d"
+        "dy": "Rfpr5oqb5y4=",  # trueHeight=150, "a9001672"
+        "en": "y+ugz9NIWys=",
+        "tb": "3jSn4gNaAVM=",  # 1,'6f5e9847'
+        "kq": "mtlOTdT5LOE=",
+        "mp": "WYfkIZp7GoA=",
+        "oc": "h9oFKi8cHpg=",
+        "xy": "YabT6nmJOC0=",  # "zh-cn"
+        "jo": "l3aEINYnwpY=",
+        "protocol": "180",
+        "ostype": "web",
+        "act.os": "web_pc",
+    }
+    url = 'https://captcha1.fengkongcloud.cn/ca/v2/fverify'
+    res = requests.get(url, params=params).text
+    match = re.search(r'({.+})', res).group(1)
+    print(match)
+if __name__ == '__main__':
+    organization = "RlokQwRlVjUrTUlkIqOg"
+    get_main(organization)

shumei_slide/track.py

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+import random,time
+from datetime import datetime
+
+
+def get_track(distance):
+    """生成轨迹"""
+    base_track = [
+        [0, 0, 0], [0, -2, 102], [9, -3, 205],
+        [44, -5, 303], [82, -4, 409], [125, -3, 503],
+        [138, -2, 601], [166, -1, 702], [194, -1, 805],
+        [211, -1, 903], [222, -1, 1005], [224, -1, 1101],
+        [228, -1, 1201], [228, -1, 1316], [232, -2, 1401],
+        [232, -2, 1514], [232, -2, 1601], [233, -2, 1705],
+        [233, -2, 1801], [233, -2, 1902], [236, -3, 2001],
+        [236, -3, 2101], [236, -3, 2201], [236, -3, 2309],
+        [236, -3, 2402], [236, -3, 2512], [236, -3, 2601],
+        [236, -3, 2715], [236, -3, 2809], [236, -3, 2902]
+    ]
+    random_y = random.randint(0, 5)
+    radio = distance / base_track[-1][0]
+    new_track = []
+    for x, y, t in base_track:
+        y = y + random_y if y else 0
+        point = [round(x * radio), y, round(t * radio)]
+        new_track.append(point)
+    return new_track
+
+def get_callback():
+    return 'sm_' + str(int(time.time() * 1000))
+def get_captchaUuid():
+    """生成请求参数captchaUuid smcp.min.js"""
+    text = "ABCDEFGHJKMNPQRSTWXYZabcdefhijkmnprstwxyz2345678"
+    random18_str = ''.join(random.choices(text, k=18))
+    time_str = datetime.now().strftime('%Y%m%d%H%M%S')
+    return time_str + random18_str