yml2213
12c31c2e09
- 删除 requirements.txt，pyproject.toml 为唯一依赖源（含 requests[socks] extra） - core/geetest 下 5 处 print() 替换为 loguru logger.debug() - api/modules.ts 新增 13 个响应接口，消除所有 api.xxx<any, any> - 新建 utils/error.ts 提供 getErrorMessage(e: unknown) 安全取消息 - 11 个页面组件 catch (e: any) 改为 catch (e: unknown) - useState<any[]>、columns: any[]、render 参数全部类型化 - TypeScript 类型检查零错误通过
91 lines
3.5 KiB
Python
91 lines
3.5 KiB
Python
import requests
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import cv2
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import numpy as np
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from PIL import Image
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from loguru import logger
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REQUEST_TIMEOUT = (3.05, 12)
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# 将 Image 转换为 Mat，通过 flag 可以控制颜色
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def pilImgToCv2(img: Image.Image, flag=cv2.COLOR_RGB2BGR):
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return cv2.cvtColor(np.asarray(img), flag)
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# 识别图片缺口返回滑块距离
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def shibie(img: Image.Image, slice: Image.Image):
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# 通过 pilImgToCv2 将图片置灰
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# 背景图和滑块图都需要做相同处理
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grayImg = pilImgToCv2(img, cv2.COLOR_BGR2GRAY)
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# showImg(grayImg) # 可以通过它来看处理后的图片效果
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graySlice = pilImgToCv2(slice, cv2.COLOR_BGR2GRAY)
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# 做边缘检测进一步降低干扰，阈值可以自行调整
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grayImg = cv2.Canny(grayImg, 255, 255)
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# showImg(grayImg) # 可以通过它来看处理后的图片效果
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graySlice = cv2.Canny(graySlice, 255, 255)
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# 通过模板匹配两张图片，找出缺口的位置
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result = cv2.matchTemplate(grayImg, graySlice, cv2.TM_CCOEFF_NORMED)
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maxLoc = cv2.minMaxLoc(result)[3]
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# 匹配出来的滑动距离
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distance = maxLoc[0]
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# 下面的逻辑是在图片画出一个矩形框来标记匹配到的位置，可以直观的看到匹配结果，去掉也可以的
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sliceHeight, sliceWidth = graySlice.shape[:2]
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# 左上角
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x, y = maxLoc
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# 右下角
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x2, y2 = x + sliceWidth, y + sliceHeight
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resultBg = pilImgToCv2(img, cv2.COLOR_RGB2BGR)
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cv2.rectangle(resultBg, (x, y), (x2, y2), (0, 0, 255), 2)
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# showImg(resultBg) # 可以通过它来看处理后的图片效果
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return distance
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# 还原图片
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def restore_geetest_image(input_path:str, output_path:str) -> None:
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"""
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还原极验打乱的验证码图像
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"""
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Ut = [
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39, 38, 48, 49, 41, 40, 46, 47, 35, 34, 50, 51, 33, 32, 28, 29,
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27, 26, 36, 37, 31, 30, 44, 45, 43, 42, 12, 13, 23, 22, 14, 15,
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21, 20, 8, 9, 25, 24, 6, 7, 3, 2, 0, 1, 11, 10, 4, 5, 19, 18, 16, 17
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]
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# 打开混淆图像
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img = Image.open(input_path)
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new_img = Image.new("RGB", (260,160))
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r = 160
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for _ in range(len(Ut)):
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a = r / 2
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c = Ut[_] % 26 * 12 + 1
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u = 80 if Ut[_] > 25 else 0
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l = img.crop(box=(c, u, c + 10, u + 80))
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new_img.paste(l, box=(_ % 26 * 10, 80 if _ > 25 else 0))
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new_img.save(output_path)
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logger.debug("图像已还原并保存到: {}", output_path)
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# 下载图片
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def download_picture(bg:str, fullbg:str, slice:str) -> int:
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for i in range(3):
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if i == 0:
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url = "https://static.geetest.com/"+bg
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response = requests.get(url, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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with open("bg.jpg", "wb") as f:
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f.write(response.content)
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restore_geetest_image("bg.jpg", "bg.jpg")
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else:
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if i == 1:
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url = "https://static.geetest.com/" + fullbg
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response = requests.get(url, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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with open("fullbg.jpg", "wb") as f:
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f.write(response.content)
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restore_geetest_image("fullbg.jpg", "fullbg.jpg")
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else:
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url = "https://static.geetest.com/" + slice
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response = requests.get(url, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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with open("slice.jpg", "wb") as f:
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f.write(response.content)
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return shibie(Image.open('fullbg.jpg'), Image.open('slice.jpg'))
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