ddddocr: 得到滑块的目标位置

一，代码：

import base64
from ddddocr import DdddOcrimport numpy as np
from PIL import Image
import io
from PIL import Image, ImageFilter
from io import BytesIOocr = DdddOcr(det=False, ocr=False)with open("165_27_background.png", "rb") as f:background = f.read()
with open("165_27_thumb.png", "rb") as f:slide_block = f.read()
# 识别缺口位置
# 
pos = ocr.slide_match(slide_block,background, simple_target=True)
print(f"缺口位置: {pos}")

二，测试 效果 ：

$ python3 ocr1.py 
欢迎使用ddddocr，本项目专注带动行业内卷，个人博客:wenanzhe.com
训练数据支持来源于:http://146.56.204.113:19199/preview
爬虫框架feapder可快速一键接入，快速开启爬虫之旅：https://github.com/Boris-code/feapder
谷歌reCaptcha验证码 / hCaptcha验证码 / funCaptcha验证码商业级识别接口：https://yescaptcha.com/i/NSwk7i
缺口位置: {'target_x': 1, 'target_y': 28, 'target': [166, 28, 218, 79]}