在Python爬虫中,或者使用POST提交的过程中,往往需要提交验证码来验证,除了人工打码,付费的api接口(打码接口),深度学习识别验证码,当然还有适合新人使用的OCR验证码识别库,简单的验证码是可以完全实现自动打码的,比如下面本渣渣分享的通用验证码自动识别库:ddddocr(带带弟弟OCR)!
pip install ddddocr
想要更快,使用国内镜像安装:
pip install ddddocr -i https://pypi.tuna.tsinghua.edu.cn/simple
参数名默认值说明 use_gpu FalseBool 是否使用gpu进行推理,如果该值为False则device_id不生效 device_id 0 int cuda设备号,目前仅支持单张显卡
classification 参数名默认值 说明 img 0 bytes 图片的bytes格式
import ddddocr
ocr = ddddocr.DdddOcr()
with open('code.png', 'rb') as f:
img_bytes = f.read()
res = ocr.classification(img_bytes)
print(res)
url:https://www.feifeidm.com/Play/10919-0-0.html
验证码地址:https://www.feifeidm.com/include/vdimgck.php?r=0.7145461007261535
参考源码:
import ddddocr
import requests
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36"
}
code_url="https://www.feifeidm.com/include/vdimgck.php?r=0.7145461007261535"
r=requests.get(url=code_url,headers=headers,timeout=5)
with open('code.png','wb')as f:
f.write(r.content)
print("下载验证码成功!")
ocr = ddddocr.DdddOcr()
#with open(r'C:\Users\Administrator\Desktop\验证码识别\code.png', 'rb') as f:
#img_bytes = f.read()
img_bytes=r.content
res = ocr.classification(img_bytes)
print(res)
url:http://fankui.help.sogou.com/index.php/web/web/index?type=2
库安装:
pip install pytesseract
库用法:
import pytesseract
from PIL import Image
text = pytesseract.image_to_string(Image.open(code.png"))
print(text)
库安装:需要依次安装三个依赖库,安装命令如下,其中shapely库可能会受系统影响安装报错。
pip install paddlepaddle
pip install shapely
pip install paddleocr
库用法:
ocr = PaddleOCR(use_angle_cls=True, lang="ch")
# 输入待识别图片路径
img_path = r"code.png"
# 输出结果保存路径
result = ocr.ocr(img_path, cls=True)
for line in result:
print(line)
from PIL import Image
image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts, scores)
im_show = Image.fromarray(im_show)
im_show.show()
库安装:
pip install easyocr
库用法:
import easyocr
#设置识别中英文两种语言
reader = easyocr.Reader(['ch_sim','en'], gpu = False) # need to run only once to load model into memory
result = reader.readtext(r"code.png", detail = 0)
print(result)
库安装:
pip install muggle_ocr
库用法:
import muggle_ocr
# 初始化sdk;model_type 包含了 ModelType.OCR/ModelType.Captcha 两种模式,分别对应常规图片与验证码
sdk = muggle_ocr.SDK(model_type=muggle_ocr.ModelType.Captcha)
with open(r"code.png", "rb") as f:
img = f.read()
text = sdk.predict(image_bytes=img)
print(text)
本文分享自 Python与SEO学习 微信公众号,前往查看
如有侵权,请联系 cloudcommunity@tencent.com 删除。
本文参与 腾讯云自媒体同步曝光计划 ,欢迎热爱写作的你一起参与!