上篇文章我们讲解了验证码识别的最佳解决方案,今天我们把验证码识别的能力,服务化,对外输入一个OCR接口。
部署属于自己的 OCR API
【python>=3.6】
pip install ddddocr
pip install flask
from flask import Flask, render_template, request
import ddddocr
app = Flask(__name__)
@app.route('/ocr', methods=['POST'])
def ocr_api():
ocr = ddddocr.DdddOcr()
img = request.files.get('image').read()
r = ocr.classification(img)
return ''.join(r)
if __name__ == '__main__':
app.run(host="0.0.0.0", port=8089)
python ocr_server.py
我们利用requests进行api验证,如下
import requests
api_url = "http://127.0.0.1:8089/ocr"
file = open(r'1.png', 'rb').read()
res = requests.post(api_url, files={'image': file})
print(res.text)
import requests
# 获取验证码图片
headers = {
"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4195.1 Safari/537.36"
}
resp = requests.get('https://bjt.beijing.gov.cn/renzheng/common/generateCaptcha?r=0.15605044411493973', headers=headers, verify=False)
captcha_img = resp.content
# 识别
resp = requests.post(api_url, files={'image': captcha_img})
print('验证码结果', resp.text)
# 保存验证码图片以供验证
with open('captcha.jpg', 'wb') as f:
f.write(captcha_img)