树莓派摄像头拍照上传阿里云自定义OCR识别

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我是靠谱客的博主冷艳摩托，最近开发中收集的这篇文章主要介绍树莓派摄像头拍照上传阿里云自定义OCR识别，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

树莓派加按钮，实现每次按下按钮摄像头拍照上传OCR识别。本次使用的是自定义识别。

主函数

主要是拍照和自定义OCR两个板块

# -*- coding: utf-8 -*-
"""
-------------------------------------------------------------------------------
    Project : Raspberry_OCR
    File Name : main 
    Description :
    Author : lrh
    Data : 2021-07-18
-------------------------------------------------------------------------------
"""
import autoocr, cameraa
from gpiozero import Button
from picamera import PiCamera
# from User.button import buttonInit, judge
# import time
button = Button(23) # GPIO对应的BCM名称
# camera = PiCamera()
if __name__ == '__main__':
    while True:
#         print('等待按钮按下中.......')
        if button.is_pressed:
print('按钮被按下啦')
            cameraa.catpure_img()
            pathstr = '/home/pi/Desktop/Pictures/b.jpg'
            autoocr.ocr(pathstr)
            print('一次识别完成啦')
            print('*************************')

拍照函数

# -*- coding: utf-8 -*-
"""
-------------------------------------------------------------------------------
    Project : Raspberry_OCR
    File Name : camera 
    Description :
    Author : lrh
    Data : 2021-07-18
-------------------------------------------------------------------------------
"""
from picamera import PiCamera
from time import sleep

camera = PiCamera()

def catpure_img():
    camera.start_preview()
    sleep(1)
    camera.capture('/home/pi/Desktop/Pictures/b.jpg')
    camera.stop_preview()

阿里云自定义OCR

# -*- coding: utf-8 -*-
"""
-------------------------------------------------------------------------------
    Project : Raspberry_OCR
    File Name : 自定义ocr
    Description : 阿里云自定义OCR python3代码
    Author : lrh
    Data : 2021-07-17
-------------------------------------------------------------------------------
"""
import urllib.request
import urllib.error
import urllib.parse
import json
import time
import base64
import re

finddata = re.compile(r'"items":{"(.*)":"(.*)","(.*)":"(.*)","(.*)":"(.*)"},"request_id"') # 因为是自定义，所以需要自己重新设定正则表达式，或者是改成通用的代码也行
'''
{"config_str":
    "{"template_list":["daec2576-6148-4142-8e42-5c0a78e4d0fa1626528669"]}",
    "items":{"低压":"80","脉搏":"90","高压":"130"},
   "request_id":"20210718113816_93d1a52542b7c07551363490ea875648",
    "success":true,"template_id":"daec2576-6148-4142-8e42-5c0a78e4d0fa1626528669"}
    <class 'str'>
'''
# 请求头
headers = {
    'Authorization': 'APPCODE 9c*****5e',  # APPCODE +你的appcod,一定要有空格！
    'Content-Type': 'application/json; charset=UTF-8'  # 根据接口的格式来
}
url_request = "https://ocrdiy.market.alicloudapi.com/api/predict/ocr_sdt"  # 对照官网API改

def posturl(url, data={}):
    try:
        params = json.dumps(data).encode(encoding='UTF8')
        req = urllib.request.Request(url, params, headers)
        r = urllib.request.urlopen(req)
        html = r.read()
        r.close()
        return html.decode("utf8")
    except urllib.error.HTTPError as e:
        print(e.code)
        print(e.read().decode("utf8"))
    time.sleep(1)


def ocr(image_path):
    # 本地图片
    with open(image_path, 'rb') as f:  # 以二进制读取本地图片
        data = f.read()
        # json.dumps(data, cls=MyEncoder)
        encodestr = str(base64.b64encode(data), 'utf-8')  # base64编码图片

    bodys = {
        "image": encodestr,
        "configure": {"template_list": ["daec*****8669"]  # 自定义模板ID
                      }
    }
    dict = bodys
#     print(type(dict))
    html = posturl(url_request, data=dict)
#     print(html, type(html))  # <class 'str'>
    data = re.findall(finddata, html)[0]
    print(data[0], ':', data[1])
    print(data[2], ':', data[3])
    print(data[4], ':', data[5])

# ocr('/home/pi/Desktop/test2.png')