jupyter/百度OCR.ipynb

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from aip import AipOcr

""" 你的 APPID AK SK """
APP_ID = '17553946'
API_KEY = 'IMC1ss3Tyo3vEAdVH6jgcdv2'
SECRET_KEY = 'Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'

client = AipOcr(APP_ID, API_KEY, SECRET_KEY)
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

image = get_file_content('1.jpg')

""" 调用通用文字识别, 图片参数为本地图片 """
#client.basicGeneral(image);

""" 如果有可选参数 """
options = {}
options["language_type"] = "CHN_ENG"
options["detect_direction"] = "true"
options["detect_language"] = "true"
options["probability"] = "true"

""" 带参数调用通用文字识别, 图片参数为本地图片 """
result= client.basicGeneral(image, options)
if 'words_result' in result:
        print('\n'.join([w['words'] for w in result['words_result']]))

将指定目录下图片文件进行文字识别

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import os,sys
from aip import AipOcr

def get_access_token():
    client_id = 'IMC1ss3Tyo3vEAdVH6jgcdv2'
    client_secret = 'Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'   
     # client_id 为官网获取的AK， client_secret 为官网获取的SK
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={}&client_secret={}'.format(
        client_id, client_secret)
    response = requests.get(host).text
    data = json.loads(response)
    access_token = data['access_token']
    return access_token

""" 你的 APPID AK SK """
APP_ID = '17553946'
API_KEY = 'IMC1ss3Tyo3vEAdVH6jgcdv2'
SECRET_KEY = 'Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'

client = AipOcr(APP_ID, API_KEY, SECRET_KEY)
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

options = {}
options["language_type"] = "CHN_ENG"
options["detect_direction"] = "true"
options["detect_language"] = "true"
options["probability"] = "true"

fi_path = os.getcwd()+'/data'
fl = os.listdir(fi_path)
fl.sort()
for fl1 in fl:
    file_name = fi_path+'/' + fl1
    image = get_file_content(file_name)
    result= client.basicGeneral(image, options)
    if 'words_result' in result:
        print('\n'.join([w['words'] for w in result['words_result']]))
        print('\n')

识别图片中表格

In [2]:

import requests
import json
import base64
import time

def get_access_token():
    client_id = 'KwXkGawxh0sjOQdF9Ae9LeLb'
    client_secret = 'siprEKMp5UcRTOAngEfIOOe9x6xkqGXq'   
     # client_id 为官网获取的AK， client_secret 为官网获取的SK
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={}&client_secret={}'.format(
        client_id, client_secret)
    response = requests.get(host).text
    data = json.loads(response)
    access_token = data['access_token']
    return access_token

def get_excel(requests_id, access_token):
    headers = {'content-type': 'application/x-www-form-urlencoded'}
    pargams = {
        'request_id': requests_id,
        'result_type': 'excel'
    }
    url = 'https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/get_request_result'
    url_all = url + "?access_token=" + access_token
    res = requests.post(url_all, headers=headers, params=pargams)#访问链接获取excel下载页
    info_1 = res.json()['result']['ret_msg']
    excel_url=res.json()['result']['result_data']
    excel_1=requests.get(excel_url).content
    with open('识别结果11.xls','wb+') as f:
        f.write(excel_1)
    print(info_1)


request_url = "https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/request"
# 二进制方式打开图片文件
f = open('山东大学强基计划（2020）.jpg', 'rb')
img = base64.b64encode(f.read())

params = {"image":img}
access_token = get_access_token()
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.post(request_url, data=params, headers=headers)
if response:
    m_xx = response.json()
requests_id = m_xx['result'][0]['request_id']  
print(requests_id)
time.sleep(10)
get_excel(requests_id, access_token)

22917135_2274033
已完成

In [2]:

import requests 

# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=IMC1ss3Tyo3vEAdVH6jgcdv2&client_secret=Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'
response = requests.get(host)
if response:
    print(response.json())

{'refresh_token': '25.e1167a22bcc63f2e736768f11eb893f9.315360000.1988066377.282335-17553946', 'expires_in': 2592000, 'session_key': '9mzdWr+jeUXdQXD/259SQnM94l/zWgp0GyY6hh17Kt+kjRLgEQG9OYATKN1tjVBrQIdg8DnKb0OBJpbiVsQ/7ixzXqxduw==', 'access_token': '24.acdee0098fe862a7c598f62121a2baac.2592000.1675298377.282335-17553946', 'scope': 'brain_ocr_meter brain_doc_analysis brain_ocr_webimage_loc vis-ocr_机动车购车发票识别 brain_ocr_vehicle_invoice brain_formula vis-ocr_行程单识别 brain_ocr_air_ticket public vis-ocr_ocr brain_ocr_scope brain_ocr_general brain_ocr_general_basic vis-ocr_business_license brain_ocr_webimage brain_all_scope brain_ocr_idcard brain_ocr_driving_license brain_ocr_vehicle_license vis-ocr_plate_number brain_solution brain_ocr_plate_number brain_ocr_accurate brain_ocr_accurate_basic brain_ocr_receipt brain_ocr_business_license brain_solution_iocr brain_qrcode brain_ocr_handwriting brain_ocr_passport brain_ocr_vat_invoice brain_numbers brain_ocr_business_card brain_ocr_train_ticket brain_ocr_taxi_receipt vis-ocr_household_register vis-ocr_vis-classify_birth_certificate vis-ocr_台湾通行证 vis-ocr_港澳通行证 vis-ocr_机动车检验合格证识别 vis-ocr_车辆vin码识别 vis-ocr_定额发票识别 vis-ocr_保单识别 brain_ocr_vin brain_ocr_quota_invoice brain_ocr_birth_certificate brain_ocr_household_register brain_ocr_HK_Macau_pass brain_ocr_taiwan_pass brain_ocr_vehicle_certificate brain_ocr_insurance_doc wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online smartapp_gov_aladin_to_xcx', 'session_secret': '20a3564eae255945e2a4a45ecc57c608'}

In [14]:

import requests
import json
import base64
access_token = '24.277af0e5357bc3958c5b3cac49662a80.2592000.1606961184.282335-22917135'
headers = {'content-type': 'application/x-www-form-urlencoded'}
pargams = {
    'request_id': '22917135_2227436',
    'result_type': 'excel'
}


url = 'https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/get_request_result'
url_all = url + "?access_token=" + access_token
res = requests.post(url_all, headers=headers, params=pargams)#访问链接获取excel下载页
info_1 = res.json()['result']['ret_msg']
excel_url=res.json()['result']['result_data']
excel_1=requests.get(excel_url).content
with open('识别结果12.xls','wb+') as f:
    f.write(excel_1)
print(info_1)

已完成

In [80]:

import requests
import json
import base64
import demjson
access_token = '24.277af0e5357bc3958c5b3cac49662a80.2592000.1606961184.282335-22917135'
headers = {'content-type': 'application/x-www-form-urlencoded'}
pargams = {
    'request_id': '22917135_2227436',
    'result_type': 'json'
}


url = 'https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/get_request_result'
url_all = url + "?access_token=" + access_token
res = requests.post(url_all, headers=headers, params=pargams)#访问链接获取excel下载页
#info_1 = res.json()['result']['ret_msg']
excel_1=res.json()['result']['result_data']#['forms'][0]['body']
type(excel_1)
#excel_new = demjson.decode(excel_1)
#for m_col in excel_new['forms'][0]['body']:
#    print(m_col)
m_xx =json.loads(excel_1)

#with open('识别结果12.json','w') as fl:
#    json.dump(m_xx['forms'][0],fl,ensure_ascii=False)
#print(info_1)
#print(json.dumps(m_xx['forms'][0],ensure_ascii=False))
print(m_xx['forms'][0]['body'])

Out [80]:

list

识别保存为json文件

In [81]:

import requests
import json
import base64
import demjson
access_token = '24.277af0e5357bc3958c5b3cac49662a80.2592000.1606961184.282335-22917135'
headers = {'content-type': 'application/x-www-form-urlencoded'}
pargams = {
    'request_id': '22917135_2227436',
    'result_type': 'json'
}


url = 'https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/get_request_result'
url_all = url + "?access_token=" + access_token
res = requests.post(url_all, headers=headers, params=pargams)#访问链接获取excel下载页
#info_1 = res.json()['result']['ret_msg']
excel_1=res.json()['result']['result_data']#['forms'][0]['body']
type(excel_1)
#excel_new = demjson.decode(excel_1)
#for m_col in excel_new['forms'][0]['body']:
#    print(m_col)
m_xx =json.loads(excel_1)

with open('识别结果12.json','w') as fl:
    json.dump(m_xx['forms'][0],fl,ensure_ascii=False)
print(info_1)

已完成

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