Python OCR 텍스트 인식 방법은 무엇입니까?

pip install pillow
pip install pytesseract

import pytesseract
from PIL import Image
if __name__ == '__main__':
    text = pytesseract.image_to_string(Image.open("D:\\test.png"),lang="eng")  
    # 如果你想试试Tesseract识别中文，只需要将代码中的eng改为chi_sim即可
    print(text)

tesseract E://figures/other/timg.jpg E://figures/other/timg.txt -l chi_sim

import pytesseract
from PIL import Image
pytesseract.pytesseract.tesseract_cmd = 'C://Program Files (x86)/Tesseract-OCR/tesseract.exe'
text = pytesseract.image_to_string(Image.open('E://figures/other/poems.jpg'))
print(text)

pip install cnocr

from cnocr import CnOcr
ocr = CnOcr()
res = ocr.ocr('test.png')
print("Predicted Chars:", res)

# coding=utf-8
import sys
import json
import base64
# 保证兼容python2以及python3
IS_PY3 = sys.version_info.major == 3
if IS_PY3:
    from urllib.request import urlopen
    from urllib.request import Request
    from urllib.error import URLError
    from urllib.parse import urlencode
    from urllib.parse import quote_plus
else:
    import urllib2
    from urllib import quote_plus
    from urllib2 import urlopen
    from urllib2 import Request
    from urllib2 import URLError
    from urllib import urlencode
# 防止https证书校验不正确
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
API_KEY = 'YsZKG1wha34PlDOPYaIrIIKO'
SECRET_KEY = 'HPRZtdOHrdnnETVsZM2Nx7vbDkMfxrkD'
OCR_URL = "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate_basic"
"""  TOKEN start """
TOKEN_URL = 'https://aip.baidubce.com/oauth/2.0/token'
"""
    获取token
"""
def fetch_token():
    params = {'grant_type': 'client_credentials',
              'client_id': API_KEY,
              'client_secret': SECRET_KEY}
    post_data = urlencode(params)
    if (IS_PY3):
        post_data = post_data.encode('utf-8')
    req = Request(TOKEN_URL, post_data)
    try:
        f = urlopen(req, timeout=5)
        result_str = f.read()
    except URLError as err:
        print(err)
    if (IS_PY3):
        result_str = result_str.decode()
    result = json.loads(result_str)
    if ('access_token' in result.keys() and 'scope' in result.keys()):
        if not 'brain_all_scope' in result['scope'].split(' '):
            print ('please ensure has check the  ability')
            exit()
        return result['access_token']
    else:
        print ('please overwrite the correct API_KEY and SECRET_KEY')
        exit()
"""
    读取文件
"""
def read_file(image_path):
    f = None
    try:
        f = open(image_path, 'rb')
        return f.read()
    except:
        print('read image file fail')
        return None
    finally:
        if f:
            f.close()
"""
    调用远程服务
"""
def request(url, data):
    req = Request(url, data.encode('utf-8'))
    has_error = False
    try:
        f = urlopen(req)
        result_str = f.read()
        if (IS_PY3):
            result_str = result_str.decode()
        return result_str
    except  URLError as err:
        print(err)
if __name__ == '__main__':
    # 获取access token
    token = fetch_token()
    # 拼接通用文字识别高精度url
    image_url = OCR_URL + "?access_token=" + token
    text = ""
    # 读取测试图片
    file_content = read_file('test.jpg')
    # 调用文字识别服务
    result = request(image_url, urlencode({'image': base64.b64encode(file_content)}))
    # 解析返回结果
    result_json = json.loads(result)
    print(result_json)
    for words_result in result_json["words_result"]:
        text = text + words_result["words"]
    # 打印文字
    print(text)

from aip import AipOcr
APP_ID = '25**9878'
API_KEY = 'VGT8y***EBf2O8xNRxyHrPNr'
SECRET_KEY = 'ckDyzG*****N3t0MTgvyYaKUnSl6fSw'
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('test.jpg')
res = client.basicGeneral(image)
print(res)
#res = client.basicAccurate(image)
#print(res)

from aip import AipOcr
APP_ID = '25**9878'
API_KEY = 'VGT8y***EBf2O8xNRxyHrPNr'
SECRET_KEY = 'ckDyzG*****N3t0MTgvyYaKUnSl6fSw'
client = AipOcr(APP_ID,API_KEY,SECRET_KEY)
from io import BytesIO
from PIL import ImageGrab
out_buffer = BytesIO()
img = ImageGrab.grab((100,200,300,400))
img.save(out_buffer,format='PNG')
res = client.basicGeneral(out_buffer.getvalue())
print(res)