Example of Python text recognition based on Baidu AI

This article mainly introduces examples of text recognition in Python based on Baidu AI. Now I share it with you and give it a reference. Let's take a look at it

Using Baidu AI's text recognition library, the call example is made, where filePath is the path of the image, and you can pass in a picture with text for recognition.

To download the baidu-aip library, you can directly use pip to download: pip install baidu-aip, or you can download it in development tools such as PyCharm.

Then run the following code.

# -*- coding: UTF-8 -*- 
 
from aip import AipOcr 
import json 
 
# 定义常量 
APP_ID = '9851066' 
API_KEY = 'LUGBatgyRGoerR9FZbV4SQYk' 
SECRET_KEY = 'fB2MNz1c2UHLTximFlC4laXPg7CVfyjV' 
 
# 初始化AipFace对象 
aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) 
 
# 读取图片 
filePath = "WechatIMG1.jpeg" 
def get_file_content(filePath): 
  with open(filePath, 'rb') as fp: 
    return fp.read() 
 
# 定义参数变量 
options = { 
 'detect_direction': 'true', 
 'language_type': 'CHN_ENG', 
} 
 
# 调用通用文字识别接口 
result = aipOcr.basicGeneral(get_file_content(filePath), options) 
print(json.dumps(result).decode("unicode-escape"))

Output result:

{"log_id": 1424393327, "direction": 0, "words_result_num": 2, "words_result": [{"words": "It's all about money!"}, {"words": "Skill"}]}

There were several errors in my identification this time, which were related to unclear pictures. Below is the picture I identified.

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