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.
Universal text recognition return data parameter details
| Field | Required | Type | Description |
|---|---|---|---|
| No | number | Image direction, exists when detect_direction=true. |
- -1: Undefined, - 0: Forward, - 1: 90 degrees counterclockwise, - 2: 180 degrees counterclockwise, - 3: 270 degrees counterclockwise |
| is the | number | unique log id, used for problem location | |
| is the | number | identification result number, indicating the number of elements of words_result | |
| Yes | array | Location and identification result array | |
| No | string | Recognition result string |
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