利用百度接口识别图片文字
作者:YXN-python 阅读量:130 发布日期:2023-05-17
前提:需要在百度智能云申请权限,此处不提供申请教程了,直接上代码:
import hashlib
import random
import requests
from aip import AipNlp, AipOcr
class Recognition:
def __init__(self, app: dict):
self.app_id = app['app_id']
self.api_key = app['api_key']
self.secret_key = app['secret_key']
self.client = AipNlp(self.app_id, self.api_key, self.secret_key)
self.client_ocr = AipOcr(self.app_id, self.api_key, self.secret_key) # 初始化百度OCR API客户端
# 图片翻译
def translate_image(self, image_path):
with open(image_path, 'rb') as f:
image = f.read()
result = self.client_ocr.basicGeneral(image)
if 'error_code' in result:
print('图片翻译失败,错误码:', result['error_code'], '错误信息:', result['error_msg'])
else:
text = ''.join([word['words'] for word in result['words_result']])
print(text)
# translate_text(text, 'auto', 'en') # 将识别出的文字进行翻译,这里示例将识别语言为自动检测,目标语言为英语
return result
if __name__ == '__main__':
def main_start():
request_args = {
"app_id": 'xxxxxx',
"api_key": 'xxxxxx',
"secret_key": 'xxxxxx'
}
translate_api = Recognition(request_args)
# # 测试图片翻译
text = translate_api.translate_image('./1.jpg')
print(text)
main_start()
YXN-python
2023-05-17