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利用PaddlePaddle预训练模型chinese_ocr_db_crnn_mobile(https://www.paddlepaddle.org.cn/hubdetail?name=chinese_ocr_db_crnn_mobile&en_category=TextRecognition)识别中文文本。模型推理使用基于Paddle-Inference封装的paddle-predict推理器来实现。
chinese_ocr_db_crnn_mobile用于识别图片当中的汉字。其基于chinese_text_detection_db_mobile检测得到的文本框,继续识别文本框中的中文文字。识别文字算法采用CRNN(Convolutional Recurrent Neural Network)即卷积递归神经网络。其是DCNN和RNN的组合,专门用于识别图像中的序列式对象。与CTC loss配合使用,进行文字识别,可以直接从文本词级或行级的标注中学习,不需要详细的字符级的标注。
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
本模型提供了1个API接口:
API接口1:
API端点: /api/data
HTTP方法: POST
HTTP请求体:
{
"action": "predict",
"args": {
"img": <压缩图像的base64编码字符串(或其Data URL表示)>
}
}
HTTP响应体:
{
"status": "ok"|"err",
"value": [识别结果文字列表, 识别结果文字坐标列表, 带文本框定的base64编码压缩图像URL]
}
Paddle-OCR
Python Text TypeScript HTML Shell other
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