Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe cc4b427e25 | 2 months ago | |
---|---|---|
app | 10 months ago | |
demo_data | 10 months ago | |
docs | 10 months ago | |
.gitignore | 10 months ago | |
Dockerfile | 10 months ago | |
LICENSE | 10 months ago | |
README.md | 2 months ago | |
application.yml | 10 months ago | |
build-docker.sh | 10 months ago | |
pack_model.py | 10 months ago | |
pip-install-reqs.sh | 10 months ago | |
requirements.txt | 9 months ago | |
run_model_server.py | 10 months ago |
本模型主要包括三个主要部分,Convolutional Backbone提取图像视觉特征,ConvTransformer Blocks用于对视觉特征进行上下文建模,最后连接CTC loss进行识别解码以及网络梯度优化。
原始PyTorch模型: https://www.modelscope.cn/models/damo/cv_convnextTiny_ocr-recognition-handwritten_damo/summary
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》
No Description
Text Python Shell Dockerfile
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》