
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
 as model.
To run the Docker container directly from Docker Hub and start using the API simply run the following command:
bash$ docker run -ti -p 5000:5000 deephdc/deep-oc-plant-classification-theano
This command will pull the Docker container grom the Docker Hub https://hub.docker.com/u/deephdc/ organization.
If you want to build the container directly in your machine (because you want
to modify the Dockerfile for instance) follow the following instructions:
Building the container:
Get the DEEP-OC-plant-classification repository (this repo):
bash$ git clone https://github.com/indigo-dc/DEEP-OC-plant-classification-theano
Build the container:
bash$ cd DEEP-OC-plant-classification-theano $ docker build -t deephdc/deep-oc-plant-classification-theano .
Run the container:
bash$ docker run -ti -p 5000:5000 deephdc/deep-oc-plant-classification-theano
These three steps will download the repository from GitHub and will build the
Docker container locally on your machine. You can inspect and modify the
Dockerfile in order to check what is going on. For instance, you can pass the
--debug=True flag to the deepaas-run command, in order to enable the debug
mode.
Once the container is up and running, browse to http://localhost:5000 to get
the OpenAPI (Swagger) documentation page.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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