Pothole_Detection:使用Masked-RCNN的坑洞检测

上传者: 42130889 | 上传时间: 2023-02-07 17:03:11 | 文件大小: 5.66MB | 文件类型: ZIP
未来发展 建筑学 一般流程 视频输出 坑洼部署 坑洼探测系统的部署环境 Sagemaker部署说明 将定制的机器学习包部署到sagemaker。 有很多活动部件。 让我们通过标准的工作流程。 Docker镜像 关键组件是使您的设置能够正确使用docker进行编译。 安装Docker并使用docker run hello-world测试hello world示例,您应该看到“来自Docker的Hello !!此消息表明您的安装似乎正常工作”。 运行以下标准命令以在本地验证设置: Docker build -t trial1 . 它将构建环境并下载大型模型 Docker run -p 80:8080 trial1 serve . 这将在本地启动docker容器。 运行[serve]程序/命令,该命令将启动wsgi和predictor.py Flask处理程序。 •注意:如果收到错误“

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