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@ -10,7 +10,7 @@ nuctl del <fun-name>
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nuctl del projects cvat
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nuctl create projects cvat
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nuctl create project cvat
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docker logs nuclio-nuclio-ultralytics-yolov5_firesmoke_1.0
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@ -54,6 +54,27 @@ sudo usermod -aG docker $USER
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git clone https://github.com/opencv/cvat
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cd cvat
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以下对于docker的操作慎用,会删掉所有数据样本:
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删除所有dangling数据卷(即无用的Volume,僵尸文件)
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docker volume rm $(docker volume ls -qf dangling=true)
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删除所有dangling镜像(即无tag的镜像)
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docker rmi $(docker images | grep “^” | awk “{print $3}”)
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删除所有关闭的容器
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docker ps -a | grep Exit | cut -d ’ ’ -f 1 | xargs docker rm
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___________________________________________________
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问题总结:
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1. yolov5这种模型部署,docker会去下载模型,这个没法加代理,所以会很慢,前面出现过过一段时间就好了,应该是这个原因。
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2. 自动标注有任何问题,直接看容器的打印,光看网页报错没有作用, docker logs nuclio-nuclio-ultralytics-yolov5
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