docker pull docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:v4000 docker pull docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:all
docker run -d --name datasets_v4000 docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:v4000
docker run -d --name datasets docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:all
docker cp datasets:/workspace/datasets ./datasets
docker run --rm -v /dataset_v4000:/docker_dir docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:v4000 cp -a /datasets/. /docker_dir/
docker create --name temp_ds --platform linux/amd64 docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:v4000 && docker cp temp_ds:/datasets ./dataset_v4000 && docker rm temp_ds
docker history --no-trunc docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:v4000
docker run --rm -v /datasets:/docker_dir docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:fitered cp -a /datasets/. /docker_dir/
docker create --name temp_ds --platform linux/amd64 docker.cnb.cool/huijiangyuan.gz/docker/helmet-datasets:fitered && docker cp temp_ds:/datasets ./datasets/archive_filtered && docker rm temp_ds
mkdir -p runs/detect && echo "test" > runs/detect/test.txt
#docker create --name xu docker.cnb.cool/cnb-xu/comfyui/cnb-xu:latest && docker cp xu:/cnb-xu ./xu && docker rm xu
#加载训练进度 docker create --name temp_runs docker.cnb.cool/huijiangyuan.gz/desslee/yolo-train-demo/main-runs:latest && docker cp temp_runs:/runs . && docker rm temp_runs
