docker.io/heartexlabs/label-studio-ml-backend:sam-master linux/amd64

docker.io/heartexlabs/label-studio-ml-backend:sam-master - 国内下载镜像源 浏览次数:42
源镜像 docker.io/heartexlabs/label-studio-ml-backend:sam-master
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master
镜像ID sha256:bb63791e34ad85baf7adcf2e2bcefc57df7d47f662186f592adbb96cf3084fc0
镜像TAG sam-master
大小 8.87GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/sh -c gunicorn --bind :${PORT:-9090} --workers $WORKERS --threads $THREADS --timeout 0 _wsgi:app
启动入口
工作目录 /app
OS/平台 linux/amd64
浏览量 42 次
贡献者
镜像创建 2025-01-08T16:46:29.557572299Z
同步时间 2025-01-10 00:16
更新时间 2025-02-05 19:01
开放端口
9090/tcp
环境变量
PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.10.16 PYTHON_SHA256=bfb249609990220491a1b92850a07135ed0831e41738cf681d63cf01b2a8fbd1 PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1 PORT=9090 PIP_CACHE_DIR=/.cache WORKERS=1 THREADS=8 VITH_CHECKPOINT=/app/models/sam_vit_h_4b8939.pth MOBILESAM_CHECKPOINT=/app/models/mobile_sam.pt ONNX_CHECKPOINT=/app/models/sam_onnx_quantized_example.onnx
镜像安全扫描 查看Trivy扫描报告

系统OS: debian 12.8 扫描引擎: Trivy 扫描时间: 2025-01-10 00:19

低危漏洞:377 中危漏洞:742 高危漏洞:131 严重漏洞:9

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master  docker.io/heartexlabs/label-studio-ml-backend:sam-master

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master  docker.io/heartexlabs/label-studio-ml-backend:sam-master

Shell快速替换命令

sed -i 's#heartexlabs/label-studio-ml-backend:sam-master#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master  docker.io/heartexlabs/label-studio-ml-backend:sam-master'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/heartexlabs/label-studio-ml-backend:sam-master  docker.io/heartexlabs/label-studio-ml-backend:sam-master'

镜像构建历史


# 2025-01-09 00:46:29  0.00B 设置默认要执行的命令
CMD ["/bin/sh" "-c" "gunicorn --bind :${PORT:-9090} --workers $WORKERS --threads $THREADS --timeout 0 _wsgi:app"]
                        
# 2025-01-09 00:46:29  0.00B 声明容器运行时监听的端口
EXPOSE map[9090/tcp:{}]
                        
# 2025-01-09 00:46:29  25.26MB 执行命令并创建新的镜像层
RUN |1 TEST_ENV= /bin/sh -c python3 onnxconverter.py # buildkit
                        
# 2025-01-09 00:46:15  27.25KB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-01-09 00:46:15  0.00B 执行命令并创建新的镜像层
RUN |1 TEST_ENV= /bin/sh -c if [ "$TEST_ENV" = "true" ]; then       pip install -r requirements-test.txt;     fi # buildkit
                        
# 2025-01-09 00:46:15  17.00B 复制新文件或目录到容器中
COPY requirements-test.txt . # buildkit
                        
# 2025-01-09 00:46:15  4.66GB 执行命令并创建新的镜像层
RUN |1 TEST_ENV= /bin/sh -c pip install -r requirements.txt # buildkit
                        
# 2025-01-09 00:44:58  362.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-01-09 00:44:58  240.23MB 执行命令并创建新的镜像层
RUN |1 TEST_ENV= /bin/sh -c pip install --upgrade pip &&     pip install -r requirements-base.txt # buildkit
                        
# 2025-01-09 00:44:32  97.00B 复制新文件或目录到容器中
COPY requirements-base.txt . # buildkit
                        
# 2025-01-09 00:44:32  2.61GB 执行命令并创建新的镜像层
RUN |1 TEST_ENV= /bin/sh -c bash /app/download_models.sh # buildkit
                        
# 2025-01-09 00:44:20  606.00B 复制新文件或目录到容器中
COPY download_models.sh . # buildkit
                        
# 2025-01-09 00:44:20  1.22GB 执行命令并创建新的镜像层
RUN |1 TEST_ENV= /bin/sh -c set -eux;     apt-get update;     apt-get upgrade -y;     apt install --no-install-recommends -y          wget git libopencv-dev python3-opencv cmake protobuf-compiler;     apt-get autoremove -y # buildkit
                        
# 2025-01-09 00:43:38  0.00B 设置环境变量 PYTHONUNBUFFERED PYTHONDONTWRITEBYTECODE PORT PIP_CACHE_DIR WORKERS THREADS VITH_CHECKPOINT MOBILESAM_CHECKPOINT ONNX_CHECKPOINT
ENV PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1 PORT=9090 PIP_CACHE_DIR=/.cache WORKERS=1 THREADS=8 VITH_CHECKPOINT=/app/models/sam_vit_h_4b8939.pth MOBILESAM_CHECKPOINT=/app/models/mobile_sam.pt ONNX_CHECKPOINT=/app/models/sam_onnx_quantized_example.onnx
                        
# 2025-01-09 00:43:38  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-01-09 00:43:38  0.00B 定义构建参数
ARG TEST_ENV
                        
# 2024-12-05 00:49:14  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-12-05 00:49:14  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2024-12-05 00:49:14  43.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		--with-lto 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -r dpkg-query --search 		| cut -d: -f1 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		wheel 	; 	pip3 --version # buildkit
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=bfb249609990220491a1b92850a07135ed0831e41738cf681d63cf01b2a8fbd1
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.16
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2024-12-05 00:49:14  8.48MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-12-05 00:49:14  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-12-05 00:49:14  74.82MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1734912000'
                        
                    

镜像信息

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}

更多版本

docker.io/heartexlabs/label-studio-ml-backend:sam-master

linux/amd64 docker.io8.87GB2025-01-10 00:16
41