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注意：这是一个 latest 标签镜像

latest 并不代表最新版本，本站同步时间存在延迟，无法保证此镜像与上游最新版本一致。
生产环境建议使用明确的版本号（如 v1.2.3），避免因版本不一致导致问题。 了解更多 →

logo
ghcr.io/gammahazard/locate-anything-backend:latest
linux/amd64 ghcr.io

该镜像为Locate Anything项目的后端服务镜像，提供定位相关功能的后端支持，用于处理前端请求、数据存储与业务逻辑处理等任务。

7
浏览次数
12.58GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest
源镜像
ghcr.io/gammahazard/locate-anything-backend:latest
镜像ID
sha256:2c7309c19bc4cb597dc0c324a7b3632cdeee72bb691277747506bc333996bf50
镜像 TAG
latest
镜像大小
12.58GB
平台架构
linux/amd64
镜像源
ghcr.io
CMD
uvicorn app:app --host 0.0.0.0 --port 8000
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/app
OS/平台
linux/amd64
镜像创建
2026-06-02T06:26:03.651796545Z
同步时间
2026-08-10 00:34
浏览量
7 次
贡献者
🔌 开放端口 1
8000/tcp
⚙️ 环境变量 29
KeyValue
PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 2
NV_CUDA_CUDART_VERSION=12.8.90-1 3
CUDA_VERSION=12.8.1 4
LD_LIBRARY_PATH=/usr/local/cuda/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=12.8.1-1 8
NV_NVTX_VERSION=12.8.90-1 9
NV_LIBNPP_VERSION=12.3.3.100-1 10
NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1 11
NV_LIBCUSPARSE_VERSION=12.5.8.93-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8 13
NV_LIBCUBLAS_VERSION=12.8.4.1-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 17
NCCL_VERSION=2.25.1-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_CUDNN_VERSION=9.8.0.87-1 21
NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12 22
NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1 23
DEBIAN_FRONTEND=noninteractive 24
PYTHONUNBUFFERED=1 25
PIP_NO_CACHE_DIR=1 26
LA_DATA_DIR=/data 27
HF_HOME=/hf_cache 28
🏷️ 镜像标签 11
KeyValue
9.8.0.87-1 com.nvidia.cudnn.version
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
2026-06-02T06:23:26.835Z org.opencontainers.image.created
Sleek, mobile-friendly web UI for NVIDIA LocateAnything-3B — open-vocabulary object detection & grounding on your own GPU, via one docker compose up. org.opencontainers.image.description
Apache-2.0 org.opencontainers.image.licenses
ubuntu org.opencontainers.image.ref.name
49c36a099142c342369d9bc333e5623b2fa6f8fe org.opencontainers.image.revision
https://github.com/gammahazard/locate-anything org.opencontainers.image.source
locate-anything org.opencontainers.image.title
https://github.com/gammahazard/locate-anything org.opencontainers.image.url
0.1.3 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2026-08-10 00:36 查看完整报告
394
低危 LOW
2869
中危 MEDIUM
224
高危 HIGH
19
严重 CRITICAL
受影响目标 (2)
ghcr.io/gammahazard/locate-anything-backend:latest (ubuntu 22.04) ubuntu Python python-pkg
无权限下载？点我修复 生成 Docker Run 命令 生成 Kubernetes YAML

Docker拉取命令 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest  ghcr.io/gammahazard/locate-anything-backend:latest

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest  ghcr.io/gammahazard/locate-anything-backend:latest

Shell快速替换命令 

sed -i 's#ghcr.io/gammahazard/locate-anything-backend:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest#' deployment.yaml

Ansible快速分发-Docker 

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest  ghcr.io/gammahazard/locate-anything-backend:latest'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest  ghcr.io/gammahazard/locate-anything-backend:latest'

镜像构建历史 


# 2026-06-02 14:26:03  0.00B 设置默认要执行的命令
CMD ["uvicorn" "app:app" "--host" "0.0.0.0" "--port" "8000"]
                        
# 2026-06-02 14:26:03  0.00B 声明容器运行时监听的端口
EXPOSE [8000/tcp]
                        
# 2026-06-02 14:26:03  35.53KB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2026-06-02 14:26:03  434.53MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install -r requirements.txt # buildkit
                        
# 2026-06-02 14:25:46  794.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2026-06-02 14:25:46  7.13GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --upgrade pip     && pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu128 # buildkit
                        
# 2026-06-02 14:24:19  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-06-02 14:24:19  566.11MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     python3 python3-pip python3-dev build-essential git     libgl1 libglib2.0-0     && ln -sf /usr/bin/python3 /usr/bin/python     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-06-02 14:24:19  0.00B 设置环境变量 DEBIAN_FRONTEND PYTHONUNBUFFERED PIP_NO_CACHE_DIR LA_DATA_DIR HF_HOME
ENV DEBIAN_FRONTEND=noninteractive PYTHONUNBUFFERED=1 PIP_NO_CACHE_DIR=1 LA_DATA_DIR=/data HF_HOME=/hf_cache
                        
# 2025-03-11 07:07:53  1.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 07:07:53  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.8.0.87-1
                        
# 2025-03-11 07:07:53  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 07:07:53  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.8.0.87-1
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
                        
# 2025-03-11 07:07:53  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.8.0.87-1
                        
# 2025-03-11 06:24:31  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-03-11 06:24:31  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-03-11 06:24:31  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-03-11 06:24:31  263.00KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2025-03-11 06:24:31  3.11GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-12-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-8=${NV_NVTX_VERSION}     libcusparse-12-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:24:31  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:24:31  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.8.93-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
                        
# 2025-03-11 06:24:31  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-03-11 06:19:20  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-03-11 06:19:20  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-11 06:19:20  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-03-11 06:19:20  203.35MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-12-8=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
                        
# 2025-03-11 06:19:05  10.60MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb &&     dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-11 06:19:05  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-03-11 06:19:05  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
                        
# 2025-03-11 06:19:05  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:2c7309c19bc4cb597dc0c324a7b3632cdeee72bb691277747506bc333996bf50",
    "RepoTags": [
        "ghcr.io/gammahazard/locate-anything-backend:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend:latest"
    ],
    "RepoDigests": [
        "ghcr.io/gammahazard/locate-anything-backend@sha256:2226258d46b797fac00e9f5740b98adb51274d86c2ddafa34b8d5d3693c22367",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/gammahazard/locate-anything-backend@sha256:3dc969432ee09ff9759c694b53073e7e128eecb6fd18e98c465203258274c046"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-06-02T06:26:03.651796545Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
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}

更多版本

ghcr.io/gammahazard/locate-anything-backend:latest

linux/amd64 ghcr.io12.58GB2026-08-10 00:34
6
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