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(base) HwHiAiUser@orangepiaipro:~/wwq_workspace/tools/inference_engine_Ascend310B$ source ~/miniconda3/Ascend/cann/set_env.sh (base) HwHiAiUser@orangepiaipro:~/wwq_workspace/tools/inference_engine_Ascend310B$ npu-smi info +--------------------------------------------------------------------------------------------------------+ | npu-smi 25.2.0 Version: 25.2.0 | +-------------------------------+-----------------+------------------------------------------------------+ | NPU Name | Health | Power(W) Temp(C) Hugepages-Usage(page) | | Chip Device | Bus-Id | AICore(%) Memory-Usage(MB) | +===============================+=================+======================================================+ | 0 310B4 | Alarm | 0.0 49 15 / 15 | | 0 0 | NA | 0 4079 / 7545 | +===============================+=================+======================================================+ (base) HwHiAiUser@orangepiaipro:~/wwq_workspace/tools/inference_engine_Ascend310B$ python -c "import acl;print(acl.get_soc_name())" Ascend310B4 (base) HwHiAiUser@orangepiaipro:~/wwq_workspace/tools/inference_engine_Ascend310B$ python test_Multivideo.py ---- Inference Ascend Runtime ... ---- Init ACL Successfully Reading engine from file ./weights/yolox_x_1b_test.om [Model] Model init resource stage success [Model] create model output dataset success video_ID:1； 目标数量:1； 耗时:183.081毫秒 video_ID:1； 目标数量:1； 耗时:170.183毫秒 video_ID:1； 目标数量:1； 耗时:170.056毫秒 video_ID:1； 目标数量:1； 耗时:170.983毫秒 video_ID:1； 目标数量:1； 耗时:170.034毫秒 video_ID:1； 目标数量:1； 耗时:171.621毫秒 video_ID:1； 目标数量:1； 耗时:171.055毫秒 video_ID:1； 目标数量:1； 耗时:170.717毫秒 video_ID:1； 目标数量:1； 耗时:171.519毫秒 video_ID:1； 目标数量:1； 耗时:171.102毫秒
# 使用官方的Ubuntu:22.04镜像作为基础镜像 FROM ubuntu:22.04 # 设置环境变量 ENV DEBIAN_FRONTEND=noninteractive \ TZ=Asia/Shanghai \ LANG=zh_CN.UTF-8 \ LANGUAGE=zh_CN:zh \ LC_ALL=zh_CN.UTF-8 # 安装必要软件并配置系统（合并、清理，减小体积） RUN apt update && \ apt-get install -y --no-install-recommends --no-install-suggests \ tzdata locales libgl1 libgl1-mesa-glx libglib2.0-0 python3.10-minimal python3-pip apt-utils dkms procps libncurses5 vim wget curl language-pack-zh-hans fonts-wqy-microhei fonts-wqy-zenhei libxml2-dev libxslt-dev ffmpeg libavcodec-extra cmake build-essential ocl-icd-libopencl1 && \ locale-gen zh_CN.UTF-8 && \ ln -snf /usr/bin/python3.10 /usr/bin/python && \ ln -snf /usr/bin/pip3 /usr/bin/pip && \ ln -snf /usr/share/zoneinfo/${TZ} /etc/localtime && \ echo ${TZ} > /etc/timezone && \ dpkg-reconfigure -f noninteractive tzdata && \ apt-get clean && rm -rf /var/lib/apt/lists/* # 拷贝CANN安装包并安装 COPY ./Ascend-cann_9.1.0_linux-aarch64.run /tmp/ RUN bash /tmp/Ascend-cann_9.1.0_linux-aarch64.run --install --quiet && rm /tmp/*.run COPY ./Ascend-cann-310b-ops_9.1.0_linux-aarch64.run /tmp/ RUN bash /tmp/Ascend-cann-310b-ops_9.1.0_linux-aarch64.run --install --quiet && rm /tmp/*.run # 设置CANN环境变量 ENV ASCEND_HOME_PATH=/usr/local/Ascend/cann-9.1.0 \ ASCEND_OPP_PATH=/usr/local/Ascend/cann-9.1.0/opp \ ASCEND_AICPU_PATH=/usr/local/Ascend/cann-9.1.0 \ TOOLCHAIN_HOME=/usr/local/Ascend/cann-9.1.0/toolkit \ ASCEND_TOOLKIT_HOME=/usr/local/Ascend/cann-9.1.0 ENV PATH=/usr/local/Ascend/cann-9.1.0/bin:/usr/local/Ascend/cann-9.1.0/tools/ccec_compiler/bin:/usr/local/Ascend/cann-9.1.0/tools/profiler/bin:/usr/local/Ascend/cann-9.1.0/tools/ascend_system_advisor/asys:/usr/local/Ascend/cann-9.1.0/tools/show_kernel_debug_data:/usr/local/Ascend/cann-9.1.0/tools/msobjdump:${PATH} ENV LD_LIBRARY_PATH=/usr/local/Ascend/cann-9.1.0/lib64:/usr/local/Ascend/cann-9.1.0/lib64/plugin/opskernel:/usr/local/Ascend/cann-9.1.0/lib64/plugin/nnengine:/usr/local/Ascend/cann-9.1.0/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/aarch64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/cann-9.1.0/devlib:${LD_LIBRARY_PATH} ENV PYTHONPATH=/usr/local/Ascend/cann-9.1.0/python/site-packages:/usr/local/Ascend/cann-9.1.0/opp/built-in/op_impl/ai_core/tbe:${PYTHONPATH} ENV CMAKE_PREFIX_PATH=/usr/local/Ascend/cann-9.1.0/lib64/cmake:/usr/local/Ascend/cann-9.1.0/toolkit/tools/tikicpulib/lib/cmake:${CMAKE_PREFIX_PATH} ENV PATH=/sbin:${PATH} # 安装python3.10的基本第三方库 RUN pip install pyyaml opencv-python-headless -i https://pypi.tuna.tsinghua.edu.cn/simple # 构建容器 # docker build -t ascend_310b-base-py310:v1 -f Dockerfile-Ascend_310B .
(base) HwHiAiUser@orangepiaipro:~$ docker run -it \ --device=/dev/upgrade:/dev/upgrade \ --device=/dev/davinci0:/dev/davinci0 \ --device=/dev/davinci_manager \ --device=/dev/vdec:/dev/vdec \ --device=/dev/vpc:/dev/vpc \ --device=/dev/pngd:/dev/pngd \ --device=/dev/venc:/dev/venc \ --device=/dev/sys:/dev/sys \ --device=/dev/svm0 \ --device=/dev/ts_aisle:/dev/ts_aisle \ --device=/dev/dvpp_cmdlist:/dev/dvpp_cmdlist \ -v /etc/sys_version.conf:/etc/sys_version.conf:ro \ -v /etc/hdcBasic.cfg:/etc/hdcBasic.cfg:ro \ -v /usr/lib64/libaicpu_processer.so:/usr/lib64/libaicpu_processer.so:ro \ -v /usr/lib64/libaicpu_prof.so:/usr/lib64/libaicpu_prof.so:ro \ -v /usr/lib64/libaicpu_sharder.so:/usr/lib64/libaicpu_sharder.so:ro \ -v /usr/lib64/libadump.so:/usr/lib64/libadump.so:ro \ -v /usr/lib64/libtsd_eventclient.so:/usr/lib64/libtsd_eventclient.so:ro \ -v /usr/lib64/libaicpu_scheduler.so:/usr/lib64/libaicpu_scheduler.so:ro \ -v /usr/lib64/libcrypto.so.1.1:/usr/lib64/libcrypto.so.1.1:ro \ -v /usr/lib64/libyaml-0.so.2:/usr/lib64/libyaml-0.so.2:ro \ -v /usr/lib64/libdcmi.so:/usr/lib64/libdcmi.so:ro \ -v /usr/lib64/libmpi_dvpp_adapter.so:/usr/lib64/libmpi_dvpp_adapter.so:ro \ -v /usr/lib64/aicpu_kernels/:/usr/lib64/aicpu_kernels/:ro \ -v /usr/local/sbin/npu-smi:/usr/local/sbin/npu-smi:ro \ -v /dev/shm:/dev/shm \ -v /usr/lib64/libstackcore.so:/usr/lib64/libstackcore.so:ro \ -v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64:ro \ -v /var/slogd:/var/slogd:ro \ -v /var/dmp_daemon:/var/dmp_daemon:ro \ -v /etc/slog.conf:/etc/slog.conf:ro \ -v /home/HwHiAiUser/wwq_workspace/tools:/tools \ ascend_310b-base-py310:v1 \ /bin/bash root@234568d67c92:/# cd tools/inference_engine_Ascend310B/ root@234568d67c92:/tools/inference_engine_Ascend310B# npu-smi info bash: /usr/local/sbin/npu-smi: 没有那个文件或目录 root@234568d67c92:/tools/inference_engine_Ascend310B# ll /usr/local/sbin/ 总计 1328 drwxr-xr-x 1 root root 4096 8月 5 17:16 ./ drwxr-xr-x 1 root root 4096 8月 4 15:54 ../ -r-xr-xr-x 1 root root 1343352 9月 25 2025 npu-smi* -rwxr-xr-x 1 root root 3369 7月 31 22:30 unminimize* root@234568d67c92:/tools/inference_engine_Ascend310B# python -c "import acl;print(acl.get_soc_name())" None root@234568d67c92:/tools/inference_engine_Ascend310B# python test_Multivideo.py ---- Inference Ascend Runtime ... ---- Process Process-1: Traceback (most recent call last): File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/tools/inference_engine_Ascend310B/test_Multivideo.py", line 20, in multivideo_detection inference = get_inference(inference_config) # 获取推理器 File "/tools/inference_engine_Ascend310B/test_Multivideo.py", line 15, in get_inference inference = inference_file.Inference(config) File "/tools/inference_engine_Ascend310B/inference.py", line 21, in __init__ self.context = self.init_env() # 加载模型之前先初始化编程环境 File "/tools/inference_engine_Ascend310B/inference.py", line 35, in init_env raise RuntimeError(ret) RuntimeError: 507899 主进程结束
本帖最后由 匿名用户 于 2026/08/06 11:43:07 编辑
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已解决 已解决
遇到的问题：在开发板本地物理机上运行yolo模型推理一切正常，但是切换到docker容器中运行就会出现很多错误！
一、在本地物理机上运行的情况
二、在docker容器中运行的情况
1.docker镜像构建内容
# 使用官方的Ubuntu:22.04镜像作为基础镜像 FROM ubuntu:22.04 # 设置环境变量 ENV DEBIAN_FRONTEND=noninteractive \ TZ=Asia/Shanghai \ LANG=zh_CN.UTF-8 \ LANGUAGE=zh_CN:zh \ LC_ALL=zh_CN.UTF-8 # 安装必要软件并配置系统（合并、清理，减小体积） RUN apt update && \ apt-get install -y --no-install-recommends --no-install-suggests \ tzdata locales libgl1 libgl1-mesa-glx libglib2.0-0 python3.10-minimal python3-pip apt-utils dkms procps libncurses5 vim wget curl language-pack-zh-hans fonts-wqy-microhei fonts-wqy-zenhei libxml2-dev libxslt-dev ffmpeg libavcodec-extra cmake build-essential ocl-icd-libopencl1 && \ locale-gen zh_CN.UTF-8 && \ ln -snf /usr/bin/python3.10 /usr/bin/python && \ ln -snf /usr/bin/pip3 /usr/bin/pip && \ ln -snf /usr/share/zoneinfo/${TZ} /etc/localtime && \ echo ${TZ} > /etc/timezone && \ dpkg-reconfigure -f noninteractive tzdata && \ apt-get clean && rm -rf /var/lib/apt/lists/* # 拷贝CANN安装包并安装 COPY ./Ascend-cann_9.1.0_linux-aarch64.run /tmp/ RUN bash /tmp/Ascend-cann_9.1.0_linux-aarch64.run --install --quiet && rm /tmp/*.run COPY ./Ascend-cann-310b-ops_9.1.0_linux-aarch64.run /tmp/ RUN bash /tmp/Ascend-cann-310b-ops_9.1.0_linux-aarch64.run --install --quiet && rm /tmp/*.run # 设置CANN环境变量 ENV ASCEND_HOME_PATH=/usr/local/Ascend/cann-9.1.0 \ ASCEND_OPP_PATH=/usr/local/Ascend/cann-9.1.0/opp \ ASCEND_AICPU_PATH=/usr/local/Ascend/cann-9.1.0 \ TOOLCHAIN_HOME=/usr/local/Ascend/cann-9.1.0/toolkit \ ASCEND_TOOLKIT_HOME=/usr/local/Ascend/cann-9.1.0 ENV PATH=/usr/local/Ascend/cann-9.1.0/bin:/usr/local/Ascend/cann-9.1.0/tools/ccec_compiler/bin:/usr/local/Ascend/cann-9.1.0/tools/profiler/bin:/usr/local/Ascend/cann-9.1.0/tools/ascend_system_advisor/asys:/usr/local/Ascend/cann-9.1.0/tools/show_kernel_debug_data:/usr/local/Ascend/cann-9.1.0/tools/msobjdump:${PATH} ENV LD_LIBRARY_PATH=/usr/local/Ascend/cann-9.1.0/lib64:/usr/local/Ascend/cann-9.1.0/lib64/plugin/opskernel:/usr/local/Ascend/cann-9.1.0/lib64/plugin/nnengine:/usr/local/Ascend/cann-9.1.0/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/aarch64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/cann-9.1.0/devlib:${LD_LIBRARY_PATH} ENV PYTHONPATH=/usr/local/Ascend/cann-9.1.0/python/site-packages:/usr/local/Ascend/cann-9.1.0/opp/built-in/op_impl/ai_core/tbe:${PYTHONPATH} ENV CMAKE_PREFIX_PATH=/usr/local/Ascend/cann-9.1.0/lib64/cmake:/usr/local/Ascend/cann-9.1.0/toolkit/tools/tikicpulib/lib/cmake:${CMAKE_PREFIX_PATH} ENV PATH=/sbin:${PATH} # 安装python3.10的基本第三方库 RUN pip install pyyaml opencv-python-headless -i https://pypi.tuna.tsinghua.edu.cn/simple # 构建容器 # docker build -t ascend_310b-base-py310:v1 -f Dockerfile-Ascend_310B .2.在docker容器中运行结果
(base) HwHiAiUser@orangepiaipro:~$ docker run -it \ --device=/dev/upgrade:/dev/upgrade \ --device=/dev/davinci0:/dev/davinci0 \ --device=/dev/davinci_manager \ --device=/dev/vdec:/dev/vdec \ --device=/dev/vpc:/dev/vpc \ --device=/dev/pngd:/dev/pngd \ --device=/dev/venc:/dev/venc \ --device=/dev/sys:/dev/sys \ --device=/dev/svm0 \ --device=/dev/ts_aisle:/dev/ts_aisle \ --device=/dev/dvpp_cmdlist:/dev/dvpp_cmdlist \ -v /etc/sys_version.conf:/etc/sys_version.conf:ro \ -v /etc/hdcBasic.cfg:/etc/hdcBasic.cfg:ro \ -v /usr/lib64/libaicpu_processer.so:/usr/lib64/libaicpu_processer.so:ro \ -v /usr/lib64/libaicpu_prof.so:/usr/lib64/libaicpu_prof.so:ro \ -v /usr/lib64/libaicpu_sharder.so:/usr/lib64/libaicpu_sharder.so:ro \ -v /usr/lib64/libadump.so:/usr/lib64/libadump.so:ro \ -v /usr/lib64/libtsd_eventclient.so:/usr/lib64/libtsd_eventclient.so:ro \ -v /usr/lib64/libaicpu_scheduler.so:/usr/lib64/libaicpu_scheduler.so:ro \ -v /usr/lib64/libcrypto.so.1.1:/usr/lib64/libcrypto.so.1.1:ro \ -v /usr/lib64/libyaml-0.so.2:/usr/lib64/libyaml-0.so.2:ro \ -v /usr/lib64/libdcmi.so:/usr/lib64/libdcmi.so:ro \ -v /usr/lib64/libmpi_dvpp_adapter.so:/usr/lib64/libmpi_dvpp_adapter.so:ro \ -v /usr/lib64/aicpu_kernels/:/usr/lib64/aicpu_kernels/:ro \ -v /usr/local/sbin/npu-smi:/usr/local/sbin/npu-smi:ro \ -v /dev/shm:/dev/shm \ -v /usr/lib64/libstackcore.so:/usr/lib64/libstackcore.so:ro \ -v /usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64:ro \ -v /var/slogd:/var/slogd:ro \ -v /var/dmp_daemon:/var/dmp_daemon:ro \ -v /etc/slog.conf:/etc/slog.conf:ro \ -v /home/HwHiAiUser/wwq_workspace/tools:/tools \ ascend_310b-base-py310:v1 \ /bin/bash root@234568d67c92:/# cd tools/inference_engine_Ascend310B/ root@234568d67c92:/tools/inference_engine_Ascend310B# npu-smi info bash: /usr/local/sbin/npu-smi: 没有那个文件或目录 root@234568d67c92:/tools/inference_engine_Ascend310B# ll /usr/local/sbin/ 总计 1328 drwxr-xr-x 1 root root 4096 8月 5 17:16 ./ drwxr-xr-x 1 root root 4096 8月 4 15:54 ../ -r-xr-xr-x 1 root root 1343352 9月 25 2025 npu-smi* -rwxr-xr-x 1 root root 3369 7月 31 22:30 unminimize* root@234568d67c92:/tools/inference_engine_Ascend310B# python -c "import acl;print(acl.get_soc_name())" None root@234568d67c92:/tools/inference_engine_Ascend310B# python test_Multivideo.py ---- Inference Ascend Runtime ... ---- Process Process-1: Traceback (most recent call last): File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/tools/inference_engine_Ascend310B/test_Multivideo.py", line 20, in multivideo_detection inference = get_inference(inference_config) # 获取推理器 File "/tools/inference_engine_Ascend310B/test_Multivideo.py", line 15, in get_inference inference = inference_file.Inference(config) File "/tools/inference_engine_Ascend310B/inference.py", line 21, in __init__ self.context = self.init_env() # 加载模型之前先初始化编程环境 File "/tools/inference_engine_Ascend310B/inference.py", line 35, in init_env raise RuntimeError(ret) RuntimeError: 507899 主进程结束