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在华为云创建的notebook，镜像为ms2.7.1-cann8.2rc1:v3，之后安装mindyolo一直报numpy版本冲突

news 2026/7/9 21:55:45

问题描述

Using user ma-user Ubuntu Jammy Jellyfish (development branch), CANN-8.2.RC1 [V100R001C15],[V100R001C18],[V100R001C19],[V100R001C20],[V100R001C21],[V100R001C23] Tips: Navigate to the target conda environment. For details, see /home/ma-user/README. Copy (Ctrl+C) and paste (Ctrl+V) on the jupyter terminal. Store your data in /home/ma-user/work, to which a persistent volume is mounted. Exercise caution when using plaintext passwords, hard-coded AK/SK, or directly entering them in the command line. [ma-user work]$git clone https://github.com/mindspore-lab/mindyolo.git Cloning into ‘mindyolo’… remote: Enumerating objects: 3535, done. remote: Counting objects: 100% (188/188), done. remote: Compressing objects: 100% (94/94), done. remote: Total 3535 (delta 125), reused 107 (delta 94), pack-reused 3347 (from 2) Receiving objects: 100% (3535/3535), 6.75 MiB | 832.00 KiB/s, done. Resolving deltas: 100% (2059/2059), done. [ma-user work]$cd mindyolo pip install -e . Looking in indexes: http://pip.modelarts.private.com:8888/repository/pypi/simple Obtaining file:///home/ma-user/work/mindyolo Installing build dependencies … done Checking if build backend supports build_editable … done Getting requirements to build editable … done Preparing editable metadata (pyproject.toml) … done Collecting pybind11>=2.10.4 (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/pybind11/3.0.1/pybind11-3.0.1-py3-none-any.whl (293 kB) Requirement already satisfied: numpy>=1.17.0 in /usr/local/python3.10.14/lib/python3.10/site-packages (from mindyolo==0.5.0) (1.21.2) Requirement already satisfied: PyYAML>=5.3 in /usr/local/python3.10.14/lib/python3.10/site-packages (from mindyolo==0.5.0) (6.0.3) Collecting tqdm (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/tqdm/4.67.1/tqdm-4.67.1-py3-none-any.whl (78 kB) Collecting opencv-python>=4.7.0.68 (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/opencv-python/4.12.0.88/opencv_python-4.12.0.88-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (45.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.9/45.9 MB 190.3 MB/s 0:00:00 Collecting opencv-python-headless>=4.7.0.68 (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/opencv-python-headless/4.12.0.88/opencv_python_headless-4.12.0.88-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (33.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33.1/33.1 MB 228.0 MB/s 0:00:00 Collecting albumentations>=1.0.3 (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/albumentations/2.0.8/albumentations-2.0.8-py3-none-any.whl (369 kB) Collecting pycocotools>=2.0.2 (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/pycocotools/2.0.10/pycocotools-2.0.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (445 kB) Collecting numpy>=1.17.0 (from mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/numpy/2.2.6/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.3/14.3 MB 205.7 MB/s 0:00:00 Requirement already satisfied: scipy>=1.10.0 in /usr/local/python3.10.14/lib/python3.10/site-packages (from albumentations>=1.0.3->mindyolo==0.5.0) (1.10.1) Collecting pydantic>=2.9.2 (from albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/pydantic/2.12.4/pydantic-2.12.4-py3-none-any.whl (463 kB) Collecting albucore==0.0.24 (from albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/albucore/0.0.24/albucore-0.0.24-py3-none-any.whl (15 kB) Collecting stringzilla>=3.10.4 (from albucore==0.0.24->albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/stringzilla/4.2.3/stringzilla-4.2.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl (424 kB) Collecting simsimd>=5.9.2 (from albucore==0.0.24->albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/simsimd/6.5.3/simsimd-6.5.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (562 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 562.5/562.5 kB 64.0 MB/s 0:00:00 Collecting annotated-types>=0.6.0 (from pydantic>=2.9.2->albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/annotated-types/0.7.0/annotated_types-0.7.0-py3-none-any.whl (13 kB) Collecting pydantic-core==2.41.5 (from pydantic>=2.9.2->albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/pydantic-core/2.41.5/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.9/1.9 MB 148.6 MB/s 0:00:00 Requirement already satisfied: typing-extensions>=4.14.1 in /usr/local/python3.10.14/lib/python3.10/site-packages (from pydantic>=2.9.2->albumentations>=1.0.3->mindyolo==0.5.0) (4.15.0) Collecting typing-inspection>=0.4.2 (from pydantic>=2.9.2->albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/typing-inspection/0.4.2/typing_inspection-0.4.2-py3-none-any.whl (14 kB) INFO: pip is looking at multiple versions of scipy to determine which version is compatible with other requirements. This could take a while. Collecting scipy>=1.10.0 (from albumentations>=1.0.3->mindyolo==0.5.0) Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/scipy/1.15.3/scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (35.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 35.5/35.5 MB 228.1 MB/s 0:00:00 Building wheels for collected packages: mindyolo Building editable for mindyolo (pyproject.toml) … done Created wheel for mindyolo: filename=mindyolo-0.5.0-0.editable-py3-none-any.whl size=8487 sha256=29135b7ada571179177d4791e868626adf7493303925a08f342b192774d3b91a Stored in directory: /tmp/pip-ephem-wheel-cache-5okavkuq/wheels/cd/dd/f5/cbb5fc9293f3973d344fa2df78162e2754db51796569272f1f Successfully built mindyolo Installing collected packages: simsimd, typing-inspection, tqdm, stringzilla, pydantic-core, pybind11, numpy, annotated-types, scipy, pydantic, pycocotools, opencv-python-headless, opencv-python, albucore, albumentations, mindyolo Attempting uninstall: numpy Found existing installation: numpy 1.21.2 Uninstalling numpy-1.21.2: Successfully uninstalled numpy-1.21.2 Attempting uninstall: scipy Found existing installation: scipy 1.10.1 Uninstalling scipy-1.10.1: Successfully uninstalled scipy-1.10.1 ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. dataflow 0.0.1 requires jinja2, which is not installed. te 0.4.0 requires cloudpickle, which is not installed. te 0.4.0 requires ml-dtypes, which is not installed. mindspore 2.7.1 requires numpy<2.0.0,>=1.20.0, but you have numpy 2.2.6 which is incompatible. Successfully installed albucore-0.0.24 albumentations-2.0.8 annotated-types-0.7.0 mindyolo-0.5.0 numpy-2.2.6 opencv-python-4.12.0.88 opencv-python-headless-4.12.0.88 pybind11-3.0.1 pycocotools-2.0.10 pydantic-2.12.4 pydantic-core-2.41.5 scipy-1.15.3 simsimd-6.5.3 stringzilla-4.2.3 tqdm-4.67.1 typing-inspection-0.4.2

降级numpy后，opencv又版本冲突了

[ma-user mindyolo]$pip install numpy==1.26.4 --force-reinstall Looking in indexes: http://pip.modelarts.private.com:8888/repository/pypi/simple Collecting numpy==1.26.4 Downloading http://pip.modelarts.private.com:8888/repository/pypi/packages/numpy/1.26.4/numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 14.2/14.2 MB 137.5 MB/s 0:00:00 Installing collected packages: numpy Attempting uninstall: numpy Found existing installation: numpy 2.2.6 Uninstalling numpy-2.2.6: Successfully uninstalled numpy-2.2.6 ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. dataflow 0.0.1 requires jinja2, which is not installed. te 0.4.0 requires cloudpickle, which is not installed. te 0.4.0 requires ml-dtypes, which is not installed. opencv-python 4.12.0.88 requires numpy<2.3.0,>=2; python_version >= “3.9”, but you have numpy 1.26.4 which is incompatible. opencv-python-headless 4.12.0.88 requires numpy<2.3.0,>=2; python_version >= “3.9”, but you have numpy 1.26.4 which is incompatible. Successfully installed numpy-1.26.4