MMdetection配置mmtrack时出现问题

Question

MMtrack 安装出现问题，请友友们帮我解决一下

DEPRECATION: Loading egg at c:\users\hu186\.conda\envs\vit-adaper\lib\site-packages\fonttools-4.42.1-py3.11.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package install
ation..
DEPRECATION: Loading egg at c:\users\hu186\.conda\envs\vit-adaper\lib\site-packages\mmdet-3.1.0-py3.11.egg is deprecated. pip 23.3 will enforce this behaviour change. A possible replacement is to use pip for package installation
..
Collecting mmtrack
  Using cached mmtrack-0.14.0-py3-none-any.whl (400 kB)
Collecting attributee (from mmtrack)
  Using cached attributee-0.1.8.tar.gz (11 kB)
  Preparing metadata (setup.py) ... done
Collecting dotty-dict (from mmtrack)
  Using cached dotty_dict-1.3.1-py3-none-any.whl (7.0 kB)
Collecting lap (from mmtrack)
  Using cached lap-0.4.0.tar.gz (1.5 MB)
  Preparing metadata (setup.py) ... done
Requirement already satisfied: matplotlib in c:\users\hu186\.conda\envs\vit-adaper\lib\site-packages (from mmtrack) (3.7.2)
Collecting mmcls<1.0.0,>=0.16.0 (from mmtrack)
  Using cached mmcls-0.25.0-py2.py3-none-any.whl (648 kB)
Collecting motmetrics (from mmtrack)
  Using cached motmetrics-1.4.0-py3-none-any.whl (161 kB)
Requirement already satisfied: packaging in c:\users\hu186\appdata\roaming\python\python311\site-packages (from mmtrack) (23.1)
Collecting pandas<=1.3.5 (from mmtrack)
  Using cached pandas-1.3.5.tar.gz (4.7 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: pycocotools in c:\users\hu186\.conda\envs\vit-adaper\lib\site-packages (from mmtrack) (2.0.6)
Collecting scipy<=1.7.3 (from mmtrack)
  Using cached scipy-1.6.1.tar.gz (27.3 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... error
  error: subprocess-exited-with-error

  × Preparing metadata (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [153 lines of output]
      setup.py:461: UserWarning: Unrecognized setuptools command ('dist_info --egg-base C:\Users\hu186\AppData\Local\Temp\pip-modern-metadata-l9giqjd5'), proceeding with generating Cython sources and expanding templates
        warnings.warn("Unrecognized setuptools command ('{}'), proceeding with "
      setup.py:563: DeprecationWarning:
     
        `numpy.distutils` is deprecated since NumPy 1.23.0, as a result
        of the deprecation of `distutils` itself. It will be removed for
        Python >= 3.12. For older Python versions it will remain present.
        It is recommended to use `setuptools < 60.0` for those Python versions.
        For more details, see:
          https://numpy.org/devdocs/reference/distutils_status_migration.html
     
     
        from numpy.distutils.core import setup
      Running from SciPy source directory.
      INFO: lapack_opt_info:
      INFO: lapack_armpl_info:
      INFO: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
      INFO: customize MSVCCompiler
      INFO:   libraries armpl_lp64_mp not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO:   NOT AVAILABLE
      INFO:
      INFO: lapack_mkl_info:
      INFO:   libraries mkl_rt not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO:   NOT AVAILABLE
      INFO:
      INFO: lapack_ssl2_info:
      INFO:   libraries fjlapackexsve not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO:   NOT AVAILABLE
      INFO:
      INFO: openblas_lapack_info:
      INFO:   libraries openblas not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO: get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']'
      INFO: customize GnuFCompiler
      WARN: Could not locate executable g77
      WARN: Could not locate executable f77
      INFO: customize IntelVisualFCompiler
      WARN: Could not locate executable ifort
      WARN: Could not locate executable ifl
      INFO: customize AbsoftFCompiler
      WARN: Could not locate executable f90
      INFO: customize CompaqVisualFCompiler
      WARN: Could not locate executable DF
      INFO: customize IntelItaniumVisualFCompiler
      WARN: Could not locate executable efl
      INFO: customize Gnu95FCompiler
      WARN: Could not locate executable gfortran
      WARN: Could not locate executable f95
      INFO: customize G95FCompiler
      WARN: Could not locate executable g95
      INFO: customize IntelEM64VisualFCompiler
      INFO: customize IntelEM64TFCompiler
      WARN: Could not locate executable efort
      WARN: Could not locate executable efc
      INFO: customize PGroupFlangCompiler
      WARN: Could not locate executable flang
      WARN: don't know how to compile Fortran code on platform 'nt'
      INFO:   NOT AVAILABLE
      INFO:
      INFO: openblas_clapack_info:
      INFO:   libraries openblas,lapack not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO:   NOT AVAILABLE
      INFO:
      INFO: flame_info:
      INFO:   libraries flame not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO:   NOT AVAILABLE
      INFO:
      INFO: accelerate_info:
      INFO:   NOT AVAILABLE
      INFO:
      INFO: atlas_3_10_threads_info:
      INFO: Setting PTATLAS=ATLAS
      INFO:   libraries tatlas,tatlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\lib
      INFO:   libraries tatlas,tatlas not found in C:\
      INFO:   libraries tatlas,tatlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\libs
      INFO:   libraries tatlas,tatlas not found in B:\Anaconda\Library\lib
      INFO: <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
      INFO:   NOT AVAILABLE
      INFO:
      INFO: atlas_3_10_info:
      INFO:   libraries satlas,satlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\lib
      INFO:   libraries satlas,satlas not found in C:\
      INFO:   libraries satlas,satlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\libs
      INFO:   libraries satlas,satlas not found in B:\Anaconda\Library\lib
      INFO: <class 'numpy.distutils.system_info.atlas_3_10_info'>
      INFO:   NOT AVAILABLE
      INFO:
      INFO: atlas_threads_info:
      INFO: Setting PTATLAS=ATLAS
      INFO:   libraries ptf77blas,ptcblas,atlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\lib
      INFO:   libraries ptf77blas,ptcblas,atlas not found in C:\
      INFO:   libraries ptf77blas,ptcblas,atlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\libs
      INFO:   libraries ptf77blas,ptcblas,atlas not found in B:\Anaconda\Library\lib
      INFO: <class 'numpy.distutils.system_info.atlas_threads_info'>
      INFO:   NOT AVAILABLE
      INFO:
      INFO: atlas_info:
      INFO:   libraries f77blas,cblas,atlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\lib
      INFO:   libraries f77blas,cblas,atlas not found in C:\
      INFO:   libraries f77blas,cblas,atlas not found in C:\Users\hu186\.conda\envs\VIT-adaper\libs
      INFO:   libraries f77blas,cblas,atlas not found in B:\Anaconda\Library\lib
      INFO: <class 'numpy.distutils.system_info.atlas_info'>
      INFO:   NOT AVAILABLE
      INFO:
      INFO: lapack_info:
      INFO:   libraries lapack not found in ['C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\lib', 'C:\\', 'C:\\Users\\hu186\\.conda\\envs\\VIT-adaper\\libs', 'B:\\Anaconda\\Library\\lib']
      INFO:   NOT AVAILABLE
      INFO:
      C:\Users\hu186\AppData\Local\Temp\pip-build-env-3tzw_lrl\overlay\Lib\site-packages\numpy\distutils\system_info.py:1974: UserWarning:
          Lapack (http://www.netlib.org/lapack/) libraries not found.
          Directories to search for the libraries can be specified in the
          numpy/distutils/site.cfg file (section [lapack]) or by setting
          the LAPACK environment variable.
        return getattr(self, '_calc_info_{}'.format(name))()
      INFO: lapack_src_info:
      INFO:   NOT AVAILABLE
      INFO:
      C:\Users\hu186\AppData\Local\Temp\pip-build-env-3tzw_lrl\overlay\Lib\site-packages\numpy\distutils\system_info.py:1974: UserWarning:
          Lapack (http://www.netlib.org/lapack/) sources not found.
          Directories to search for the sources can be specified in the
          numpy/distutils/site.cfg file (section [lapack_src]) or by setting
          the LAPACK_SRC environment variable.
        return getattr(self, '_calc_info_{}'.format(name))()
      INFO:   NOT AVAILABLE
      INFO:
      Traceback (most recent call last):
        File "C:\Users\hu186\.conda\envs\VIT-adaper\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in <module>
          main()
        File "C:\Users\hu186\.conda\envs\VIT-adaper\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 335, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "C:\Users\hu186\.conda\envs\VIT-adaper\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 149, in prepare_metadata_for_build_wheel
          return hook(metadata_directory, config_settings)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "C:\Users\hu186\AppData\Local\Temp\pip-build-env-3tzw_lrl\overlay\Lib\site-packages\setuptools\build_meta.py", line 161, in prepare_metadata_for_build_wheel
          self.run_setup()
        File "C:\Users\hu186\AppData\Local\Temp\pip-build-env-3tzw_lrl\overlay\Lib\site-packages\setuptools\build_meta.py", line 254, in run_setup
          self).run_setup(setup_script=setup_script)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "C:\Users\hu186\AppData\Local\Temp\pip-build-env-3tzw_lrl\overlay\Lib\site-packages\setuptools\build_meta.py", line 145, in run_setup
          exec(compile(code, __file__, 'exec'), locals())
        File "setup.py", line 588, in <module>
          setup_package()
        File "setup.py", line 584, in setup_package
          setup(**metadata)
        File "C:\Users\hu186\AppData\Local\Temp\pip-build-env-3tzw_lrl\overlay\Lib\site-packages\numpy\distutils\core.py", line 135, in setup
          config = configuration()
                   ^^^^^^^^^^^^^^^
        File "setup.py", line 499, in configuration
          raise NotFoundError(msg)
      numpy.distutils.system_info.NotFoundError: No BLAS/LAPACK libraries found.
      To build Scipy from sources, BLAS & LAPACK libraries need to be installed.
      See site.cfg.example in the Scipy source directory and
      https://docs.scipy.org/doc/scipy/reference/building/index.html for details.
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

Answer 1

援引讯飞星湖哦：
从错误日志来看，问题出在pyproject.toml文件的生成过程中。有一些依赖库没有找到，例如numpy.distutils._msvccompiler、lapack_mkl_info、lapack_ssl2_info等。这可能是由于这些库在你的计算机上没有安装或者版本不匹配导致的。

首先，确保你已经安装了所有必要的依赖库。你可以尝试使用以下命令来安装缺失的库：

pip install numpy
pip install openblas
pip install mkl
pip install scipy

如果问题仍然存在，你可以尝试降低mmtrack和mmcls的版本，以确保它们与你的Python环境兼容。你可以在requirements.txt文件中指定特定版本的库，例如：

mmtrack==0.14.0
mmcls==0.25.0

然后再次运行pip install -r requirements.txt来安装指定版本的库。

希望这些建议能帮助你解决问题！

Answer 2

该回答通过自己思路及引用到GPTᴼᴾᴱᴺᴬᴵ搜索,得到内容具体如下：
从错误日志来看，问题出在numpy.distutils的安装过程中。有一些依赖库没有找到，例如lapack_mkl_info、lapack_ssl2_info、openblas_lapack_info等。这可能是因为这些库没有被正确安装或者版本不兼容。
首先，确保你已经安装了Microsoft Visual C++ 14.0。你可以从这里下载并安装：https://visualstudio.microsoft.com/visual-cpp-build-tools/
然后，尝试更新pip和setuptools到最新版本：

pip install --upgrade pip setuptools

接下来，尝试重新安装mmtrack：

pip install mmtrack

如果问题仍然存在，你可以尝试创建一个虚拟环境，然后在虚拟环境中安装mmtrack：

python -m venv myenv
myenv\Scripts\activate
pip install mmtrack

希望这些方法能帮助你解决问题。

---

如果以上回答对您有所帮助，点击一下采纳该答案～谢谢

Answer 3

引用 皆我百晓生 小程序回复内容作答：
根据您提供的错误信息，问题出现在安装 mmtrack 时无法生成元数据。错误提示指出缺少 BLAS/LAPACK 库，而这些库是构建 Scipy 所需。以下是一些可能的解决方案：

1. 确保您已安装了依赖的 BLAS/LAPACK 库。可以尝试使用 conda 或 pip 安装这些库。安装命令如下：

   conda install -c conda-forge mkl
   

   或者

   pip install mkl
   

2. 如果您已经安装了 BLAS/LAPACK 库，但仍然遇到此错误，请检查库的版本是否与 mmtrack 所需的版本兼容。您可以尝试升级或降级这些库的版本。

3. 请确保您的 Python 环境正常运行，没有任何其他错误或冲突。

4. 您还可以尝试通过使用 --no-cache-dir 选项来重新安装 mmtrack，这将避免使用缓存：

   pip install --no-cache-dir mmtrack
   

如果上述解决方案仍未能解决问题，请提供更多关于您的环境和安装过程的详细信息，以便我们更好地理解问题并为您提供更准确的帮助。

Answer 4

【相关推荐】

• 关于该问题，我找了一篇非常好的博客，你可以看看是否有帮助，链接：mmdetection 类别出错问题+训练+测试
• 除此之外, 这篇博客: mmdetection冻结网络参数训练中的 可能存在问题 部分也许能够解决你的问题, 你可以仔细阅读以下内容或跳转源博客中阅读:
  

  假使定义的runner属于epoch_based_runner，在下图的epoch_based_runner中可以查看到，epoch_based_runner中定义的train函数中调用了model的train方法，但是model的train方法一直是冻结网络参数，因此可以再定义一个train_unfrozen方法，设置结构的required_grad=True。
  
  
  并且在epoch_based_runner中的train方法中根据self.epoch传入epoch_runner中，选择调用model.train()还是model.train_unfrozen()。
  

如果你已经解决了该问题, 非常希望你能够分享一下解决方案, 写成博客, 将相关链接放在评论区, 以帮助更多的人 ^-^

Answer 5

【mmdetection 类别出错问题+训练+测试 - CSDN App】http://t.csdn.cn/AQivw

Answer 6

根据 MMTrack 的官方文档，MMTrack 推荐使用 Python 3.7 。
安装的参考链接

https://mmtracking.readthedocs.io/zh_CN/latest/install.html#id4
以下是基于 conda 安装 MMTracking 的脚本

conda create -n open-mmlab python=3.7 -y
conda activate open-mmlab

conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch -y

pip install git+https://gitee.com/git437730201/toolkit.git（可选）

# 安装最新版本的 mmcv
pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html

# 安装 mmdetection
pip install mmdet

# 安装 mmtracking
git clone https://gitee.com/git437730201/mmtracking.git
cd mmtracking
pip install -r requirements/build.txt
pip install -v -e .
pip install git+https://gitee.com/git437730201/TrackEval.git
pip install git+https://gitee.com/git437730201/lvis-api.git
pip install git+https://gitee.com/git437730201/tao.git

Answer 7

使用 Conda 安装 BLAS/LAPACK：使用 Conda 包管理器安装 BLAS 和 LAPACK 库，然后再尝试安装 mmtrack。可以使用以下命令来安装 BLAS 和 LAPACK：

conda install -c anaconda blas
conda install -c anaconda lapack

Answer 8

目测缺包吧

Answer 9

OpenMMLab MMTracking目标跟踪环境搭建（一）
可以参考下

OpenMMLab MMTracking目标跟踪环境搭建（一）_qq_41627642的博客-CSDN博客 mmcv 仅在 PyTorch 1.x.0 上编译，因为兼容性通常在 1.x.0 和 1.x.1 之间。如果你的PyTorch版本是1.x.1，你可以安装用PyTorch 1.x.0编译的mmcv，通常效果很好。b. 如果您想使用opencv-python-headless而不是opencv-python，可以在安装 MMCV 之前安装它。按照上述说明，MMTracking 安装在devmode 下，任何本地对代码的修改都会生效，无需重新安装。安装构建需求，然后安装MMTracking。_mmtrack https://blog.csdn.net/qq_41627642/article/details/131708688

MMDetection环境配置与使用_彭祥的技术博客_51CTO博客 MMDetection环境配置与使用，这里我替换了数据集后，运行报错 https://blog.51cto.com/u_15876949/6452962

Answer 10

结合GPT给出回答如下请题主参考
首先，需要先确认您的操作系统和Python版本是否满足MMdetection和MMtrack的要求。建议使用Ubuntu 16.04或18.04，并使用Python 3.6或更高版本。

其次，建议使用conda或虚拟环境来安装MMdetection和MMtrack，并按照官方文档中的指南进行安装，并进行必要的配置。

如有问题，可以提供更具体的错误信息和操作步骤，以便我们更好地帮助您解决问题。

Answer 11

该回答引用ChatGPT，希望对题主有所帮助，如有帮助，还望采纳。

---

这个问题是由于 scipy 库安装时找不到 BLAS/LAPACK 库导致的。尝试以下解决方案：

1. 安装 BLAS/LAPACK 库

你可以安装预编译的库，如 OpenBLAS，或者使用软件包管理器安装库。例如，如果你使用的是 Ubuntu 操作系统，则可以使用以下命令安装：

sudo apt-get install libblas-dev liblapack-dev

如果你使用的是 Windows 系统，则可以在以下网站上下载适用于你系统的预编译库：

• OpenBLAS：http://www.openblas.net/
• Intel MKL：https://software.intel.com/content/www/us/en/develop/tools/math-kernel-library.html

1. 在安装 scipy 时指定 BLAS/LAPACK 库的位置

如果已经安装了 BLAS/LAPACK 库，你可以在安装 scipy 时指定库的位置。例如，可以使用以下命令安装：

pip install scipy --global-option=build_ext --global-option="-L/path/to/blas/lib -L/path/to/lapack/lib" --global-option="-I/path/to/blas/include -I/path/to/lapack/include"

请确保将 /path/to/blas/lib 替换为实际的 BLAS 库路径，将 /path/to/lapack/lib 替换为实际的 LAPACK 库路径，将 /path/to/blas/include 替换为实际的 BLAS 头文件路径，将 /path/to/lapack/include 替换为实际的 LAPACK 头文件路径。

Answer 12

确保你已经安装了所有必要的依赖库

Answer 13

参考gpt
根据您提供的信息，看起来您在安装mmtrack时遇到了一些问题。根据错误消息，可能是由于某些依赖项的版本冲突或安装过程中出现错误导致的。

以下是一些可能的解决方法：

1. 更新pip：首先尝试更新pip工具到最新版本，可以使用以下命令进行更新：

   pip install --upgrade pip
   

2. 清理缓存：尝试清理pip的缓存，并重新安装mmtrack：

   pip cache purge
   pip install mmtrack
   

3. 显式安装依赖项：尝试单独安装mmtrack的依赖项，可以使用以下命令逐个安装：

   pip install attributee
   pip install dotty-dict
   pip install lap
   pip install mmcls<1.0.0,>=0.16.0
   pip install motmetrics
   pip install pandas<=1.3.5
   pip install scipy<=1.7.3
   

   如果依赖项安装失败，请查看错误消息并尝试解决依赖项的版本冲突。

4. 创建新的虚拟环境：如果上述方法仍然无效，可以尝试创建一个全新的虚拟环境，并在其中安装mmtrack。这将确保环境的干净和隔离。

   conda create -n mmtrack_env python=3.7
   conda activate mmtrack_env
   pip install mmtrack
   

   这将创建一个名为"mmtrack_env"的新虚拟环境，并在其中安装mmtrack。

Answer 14

先按照好依赖库环境，再安装

Answer 15

依赖环境没能安装好

Answer 16

mmtrack的包依赖版本和你目前的环境不搭配