袁博特

Ubuntu16.04部署BEVformer 实时记录

一配置依赖

a. Create a conda virtual environment and activate it.

conda create -n open-mmlab python=3.8 -y
conda activate open-mmlab

b. Install PyTorch and torchvision following the official instructions.

pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
# Recommended torch>=1.9

安装torch相关内容时报错
那就再安装scipy

pip install scipy

Looking in indexes: http://pypi.douban.com/simple
Collecting scipy
  Downloading http://pypi.doubanio.com/packages/69/f0/fb07a9548e48b687b8bf2fa81d71aba9cfc548d365046ca1c791e24db99d/scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
     |████████████████████████████████| 34.5 MB 587 kB/s 
Requirement already satisfied: numpy<1.27.0,>=1.19.5 in /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages (from scipy) (1.24.3)
Installing collected packages: scipy
Successfully installed scipy-1.10.1
WARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.
You should consider upgrading via the '/home/jjuv/anaconda3/envs/open-mmlab/bin/python -m pip install --upgrade pip' command.

c. Install gcc>=5 in conda env (optional).

没有报错

conda install -c omgarcia gcc-6 # gcc-6.2

c. Install mmcv-full.

pip install mmcv-full==1.4.0
#  pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html

安装mmcv-full报错

(open-mmlab) jjuv@jjuv:~/Documents/yzh/BEVFormer$ pip install mmcv-full==1.4.0
Looking in indexes: http://pypi.douban.com/simple
Collecting mmcv-full==1.4.0
  Downloading http://pypi.doubanio.com/packages/48/ba/23bbe698dcd353f7684e1301f14290c9000ba126e43a64799aa86b4a6b92/mmcv-full-1.4.0.tar.gz (403 kB)
     |████████████████████████████████| 403 kB 789 kB/s 
    ERROR: Command errored out with exit status 1:
     command: /home/jjuv/anaconda3/envs/open-mmlab/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u0atmgfg/mmcv-full_9110190bfbf64ecba950553cfd1d1939/setup.py'"'"'; __file__='"'"'/tmp/pip-install-u0atmgfg/mmcv-full_9110190bfbf64ecba950553cfd1d1939/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-a0gb3vka
         cwd: /tmp/pip-install-u0atmgfg/mmcv-full_9110190bfbf64ecba950553cfd1d1939/
    Complete output (14 lines):
    /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/cuda/__init__.py:52: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at  ../c10/cuda/CUDAFunctions.cpp:115.)
      return torch._C._cuda_getDeviceCount() > 0
    Traceback (most recent call last):
      File "", line 1, in <module>
      File "/tmp/pip-install-u0atmgfg/mmcv-full_9110190bfbf64ecba950553cfd1d1939/setup.py", line 380, in <module>
        ext_modules=get_extensions(),
      File "/tmp/pip-install-u0atmgfg/mmcv-full_9110190bfbf64ecba950553cfd1d1939/setup.py", line 219, in get_extensions
        import psutil
      File "/home/jjuv/anaconda3/lib/python3.7/site-packages/psutil/__init__.py", line 96, in <module>
        from . import _pslinux as _psplatform
      File "/home/jjuv/anaconda3/lib/python3.7/site-packages/psutil/_pslinux.py", line 26, in <module>
        from . import _psutil_linux as cext
    ImportError: cannot import name '_psutil_linux' from partially initialized module 'psutil' (most likely due to a circular import) (/home/jjuv/anaconda3/lib/python3.7/site-packages/psutil/__init__.py)
    No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
    ----------------------------------------
WARNING: Discarding http://pypi.doubanio.com/packages/48/ba/23bbe698dcd353f7684e1301f14290c9000ba126e43a64799aa86b4a6b92/mmcv-full-1.4.0.tar.gz#sha256=fdd48a399c7ec81fe9db761cf4c1c7616ed98c476b4a4c0d191899435b5f90b1 (from http://pypi.doubanio.com/simple/mmcv-full/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
ERROR: Could not find a version that satisfies the requirement mmcv-full==1.4.0 (from versions: 1.0rc0, 1.0rc2, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.3.0, 1.3.1, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.3.8, 1.3.9, 1.3.10, 1.3.11, 1.3.12, 1.3.13, 1.3.14, 1.3.15, 1.3.16, 1.3.17, 1.3.18, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1)
ERROR: No matching distribution found for mmcv-full==1.4.0
WARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.
You should consider upgrading via the '/home/jjuv/anaconda3/envs/open-mmlab/bin/python -m pip install --upgrade pip' command.

我就去mmcv的github上面找，结果在v1.4.0这里找到了下面这句话

pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.10.0/index.html

我安装后，显示

Looking in indexes: http://pypi.douban.com/simple
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.10.0/index.html
Collecting mmcv-full
  Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.10.0/mmcv_full-1.7.1-cp38-cp38-manylinux1_x86_64.whl (47.7 MB)
     |████████████████████████████████| 47.7 MB 1.5 MB/s 
Requirement already satisfied: numpy in /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages (from mmcv-full) (1.24.3)
Collecting addict
  Downloading http://pypi.doubanio.com/packages/6a/00/b08f23b7d7e1e14ce01419a467b583edbb93c6cdb8654e54a9cc579cd61f/addict-2.4.0-py3-none-any.whl (3.8 kB)
Requirement already satisfied: yapf in /home/jjuv/anaconda3/lib/python3.7/site-packages (from mmcv-full) (0.28.0)
Requirement already satisfied: pyyaml in /home/jjuv/anaconda3/lib/python3.7/site-packages (from mmcv-full) (5.3)
Requirement already satisfied: packaging in /home/jjuv/anaconda3/lib/python3.7/site-packages (from mmcv-full) (20.1)
Requirement already satisfied: Pillow in /home/jjuv/anaconda3/lib/python3.7/site-packages (from mmcv-full) (7.0.0)
Requirement already satisfied: opencv-python>=3 in /home/jjuv/anaconda3/lib/python3.7/site-packages (from mmcv-full) (4.5.5.64)
Requirement already satisfied: six in /home/jjuv/anaconda3/lib/python3.7/site-packages (from packaging->mmcv-full) (1.14.0)
Requirement already satisfied: pyparsing>=2.0.2 in /home/jjuv/anaconda3/lib/python3.7/site-packages (from packaging->mmcv-full) (2.4.6)
Installing collected packages: addict, mmcv-full
Successfully installed addict-2.4.0 mmcv-full-1.7.1
WARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.
You should consider upgrading via the '/home/jjuv/anaconda3/envs/open-mmlab/bin/python -m pip install --upgrade pip' command.

结果安装了1.7.1这个版本，先向后走吧，有问题的话，再来回溯。

d. Install mmdet and mmseg.

这一步的安装没有问题

pip install mmdet==2.14.0
pip install mmsegmentation==0.14.1

e. Install mmdet3d from source code.

git clone https://github.com/open-mmlab/mmdetection3d.git
cd mmdetection3d
git checkout v0.17.1 # Other versions may not be compatible.
python setup.py install

安装mmdetection3d

git clone https://github.com/open-mmlab/mmdetection3d.git
cd mmdetection3d
pip install -v -e .

报错

sing pip 21.2.2 from /home/jjuv/anaconda3/lib/python3.7/site-packages/pip (python 3.8)
Looking in indexes: http://pypi.douban.com/simple
Obtaining file:///home/jjuv/Documents/yzh/mmdetection3d
    Running command python setup.py egg_info
    /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/numpy/__init__.py:139: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
      from . import _distributor_init
    Traceback (most recent call last):
      File "", line 1, in <module>
      File "/home/jjuv/Documents/yzh/mmdetection3d/setup.py", line 10, in <module>
        import torch
      File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/__init__.py", line 605, in <module>
        _C._initExtension(manager_path())
      File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/cuda/__init__.py", line 607, in <module>
        from . import amp
      File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/cuda/amp/__init__.py", line 1, in <module>
        from .autocast_mode import autocast, custom_fwd, custom_bwd  # noqa: F401
      File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/cuda/amp/autocast_mode.py", line 6, in <module>
        import numpy as np
      File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/numpy/__init__.py", line 434, in <module>
        import mkl
      File "/home/jjuv/anaconda3/lib/python3.7/site-packages/mkl/__init__.py", line 49, in <module>
        from . import _mklinit
    ImportError: cannot import name '_mklinit' from partially initialized module 'mkl' (most likely due to a circular import) (/home/jjuv/anaconda3/lib/python3.7/site-packages/mkl/__init__.py)

numpy安装报错

ERROR: Cannot uninstall numpy 1.24.3, RECORD file not found. You might be able to recover from this via: 'pip install --force-reinstall --no-deps numpy==1.24.3'.

直接找到numpy的位置，删除后重新安装即可

python安装包报错“No such file or directory: ‘·····\numpy-1.21.2.dist-info\METADATA‘的解决办法

错误2

解决ERROR: Cannot uninstall ‘PyYAML‘. It is a distutils installed project and thus we cannot accuratel
报错

ERROR: Cannot uninstall 'PyYAML'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

解决

pip install --upgrade nni --ignore-installed

错误3

还是报错

Attempting uninstall: pyyaml
    Found existing installation: PyYAML 5.3
ERROR: Cannot uninstall 'PyYAML'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

那就直接找到删除

pip show PyYAML

确定位置后，直接手动删除文件

pip show pyyaml
Name: PyYAML
Version: 5.3
Summary: YAML parser and emitter for Python
Home-page: https://github.com/yaml/pyyaml
Author: Kirill Simonov
Author-email: [email protected]
License: MIT
Location: /home/jjuv/anaconda3/lib/python3.7/site-packages
Requires: 
Required-by: rospkg, rosdistro, rosdep, distributed, conda-verify, conda-build, bokeh, anaconda-client, responses, nni, model-index, mmcv-full

我的文件只有一个

依然报错

执行

pip install -v -e .

依然报错

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.
conda 4.12.0 requires ruamel_yaml_conda>=0.11.14, which is not installed.

我就自己安装ruamel_yaml_conda

pip install ruamel_yaml_conda

还是报错

Looking in indexes: http://pypi.douban.com/simple
Collecting ruamel_yaml_conda
  Downloading http://pypi.doubanio.com/packages/94/ef/31bfa8456e01ff13d8d98bdbc80ab2e592c830e52ccaff62c35d5f890357/ruamel_yaml_conda-0.15.80.tar.gz (202 kB)
     |████████████████████████████████| 202 kB 269 kB/s 
    ERROR: Command errored out with exit status 1:
     command: /home/jjuv/anaconda3/envs/open-mmlab/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/setup.py'"'"'; __file__='"'"'/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-byq0ngmp
         cwd: /tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/
    Complete output (18 lines):
    Traceback (most recent call last):
      File "/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/ruamel_yaml/__init__.py", line 21, in <module>
        from .main import *                               # NOQA
      File "/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/ruamel_yaml/main.py", line 12, in <module>
        import ruamel.yaml
    ModuleNotFoundError: No module named 'ruamel'
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "", line 1, in <module>
      File "/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/setup.py", line 14, in <module>
        import ruamel_yaml  # NOQA
      File "/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/ruamel_yaml/__init__.py", line 23, in <module>
        from ruamel_yaml.main import *                               # NOQA
      File "/tmp/pip-install-0o3mr55f/ruamel-yaml-conda_eace7f47f0404d318cc86c9b202f1eb6/ruamel_yaml/main.py", line 12, in <module>
        import ruamel.yaml
    ModuleNotFoundError: No module named 'ruamel'
    ----------------------------------------
WARNING: Discarding http://pypi.doubanio.com/packages/94/ef/31bfa8456e01ff13d8d98bdbc80ab2e592c830e52ccaff62c35d5f890357/ruamel_yaml_conda-0.15.80.tar.gz#sha256=d0d3f33dfc40085e46de6729b64c2792755504a899ef1ab2e55233f882df9566 (from http://pypi.doubanio.com/simple/ruamel-yaml-conda/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
ERROR: Could not find a version that satisfies the requirement ruamel_yaml_conda (from versions: 0.15.80)
ERROR: No matching distribution found for ruamel_yaml_conda
WARNING: You are using pip version 22.0.4; however, version 23.1.2 is available.
You should consider upgrading via the '/home/jjuv/anaconda3/envs/open-mmlab/bin/python -m pip install --upgrade pip' command.

意思是找不到合适的版本的ruamel_yaml_conda
我又找了一下，发现网上很多针对ruamel_yaml_conda的都是对ruamel_yaml进行操作。
所以，我查看了一下ruamel_yaml包

pip show ruamel_yaml

发现使用的是python3.7版本的

Name: ruamel_yaml
Version: 0.15.87
Summary: ruamel_yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order
Home-page: UNKNOWN
Author: Anthon van der Neut
Author-email: [email protected]
License: UNKNOWN
Location: /home/jjuv/anaconda3/lib/python3.7/site-packages
Requires: 
Required-by: anaconda-project

这个仍然是没有办法通过

pip uninstall ruamel_yaml

删除。
所以只能够手动删除，找到位置，直接删除。（记得拷贝一份啊啊啊啊啊啊）
然后重新进行安装

pip install ruamel_yaml

再次进行尝试

pip install -v -e .

发现，成功了

Successfully installed mmdet3d

忽然发现应该安装指定版本的mmdetection3d

mmdetection3d-v0.17.1的github下载地址
但是还是报错

错误1

打开新的终端时，发现前面没有了（base），有点不详的预感。
启动虚拟环境

conda activate open-mmlab

报错

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 19, in get_yaml
    import ruamel_yaml as yaml
ModuleNotFoundError: No module named 'ruamel_yaml'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 22, in get_yaml
    import ruamel.yaml as yaml
ModuleNotFoundError: No module named 'ruamel'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/cli/main.py", line 142, in main
    from ..activate import main as activator_main
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/activate.py", line 22, in <module>
    from .base.context import ROOT_ENV_NAME, context, locate_prefix_by_name
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/base/context.py", line 32, in <module>
    from ..common.configuration import (Configuration, ConfigurationLoadError, MapParameter,
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/configuration.py", line 37, in <module>
    from .serialize import yaml_round_trip_load
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 30, in <module>
    yaml = get_yaml()
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/auxlib/decorators.py", line 59, in _memoized_func
    result = func(*args, **kwargs)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 24, in get_yaml
    raise ImportError("No yaml library available.\n"
ImportError: No yaml library available.
To proceed, conda install ruamel_yaml

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 19, in get_yaml
    import ruamel_yaml as yaml
ModuleNotFoundError: No module named 'ruamel_yaml'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 22, in get_yaml
    import ruamel.yaml as yaml
ModuleNotFoundError: No module named 'ruamel'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/bin/conda", line 13, in <module>
    sys.exit(main())
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/cli/main.py", line 152, in main
    return ExceptionHandler().handle_exception(exc_val, exc_tb)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/exceptions.py", line 1129, in handle_exception
    return self.handle_unexpected_exception(exc_val, exc_tb)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/exceptions.py", line 1140, in handle_unexpected_exception
    self.print_unexpected_error_report(error_report)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/exceptions.py", line 1195, in print_unexpected_error_report
    from .base.context import context
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/base/context.py", line 32, in <module>
    from ..common.configuration import (Configuration, ConfigurationLoadError, MapParameter,
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/configuration.py", line 37, in <module>
    from .serialize import yaml_round_trip_load
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 30, in <module>
    yaml = get_yaml()
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/auxlib/decorators.py", line 59, in _memoized_func
    result = func(*args, **kwargs)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/conda/common/serialize.py", line 24, in get_yaml
    raise ImportError("No yaml library available.\n"
ImportError: No yaml library available.
To proceed, conda install ruamel_yaml

通过观察可以发现，肯定是我们强行删除ruamel_yaml所带来的后遗症。
问题不大，再把原来的ruamel_yaml的文件拷贝过来就好了（还好我原来删除之前拷贝了一份）。
然后重新打开新的终端，发现问题消失了。
进入虚拟环境后，查看ruamel_yaml的位置也是新的python3.8的位置，没有再用原来python3.7的位置。（这也算是个小技巧吧）

还是没有成功，我就先往下面走了

还是不太行，我又回来了

执行

pip install -v -e .

报错

ERROR: Command errored out with exit status 1: /home/jjuv/anaconda3/envs/open-mmlab/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/home/jjuv/Documents/yzh/mmdetection3d/setup.py'"'"'; __file__='"'"'/home/jjuv/Documents/yzh/mmdetection3d/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' develop --no-deps Check the logs for full command output.

不太会解决，我又试了一下另一个安装命令

python setup.py develop

但是还是有问题，不过他没有红色的报错。我找了很久，在里面找到了一个关键的话，/bin/sh: 1: /usr/local/cuda/bin/nvcc: not found。
所以，我就去看，发现自己的cuda使用的是9.0，而且里面没有cudnn，所以，就把它重新安装上。

running develop
/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/command/develop.py:40: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!

        ********************************************************************************
        Please avoid running ``setup.py`` and ``easy_install``.
        Instead, use pypa/build, pypa/installer, pypa/build or
        other standards-based tools.

        See https://github.com/pypa/setuptools/issues/917 for details.
        ********************************************************************************

!!
  easy_install.initialize_options(self)
/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!

        ********************************************************************************
        Please avoid running ``setup.py`` directly.
        Instead, use pypa/build, pypa/installer, pypa/build or
        other standards-based tools.

        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
        ********************************************************************************

!!
  self.initialize_options()
running egg_info
writing mmdet3d.egg-info/PKG-INFO
writing dependency_links to mmdet3d.egg-info/dependency_links.txt
writing requirements to mmdet3d.egg-info/requires.txt
writing top-level names to mmdet3d.egg-info/top_level.txt
reading manifest file 'mmdet3d.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.cpp' under directory 'mmdet3d/.mim/ops'
warning: no files found matching '*.cu' under directory 'mmdet3d/.mim/ops'
warning: no files found matching '*.h' under directory 'mmdet3d/.mim/ops'
warning: no files found matching '*.cc' under directory 'mmdet3d/.mim/ops'
adding license file 'LICENSE'
writing manifest file 'mmdet3d.egg-info/SOURCES.txt'
running build_ext
building 'mmdet3d.ops.spconv.sparse_conv_ext' extension
/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py:284: UserWarning: 

                               !! WARNING !!

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Your compiler (c++) is not compatible with the compiler Pytorch was
built with for this platform, which is g++ on linux. Please
use g++ to to compile your extension. Alternatively, you may
compile PyTorch from source using c++, and then you can also use
c++ to compile your extension.

See https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md for help
with compiling PyTorch from source.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

                              !! WARNING !!

  warnings.warn(WRONG_COMPILER_WARNING.format(
Emitting ninja build file /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/7] c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/all.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/all.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/all.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
[2/7] c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/indice.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/indice.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/indice.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
[3/7] /usr/local/cuda/bin/nvcc  -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/indice_cuda.cu -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/indice_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -w -std=c++14 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61
[4/7] c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/maxpool.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/maxpool.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/maxpool.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
[5/7] /usr/local/cuda/bin/nvcc  -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/maxpool_cuda.cu -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/maxpool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -w -std=c++14 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61
[6/7] c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/reordering.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/reordering.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/reordering.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
[7/7] /usr/local/cuda/bin/nvcc  -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/reordering_cuda.cu -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/reordering_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -w -std=c++14 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61
FAILED: /usr/local/cuda/bin/nvcc  -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/indice_cuda.cu -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/indice_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -w -std=c++14 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61
/bin/sh: 1: /usr/local/cuda/bin/nvcc: not found
FAILED: /usr/local/cuda/bin/nvcc  -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/maxpool_cuda.cu -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/maxpool_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -w -std=c++14 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61
/bin/sh: 1: /usr/local/cuda/bin/nvcc: not found
FAILED: /usr/local/cuda/bin/nvcc  -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/reordering_cuda.cu -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/reordering_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -w -std=c++14 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61
/bin/sh: 1: /usr/local/cuda/bin/nvcc: not found
FAILED: c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/all.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/all.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/all.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/all.cc:15:30: fatal error: cuda_runtime_api.h: No such file or directory
 #include 
                              ^
compilation terminated.
FAILED: c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/maxpool.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/maxpool.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/maxpool.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include/spconv/maxpool.h:17:0,
                 from /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/maxpool.cc:15:
/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include/tensorview/tensorview.h:16:30: fatal error: cuda_runtime_api.h: No such file or directory
 #include 
                              ^
compilation terminated.
FAILED: c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/indice.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/indice.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/indice.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include/spconv/geometry.h:18:0,
                 from /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/indice.cc:15:
/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include/tensorview/tensorview.h:16:30: fatal error: cuda_runtime_api.h: No such file or directory
 #include 
                              ^
compilation terminated.
FAILED: c++ -MMD -MF /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/reordering.o.d -pthread -B /home/jjuv/anaconda3/envs/open-mmlab/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DWITH_CUDA -I/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/TH -I/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/jjuv/anaconda3/envs/open-mmlab/include/python3.8 -c -c /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/reordering.cc -o /home/jjuv/Documents/yzh/mmdetection3d/build/temp.linux-x86_64-cpython-38/mmdet3d/ops/spconv/src/reordering.o -w -std=c++14 -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=sparse_conv_ext -D_GLIBCXX_USE_CXX11_ABI=0
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include/spconv/reordering.h:17:0,
                 from /home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/src/reordering.cc:15:
/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/ops/spconv/include/tensorview/tensorview.h:16:30: fatal error: cuda_runtime_api.h: No such file or directory
 #include 
                              ^
compilation terminated.
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1666, in _run_ninja_build
    subprocess.run(
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/subprocess.py", line 516, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "setup.py", line 192, in <module>
    setup(
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/__init__.py", line 107, in setup
    return distutils.core.setup(**attrs)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 185, in setup
    return run_commands(dist)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 201, in run_commands
    dist.run_commands()
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands
    self.run_command(cmd)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/dist.py", line 1244, in run_command
    super().run_command(command)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
    cmd_obj.run()
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/command/develop.py", line 34, in run
    self.install_for_development()
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/command/develop.py", line 115, in install_for_development
    self.run_command('build_ext')
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/cmd.py", line 318, in run_command
    self.distribution.run_command(command)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/dist.py", line 1244, in run_command
    super().run_command(command)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
    cmd_obj.run()
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 84, in run
    _build_ext.run(self)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/Cython/Distutils/old_build_ext.py", line 186, in run
    _build_ext.build_ext.run(self)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 345, in run
    self.build_extensions()
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 709, in build_extensions
    build_ext.build_extensions(self)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/Cython/Distutils/old_build_ext.py", line 195, in build_extensions
    _build_ext.build_ext.build_extensions(self)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 467, in build_extensions
    self._build_extensions_serial()
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 493, in _build_extensions_serial
    self.build_extension(ext)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 246, in build_extension
    _build_ext.build_extension(self, ext)
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 548, in build_extension
    objects = self.compiler.compile(
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 530, in unix_wrap_ninja_compile
    _write_ninja_file_and_compile_objects(
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1355, in _write_ninja_file_and_compile_objects
    _run_ninja_build(
  File "/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1682, in _run_ninja_build
    raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension

搞定了cudnn后，再次安装

发现还是报错，是由于pandas需要的numpy版本太低了。

error: numpy 1.19.5 is installed but numpy>=1.20.3; python_version < "3.10" is required by {'pandas'}

于是我重新安装一个合适版本的numpy。
先查看numpy版本

pip show numpy

报错，原来是因为里面有两个numpy，但是默认的应该还是numpy 1.19.5，于是直接删除掉numpy-1.24.3.dist-info文件夹就行了。

WARNING: No metadata found in /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages
WARNING: No metadata found in /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages
ERROR: Exception:
Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 3021, in _dep_map
    return self.__dep_map
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 2815, in __getattr__
    raise AttributeError(attr)
AttributeError: _DistInfoDistribution__dep_map

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 3012, in _parsed_pkg_info
    return self._pkg_info
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 2815, in __getattr__
    raise AttributeError(attr)
AttributeError: _pkg_info

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_internal/cli/base_command.py", line 173, in _main
    status = self.run(options, args)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_internal/commands/show.py", line 45, in run
    if not print_results(
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_internal/commands/show.py", line 202, in print_results
    for i, dist in enumerate(distributions):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_internal/commands/show.py", line 178, in search_packages_info
    requires=[req.name for req in dist.iter_dependencies()],
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_internal/metadata/pkg_resources.py", line 101, in iter_dependencies
    return self._dist.requires(extras)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 2736, in requires
    dm = self._dep_map
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 3023, in _dep_map
    self.__dep_map = self._compute_dependencies()
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 3032, in _compute_dependencies
    for req in self._parsed_pkg_info.get_all('Requires-Dist') or []:
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 3014, in _parsed_pkg_info
    metadata = self.get_metadata(self.PKG_INFO)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 1420, in get_metadata
    value = self._get(path)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/pip/_vendor/pkg_resources/__init__.py", line 1616, in _get
    with open(path, 'rb') as stream:
FileNotFoundError: [Errno 2] No such file or directory: '/home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/numpy-1.24.3.dist-info/METADATA'

重新安装一个，但是又报错。原来是因为mmdet3d 0.17.1需要numpy版本小于1.20.0。这不就和前面的pandas冲突了吗！
而mmdet3d 0.17.1是BEVformer指定要求的，所以要以他为主。
于是需要重新安装适合版本的pandas。

mmdet3d 0.17.1 requires numpy<1.20.0, but you have numpy 1.24.3 which is incompatible.

经过一番挣扎，我找到了合适版本的numpy和pandas
pandas的官网版本挑选
可以从官网上面寻找想要安装的版本，可以一个一个的试。

pip install pandas==1.4.4
pip install numpy==1.19.5

搞定库了，继续进行安装

python setup.py develop

成功了

Finished processing dependencies for mmdet3d==0.17.1

f. Install timm.

pip install timm

g. Clone BEVFormer.

git clone https://github.com/fundamentalvision/BEVFormer.git

h. Prepare pretrained models.

cd bevformer
mkdir ckpts

cd ckpts & wget https://github.com/zhiqi-li/storage/releases/download/v1.0/r101_dcn_fcos3d_pretrain.pth

note: this pretrained model is the same model used in detr3d

二准备数据（prepare_dataset.md）

Prepare nuScenes data

我使用的是nuScenes v1.0-mini。
We genetate custom annotation files which are different from mmdet3d’s

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0-mini --canbus ./data

报错1

ImportError: /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mmcv/_ext.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZNK2at10TensorBase8data_ptrIdEEPT_v

看了一下，应该是mmcv的问题
查看一下mmcv的位置和版本

pip show mmcv

发现没有mmcv
找到原来的安装的位置，发现安装的是mmcv-full
查看一下mmcv-full的版本

pip show mmcv-full

存在

Name: mmcv-full
Version: 1.7.1
Summary: OpenMMLab Computer Vision Foundation
Home-page: https://github.com/open-mmlab/mmcv
Author: MMCV Contributors
Author-email: [email protected]
License: 
Location: /home/jjuv/anaconda3/envs/open-mmlab/lib/python3.8/site-packages
Requires: addict, Pillow, opencv-python, numpy, packaging, yapf, pyyaml
Required-by:

但是呢？和原来安装时候的要求不符
安装的时候说的是

pip install mmcv-full==1.4.0

现在变成了1.7.1
于是卸载重新安装

pip uninstall mmcv-full

这一次使用install.md中注释的内容进行安装。

pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html

搞定了mmdet3d重新回来，继续准备数据

conda activate open-mmlab

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0-mini --canbus ./data

还是报错

ImportError: cannot import name 'ft2font' from partially initialized module 'matplotlib' (most likely due to a circular import) (/home/jjuv/anaconda3/lib/python3.7/site-packages/matplotlib/__init__.py)

看来是matplotlib库的问题，可以看出这个库是在python3.7下面，那就更新一下。
但是直接安装matplotlib，他要求numpy的版本过高了。只能是选择安装指定版本的matplotlib了。

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.
nuscenes-devkit 1.1.10 requires matplotlib<=3.5.2, but you have matplotlib 3.7.1 which is incompatible.
mmdet3d 0.17.1 requires numpy<1.20.0, but you have numpy 1.24.3 which is incompatible.

matplotlib的官网版本挑选
继续寻找合适版本的matplotlib。
我就根据nuscenes-devkit的要求，直接安装matplotlib3.5.2。

pip install matplotlib==3.5.2

但是他偷偷的又把numpy换成了numpy-1.24.3

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.
mmdet3d 0.17.1 requires numpy<1.20.0, but you have numpy 1.24.3 which is incompatible.

所以还需要重新安装numpy

pip install numpy==1.19.5

搞定了matplotlib，那就继续准备数据

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0-mini --canbus ./data

还是报错

ModuleNotFoundError: No module named 'kiwisolver'

kiwisolver也是一个库
那就查看一下，发现已经有了，不过是python3.7的，那就重新安装一个吧。

搞定了kiwisolver，继续准备数据

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0-mini --canbus ./data

还是报错
大体的意思就是，numba库的问题。
可以查看一下，然后选择重装。

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typeconv/typeconv.py", line 6, in <module>
    from . import _typeconv
ImportError: cannot import name '_typeconv' from 'numba.typeconv' (/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typeconv/__init__.py)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "tools/create_data.py", line 6, in <module>
    from data_converter.create_gt_database import create_groundtruth_database
  File "/home/jjuv/Documents/yzh/BEVFormer/tools/data_converter/create_gt_database.py", line 11, in <module>
    from mmdet3d.core.bbox import box_np_ops as box_np_ops
  File "/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/core/__init__.py", line 4, in <module>
    from .evaluation import *  # noqa: F401, F403
  File "/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/core/evaluation/__init__.py", line 3, in <module>
    from .kitti_utils import kitti_eval, kitti_eval_coco_style
  File "/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/core/evaluation/kitti_utils/__init__.py", line 2, in <module>
    from .eval import kitti_eval, kitti_eval_coco_style
  File "/home/jjuv/Documents/yzh/mmdetection3d/mmdet3d/core/evaluation/kitti_utils/eval.py", line 4, in <module>
    import numba
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/__init__.py", line 18, in <module>
    from .special import (
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/special.py", line 7, in <module>
    from .typing.typeof import typeof
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typing/__init__.py", line 2, in <module>
    from .context import BaseContext, Context
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typing/context.py", line 12, in <module>
    from numba.typeconv import Conversion, rules
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typeconv/rules.py", line 3, in <module>
    from .typeconv import TypeManager, TypeCastingRules
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typeconv/typeconv.py", line 19, in <module>
    raise ImportError(msg % (url, reportme, str(e), sys.executable))
ImportError: Numba could not be imported.
If you are seeing this message and are undertaking Numba development work, you may need to re-run:

python setup.py build_ext --inplace

(Also, please check the development set up guide http://numba.pydata.org/numba-doc/latest/developer/contributing.html.)

If you are not working on Numba development:

Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new

If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba

Thanks in advance for your help in improving Numba!

The original error was: 'cannot import name '_typeconv' from 'numba.typeconv' (/home/jjuv/anaconda3/lib/python3.7/site-packages/numba/typeconv/__init__.py)'
--------------------------------------------------------------------------------
If possible please include the following in your error report:

sys.executable: /home/jjuv/anaconda3/envs/open-mmlab/bin/python

搞定了numba，继续准备数据

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0-mini --canbus ./data

还是报错
大体上意思就是，skimage库的问题

Traceback (most recent call last):
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/skimage/__init__.py", line 119, in <module>
    from ._shared import geometry
ImportError: cannot import name 'geometry' from 'skimage._shared' (/home/jjuv/anaconda3/lib/python3.7/site-packages/skimage/_shared/__init__.py)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "tools/create_data.py", line 9, in <module>
    from data_converter import kitti_converter as kitti
  File "/home/jjuv/Documents/yzh/BEVFormer/tools/data_converter/kitti_converter.py", line 9, in <module>
    from .kitti_data_utils import get_kitti_image_info, get_waymo_image_info
  File "/home/jjuv/Documents/yzh/BEVFormer/tools/data_converter/kitti_data_utils.py", line 7, in <module>
    from skimage import io
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/skimage/__init__.py", line 122, in <module>
    _raise_build_error(e)
  File "/home/jjuv/anaconda3/lib/python3.7/site-packages/skimage/__init__.py", line 100, in _raise_build_error
    raise ImportError("""%s
ImportError: cannot import name 'geometry' from 'skimage._shared' (/home/jjuv/anaconda3/lib/python3.7/site-packages/skimage/_shared/__init__.py)
It seems that scikit-image has not been built correctly.

Your install of scikit-image appears to be broken.
Try re-installing the package following the instructions at:
https://scikit-image.org/docs/stable/install.html

但是好像没有skimage，准确的说应该叫scikit-image
于是，重新安装一下scikit-image，默认选择的是scikit-image-0.20.0
但是报错了

  Attempting uninstall: numpy
    Found existing installation: numpy 1.19.5
    Uninstalling numpy-1.19.5:
      Successfully uninstalled numpy-1.19.5
  Attempting uninstall: scipy
    Found existing installation: scipy 1.10.1
    Uninstalling scipy-1.10.1:
      Successfully uninstalled scipy-1.10.1
  Attempting uninstall: networkx
    Found existing installation: networkx 2.2
    Uninstalling networkx-2.2:
      Successfully uninstalled networkx-2.2

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.
mmdet3d 0.17.1 requires networkx<2.3,>=2.2, but you have networkx 3.1 which is incompatible.
mmdet3d 0.17.1 requires numpy<1.20.0, but you have numpy 1.24.3 which is incompatible.

scikit-image的官网版本挑选
那就试试0.19.3

pip install scikit-image==0.19.3

但是他安装的默认库的版本太高了，需要手动选择一下networkx和numpy的版本

pip install networkx==2.2

pip install numpy==1.19.5

搞定了scikit-image，继续准备数据

python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0-mini --canbus ./data

哭了，终于成功了

各个依赖库总结下来

需要专门指定版本的库大概就是如下几个
mmcv-full
matplotlib
scikit-image
networkx
numpy
尽量按照我推荐的顺序安装，否则可能会出现前面安装了后面又被覆盖了的尴尬情况。

pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html
pip install matplotlib==3.5.2
pip install scikit-image==0.19.3
pip install networkx==2.2
pip install numpy==1.19.5

跑一下（getting_started.md）

可以先了解一下不同FP的意思
FP32、FP16和INT8
Train BEVFormer with 8 GPUs

./tools/dist_train.sh ./projects/configs/bevformer/bevformer_base.py 8

推荐使用的是8个gpu，我没有那么多，只有1个。

./tools/dist_train.sh ./projects/configs/bevformer/bevformer_base.py 1

每看懂，里面写的是啥，先跑一下吧。
果然不太行@_@

RuntimeError: CUDA out of memory. Tried to allocate 1.59 GiB (GPU 0; 3.94 GiB total capacity; 2.51 GiB already allocated; 682.50 MiB free; 2.54 GiB reserved in total by PyTorch)
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 26554) of binary: /home/jjuv/anaconda3/envs/open-mmlab/bin/python
Traceback (most recent call last):

主要报错理由应该是算力不够

收笔。

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Ubuntu16.04部署BEVformer 实时记录

一 配置依赖

a. Create a conda virtual environment and activate it.

b. Install PyTorch and torchvision following the official instructions.

c. Install gcc>=5 in conda env (optional).

c. Install mmcv-full.

d. Install mmdet and mmseg.

e. Install mmdet3d from source code.

安装mmdetection3d

numpy安装报错

错误2

错误3

依然报错

忽然发现应该安装指定版本的mmdetection3d

错误1

还是没有成功，我就先往下面走了

还是不太行，我又回来了

搞定了cudnn后，再次安装

搞定库了，继续进行安装

f. Install timm.

g. Clone BEVFormer.

h. Prepare pretrained models.

二 准备数据（prepare_dataset.md）

Prepare nuScenes data

报错1

搞定了mmdet3d重新回来，继续准备数据

搞定了matplotlib，那就继续准备数据

搞定了kiwisolver，继续准备数据

搞定了numba，继续准备数据

搞定了scikit-image，继续准备数据

各个依赖库总结下来

跑一下（getting_started.md）

你可能感兴趣的:(计算机视觉,python,开发语言)

一配置依赖

二准备数据（prepare_dataset.md）