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Requirements

  • python=3.7.7 [GCC 8.4.0]
  • pytorch=1.9.1+cu111
  • torchvision=0.10.1+cu111
  • torchaudio=0.9.1
  • mmcv-full=1.4.0
  • mmdet=2.14.0
  • mmseg=0.14.1
  • mdetection3d=0.17.1
  • timm=0.6.13
  • tensorboard=2.8.0
  • torchmetrics=0.11.4

Step-by-step installation instructions

If you are running on SCITAS, we have made available a pre-installed virtual environment at /work/vita/datasets/bev/venvs/open-mmlab/.

Otherwise, follow:

a. Create a virtual environment and activate it.

python -m venv --system-site-packages venvs/open-mmlab
source venvs/open-mmlab/bin/activate

a.1. Upgrade pip.

pip install --upgrade pip

b. Install PyTorch and torchvision following the official instructions.

pip install --no-cache-dir torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

c. Install mmcv-full.

pip install --no-cache-dir mmcv-full==1.4.0

d. Install mmdet and mmseg.

pip install --no-cache-dir mmdet==2.14.0
pip install --no-cache-dir 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 
python setup.py install

f. Install timm.

pip install --no-cache-dir timm

g. Install tensorboard 2.8.0.

pip install --no-cache-dir tensorboard==2.8.0

h. Install torchmetrics 0.11.4.

pip install --no-cache-dir torchmetrics==0.11.4

i. Clone repo

git clone https://github.com/vita-student-projects/BEVFormer_HoP_gr3.git

Detailed Environment Info:

  • sys.platform: linux

  • Python: 3.7.7 [GCC 8.4.0]

  • CUDA available: True

  • GPU 0,1: Tesla V100-PCIE-32GB

  • NVCC: Cuda compilation tools, release 10.2, V10.2.89

  • GCC: gcc (Spack GCC) 8.4.0

  • PyTorch: 1.9.1+cu111

  • PyTorch compiling details: PyTorch built with:

    • GCC 7.3
    • C++ Version: 201402
    • Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
    • Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)
    • OpenMP 201511 (a.k.a. OpenMP 4.5)
    • NNPACK is enabled
    • CPU capability usage: AVX2
    • CUDA Runtime 11.1
    • CuDNN 8.0.5
    • Magma 2.5.2
    • Build settings: CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5

  • TorchVision: 0.10.1+cu111

  • OpenCV: 4.7.0

  • MMCV: 1.4.0

  • MMCV Compiler: GCC 8.4

  • MMCV CUDA Compiler: 10.2

  • MMDetection: 2.14.0

  • MMSegmentation: 0.14.1

  • MMDetection3D: 0.17.1+817468b

Detailed Packages Infos

  • absl-py 0.7.1
  • addict 2.4.0
  • anyio 3.6.2
  • argon2-cffi 21.3.0
  • argon2-cffi-bindings 21.2.0
  • astunparse 1.6.3
  • attrs 23.1.0
  • backcall 0.2.0
  • beautifulsoup4 4.12.2
  • black 23.3.0
  • bleach 6.0.0
  • Bottleneck 1.2.1
  • cachetools 5.3.0
  • certifi 2019.9.11
  • cffi 1.15.1
  • chardet 3.0.4
  • click 8.1.3
  • cycler 0.10.0
  • Cython 0.29.16
  • debugpy 1.6.7
  • decorator 5.1.1
  • defusedxml 0.7.1
  • descartes 1.1.0
  • entrypoints 0.4
  • exceptiongroup 1.1.1
  • fastjsonschema 2.16.3
  • filelock 3.12.0
  • fire 0.5.0
  • flake8 5.0.4
  • fsspec 2023.1.0
  • gast 0.3.3
  • google-auth 2.18.1
  • google-auth-oauthlib 0.4.6
  • google-pasta 0.1.8
  • grpcio 1.27.2
  • huggingface-hub 0.14.1
  • idna 2.8
  • imageio 2.28.0
  • importlib-metadata 6.6.0
  • importlib-resources 5.12.0
  • iniconfig 2.0.0
  • ipykernel 6.16.2
  • ipython 7.34.0
  • ipython-genutils 0.2.0
  • ipywidgets 8.0.6
  • jedi 0.18.2
  • Jinja2 3.1.2
  • joblib 1.2.0
  • jsonschema 4.17.3
  • jupyter 1.0.0
  • jupyter_client 7.4.9
  • jupyter-console 6.6.3
  • jupyter_core 4.12.0
  • jupyter-server 1.24.0
  • jupyterlab-pygments 0.2.2
  • jupyterlab-widgets 3.0.7
  • Keras-Preprocessing 1.1.2
  • kiwisolver 1.1.0
  • llvmlite 0.31.0
  • lyft-dataset-sdk 0.0.8
  • Markdown 3.4.3
  • MarkupSafe 2.1.2
  • matplotlib 3.2.2
  • matplotlib-inline 0.1.6
  • mccabe 0.7.0
  • mistune 2.0.5
  • mmcv-full 1.4.0
  • mmdet 2.14.0
  • mmdet3d 0.17.1
  • mmsegmentation 0.14.1
  • mpmath 1.1.0
  • mypy-extensions 1.0.0
  • nbclassic 0.5.6
  • nbclient 0.7.4
  • nbconvert 7.3.1
  • nbformat 5.8.0
  • nest-asyncio 1.5.6
  • networkx 2.2
  • ninja 1.11.1
  • notebook 6.5.4
  • notebook_shim 0.2.3
  • numba 0.48.0
  • numexpr 2.7.0
  • numpy 1.18.5
  • nuscenes-devkit 1.1.10
  • oauthlib 3.2.2
  • opencv-python 4.7.0.72
  • opt-einsum 3.1.0
  • packaging 23.1
  • pandas 1.0.5
  • pandocfilters 1.5.0
  • parso 0.8.3
  • pathspec 0.11.1
  • pexpect 4.8.0
  • pickleshare 0.7.5
  • Pillow 9.5.0
  • pip 23.1.2
  • pkgutil_resolve_name 1.3.10
  • platformdirs 3.5.0
  • plotly 5.14.1
  • pluggy 1.0.0
  • ply 3.11
  • plyfile 0.9
  • prettytable 3.7.0
  • prometheus-client 0.16.0
  • prompt-toolkit 3.0.38
  • protobuf 3.11.2
  • psutil 5.9.5
  • ptyprocess 0.7.0
  • pyasn1 0.5.0
  • pyasn1-modules 0.3.0
  • pycocotools 2.0.6
  • pycodestyle 2.9.1
  • pycparser 2.21
  • pyflakes 2.5.0
  • Pygments 2.15.1
  • pyparsing 2.4.2
  • pyquaternion 0.9.9
  • pyrsistent 0.19.3
  • pytest 7.3.1
  • python-dateutil 2.8.2
  • pytz 2019.3
  • PyWavelets 1.3.0
  • PyYAML 5.3.1
  • pyzmq 25.0.2
  • qtconsole 5.4.2
  • QtPy 2.3.1
  • requests 2.22.0
  • requests-oauthlib 1.3.1
  • rsa 4.9
  • scikit-image 0.19.3
  • scikit-learn 1.0.2
  • scipy 1.5.0
  • semver 2.8.1
  • Send2Trash 1.8.2
  • setuptools 41.2.0
  • Shapely 1.8.5
  • six 1.14.0
  • sniffio 1.3.0
  • soupsieve 2.4.1
  • sympy 1.4
  • tenacity 8.2.2
  • tensorboard 2.8.0
  • tensorboard-data-server 0.6.1
  • tensorboard-plugin-wit 1.8.1
  • termcolor 1.1.0
  • terminado 0.17.1
  • terminaltables 3.1.10
  • threadpoolctl 3.1.0
  • tifffile 2021.11.2
  • timm 0.6.13
  • tinycss2 1.2.1
  • tomli 2.0.1
  • torch 1.9.1+cu111
  • torchaudio 0.9.1
  • torchmetrics 0.11.4
  • torchvision 0.10.1+cu111
  • tornado 6.2
  • tqdm 4.65.0
  • traitlets 5.9.0
  • trimesh 2.35.39
  • typed-ast 1.5.4
  • typing_extensions 4.5.0
  • urllib3 1.25.6
  • virtualenv 16.7.6
  • wcwidth 0.2.6
  • webencodings 0.5.1
  • websocket-client 1.5.1
  • Werkzeug 2.2.3
  • wheel 0.33.4
  • widgetsnbextension 4.0.7
  • wrapt 1.11.2
  • xarray 0.14.0
  • yapf 0.33.0
  • zipp 3.15.0