From e36df71c840ab2aab5c92abe41fd6eaaa5bb1d7e Mon Sep 17 00:00:00 2001 From: Yosuke Shinya <42844407+shinya7y@users.noreply.github.com> Date: Sat, 25 Jun 2022 07:53:12 +0000 Subject: [PATCH] Update docs --- README.md | 6 +- docs/en/envs/README.md | 9 ++ docs/en/envs/conda_env_universenet_2206.yaml | 120 +++++++++++++++++++ 3 files changed, 132 insertions(+), 3 deletions(-) create mode 100644 docs/en/envs/conda_env_universenet_2206.yaml diff --git a/README.md b/README.md index b9bdb473f..fbdab94c6 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ https://arxiv.org/abs/2103.14027 ## Changelog -- recent: +- 22.06 (June 2022): - Add SwinV2, FocalNet, GBR COTS dataset - Update codes for mmdet 2.25.0, mmcv-full 1.4.4 - 21.12 (Dec. 2021): @@ -48,11 +48,11 @@ Methods and architectures: - [x] [UniverseNets (arXiv 2021)](configs/universenet/) - [x] [Swin Transformer V2 (CVPR 2022)](configs/swinv2/) - [x] [FocalNet (arXiv 2022)](configs/focalnet/) -- [x] [PoolFormer (arXiv 2021)](configs/poolformer/) +- [x] [PoolFormer (CVPR 2022)](configs/poolformer/) - [x] [ConvMLP (arXiv 2021)](configs/convmlp/) - [x] [CBNetV2 (arXiv 2021)](configs/cbnet/) - [x] ~~TOOD (ICCV 2021)~~ supported -- [x] [PVTv2 (arXiv 2021)](configs/pvtv2_original/) stronger models +- [x] [PVTv2 (CVMJ 2022)](configs/pvtv2_original/) stronger models - [x] ~~PVT (ICCV 2021)~~ supported - [x] [Swin Transformer (ICCV 2021)](configs/swin_original/) stronger models - [x] ~~DDOD (ACMMM 2021)~~ supported diff --git a/docs/en/envs/README.md b/docs/en/envs/README.md index 4cf6d0eba..59ea98883 100644 --- a/docs/en/envs/README.md +++ b/docs/en/envs/README.md @@ -1,5 +1,14 @@ ## Testing environment +### UniverseNet 22.06 (June 2022) + +- Ubuntu 18.04 +- Python 3.9 +- PyTorch 1.9.0 +- CUDA 11.1 +- GCC 7.5 +- mmcv-full 1.4.4 + ### UniverseNet 21.12 (Dec. 2021) - Ubuntu 18.04 diff --git a/docs/en/envs/conda_env_universenet_2206.yaml b/docs/en/envs/conda_env_universenet_2206.yaml new file mode 100644 index 000000000..3ed977ded --- /dev/null +++ b/docs/en/envs/conda_env_universenet_2206.yaml @@ -0,0 +1,120 @@ +name: univ2206 +channels: + - conda-forge +dependencies: + - _libgcc_mutex=0.1=conda_forge + - _openmp_mutex=4.5=1_llvm + - asynctest=0.13.0=py_0 + - attrs=21.4.0=pyhd8ed1ab_0 + - bzip2=1.0.8=h7f98852_4 + - ca-certificates=2021.10.8=ha878542_0 + - cffi=1.15.0=py39h4bc2ebd_0 + - cudatoolkit=11.1.1=h6406543_10 + - cudnn=8.2.1.32=h86fa8c9_0 + - freetype=2.10.4=h0708190_1 + - future=0.18.2=py39hf3d152e_4 + - iniconfig=1.1.1=pyh9f0ad1d_0 + - jbig=2.1=h7f98852_2003 + - joblib=1.1.0=pyhd8ed1ab_0 + - jpeg=9e=h7f98852_0 + - lcms2=2.12=hddcbb42_0 + - ld_impl_linux-64=2.36.1=hea4e1c9_2 + - lerc=3.0=h9c3ff4c_0 + - libblas=3.9.0=12_linux64_mkl + - libcblas=3.9.0=12_linux64_mkl + - libdeflate=1.8=h7f98852_0 + - libffi=3.4.2=h7f98852_5 + - libgcc-ng=11.2.0=h1d223b6_12 + - libgfortran-ng=11.2.0=h69a702a_12 + - libgfortran5=11.2.0=h5c6108e_12 + - libgomp=11.2.0=h1d223b6_12 + - liblapack=3.9.0=12_linux64_mkl + - libnsl=2.0.0=h7f98852_0 + - libpng=1.6.37=h21135ba_2 + - libprotobuf=3.16.0=h780b84a_0 + - libstdcxx-ng=11.2.0=he4da1e4_12 + - libtiff=4.3.0=h6f004c6_2 + - libuuid=2.32.1=h7f98852_1000 + - libwebp-base=1.2.2=h7f98852_1 + - libzlib=1.2.11=h36c2ea0_1013 + - llvm-openmp=12.0.1=h4bd325d_1 + - lz4-c=1.9.3=h9c3ff4c_1 + - magma=2.5.4=ha9b7cf9_2 + - mkl=2021.4.0=h8d4b97c_729 + - nccl=2.11.4.1=h7537e88_1 + - ncurses=6.3=h9c3ff4c_0 + - ninja=1.10.2=h4bd325d_1 + - numpy=1.22.1=py39h91f2184_0 + - olefile=0.46=pyh9f0ad1d_1 + - openjpeg=2.4.0=hb52868f_1 + - openssl=3.0.2=h166bdaf_1 + - packaging=21.3=pyhd8ed1ab_0 + - pandas=1.4.0=py39hde0f152_0 + - pillow=8.4.0=py39ha612740_0 + - pip=21.3.1=pyhd8ed1ab_0 + - pluggy=1.0.0=py39hf3d152e_2 + - py=1.11.0=pyh6c4a22f_0 + - pycparser=2.21=pyhd8ed1ab_0 + - pyparsing=3.0.7=pyhd8ed1ab_0 + - pytest=6.2.5=py39hf3d152e_2 + - python=3.9.10=hc74c709_0_cpython + - python-dateutil=2.8.2=pyhd8ed1ab_0 + - python_abi=3.9=2_cp39 + - pytorch=1.9.0=cuda111py39hc274426_1 + - pytorch-gpu=1.9.0=cuda111py39h788eb59_1 + - pytz=2021.3=pyhd8ed1ab_0 + - readline=8.1=h46c0cb4_0 + - scikit-learn=1.0.2=py39h4dfa638_0 + - scipy=1.7.3=py39hee8e79c_0 + - setuptools=60.5.0=py39hf3d152e_0 + - six=1.16.0=pyh6c4a22f_0 + - sleef=3.5.1=h9b69904_2 + - sqlite=3.37.0=h9cd32fc_0 + - tbb=2021.5.0=h4bd325d_0 + - threadpoolctl=3.1.0=pyh8a188c0_0 + - tk=8.6.11=h27826a3_1 + - toml=0.10.2=pyhd8ed1ab_0 + - torchvision=0.10.0=py39cuda111hcd06603_0_cuda + - typing_extensions=4.0.1=pyha770c72_0 + - tzdata=2021e=he74cb21_0 + - wheel=0.37.1=pyhd8ed1ab_0 + - xdoctest=0.15.6=pyhd8ed1ab_0 + - xz=5.2.5=h516909a_1 + - zlib=1.2.11=h36c2ea0_1013 + - zstd=1.5.2=ha95c52a_0 + - pip: + - addict==2.4.0 + - albumentations==1.1.0 + - cfgv==3.3.1 + - cycler==0.11.0 + - cython==0.29.27 + - distlib==0.3.4 + - faiss-gpu==1.7.2 + - filelock==3.4.2 + - flake8==4.0.1 + - fonttools==4.29.0 + - identify==2.4.6 + - imageio==2.16.2 + - isort==4.3.21 + - kiwisolver==1.3.2 + - matplotlib==3.5.1 + - mccabe==0.6.1 + - mmcls==0.22.0 + - mmcv-full==1.4.4 + - networkx==2.8 + - nodeenv==1.6.0 + - opencv-python==4.5.5.62 + - opencv-python-headless==4.5.5.64 + - platformdirs==2.4.1 + - pre-commit==2.17.0 + - pycocotools==2.0.4 + - pycodestyle==2.8.0 + - pyflakes==2.4.0 + - pywavelets==1.3.0 + - pyyaml==6.0 + - qudida==0.0.4 + - scikit-image==0.19.2 + - terminaltables==3.1.10 + - tifffile==2022.4.8 + - virtualenv==20.13.0 + - yapf==0.32.0