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So far we have not implemented multiple worlds training/testing, which means world size can only be set to 1. We will try multiple worlds setting in future versions.
Also, we used linux environment, cuda 9.0+.
env:
win10 cuda10.1
absl-py 0.8.0 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
absl-py 0.8.1
addict 2.2.1
apex 0.1
astor 0.8.0
attrs 19.3.0
backcall 0.1.0 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
bcrypt 3.1.7
beautifulsoup4 4.8.1
blas 1.0 mkl anaconda
bs4 0.0.1
bzip2 1.0.6 vc14_3 [vc14] anaconda
ca-certificates 2019.8.28 0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
certifi 2019.9.11 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cffi 1.12.3 py37h7a1dbc1_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
chardet 3.0.4
Click 7.0
cloudpickle 1.2.2
colorama 0.4.1 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cryptography 2.8
cudatoolkit 10.1.243 h74a9793_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cycler 0.10.0 py37_0 anaconda
cython 0.29.13 py37ha925a31_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
decorator 4.4.1 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
detectron2 0.1
easydict 1.9
Flask 1.1.1
freetype 2.9.1 ha9979f8_1 anaconda
future 0.17.1 py37_0 anaconda
fvcore 0.1
gast 0.3.2
google-pasta 0.1.7
grpcio 1.24.1
grpcio 1.16.1 py37h351948d_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
h5py 2.10.0
hdf5 1.8.18 vc14h7a021fe_0 [] https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
html5lib 1.0.1
icc_rt 2019.0.0 h0cc432a_1 anaconda
icu 58.2 vc14hc45fdbb_0 [vc14] anaconda
idna 2.8
imagecorruptions 1.1.0
imageio 2.6.1
imgaug 0.2.6
intel-openmp 2019.5 281 anaconda
ipython 7.9.0 py37h39e3cac_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ipython_genutils 0.2.0 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
itsdangerous 1.1.0
jedi 0.15.1 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
Jinja2 2.10.3
joblib 0.14.0
jpeg 9b vc14h4d7706e_1 [vc14] anaconda
jsonpatch 1.24
jsonpointer 2.0
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.0
kiwisolver 1.1.0 py37ha925a31_0 anaconda
labelme 3.16.7
libopencv 3.4.1 hf0769c1_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libpng 1.6.37 h2a8f88b_0 anaconda
libprotobuf 3.9.2 h7bd577a_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libtiff 4.0.10 hb898794_2 anaconda
markdown 3.1.1 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
MarkupSafe 1.1.1
maskrcnn-benchmark 0.1
matplotlib 3.1.1 py37hc8f65d3_0 anaconda
mkl 2019.5 281 anaconda
mkl-service 2.3.0 py37hb782905_0 anaconda
mkl_fft 1.0.14 py37h14836fe_0 anaconda
mkl_random 1.1.0 py37h675688f_0 anaconda
mmcv 0.2.14
mmdet 1.0rc0+82c533b
mmfashion 0.1.0+0288d70
mmfashion 0.1.0+ad2c911
msvc_runtime 1.0.1 vc14_0 [vc14] anaconda
networkx 2.4
ninja 1.9.0.post1
ninja 1.9.0 py37h74a9793_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
numpy 1.16.5 py37h19fb1c0_0 anaconda
numpy-base 1.16.5 py37hc3f5095_0 anaconda
olefile 0.46 py37_0 anaconda
opencv 3.4.1 py37h40b0b35_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
opencv-python 4.1.1.26
openssl 1.1.1d he774522_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pandas 0.25.3
paramiko 2.6.0
parso 0.5.1 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pickleshare 0.7.5 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pillow 5.2.0 py37h08bbbbd_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
Pillow 6.2.1
pip 19.3.1
pip 19.2.3 py37_0 anaconda
portalocker 1.5.1
prompt_toolkit 2.0.10 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
protobuf 3.10.0
protobuf 3.9.2 py37h33f27b4_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
py-opencv 3.4.1 py37hc319ecb_3 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pycocotools 2.0
pycparser 2.19 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pydensecrf 1.0rc2
pygments 2.4.2 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pyhocon 0.3.51
PyNaCl 1.3.0
pyparsing 2.4.2 py_0 anaconda
pypinyin 0.35.4
pypiwin32 223
pyqt 5.9.2 py37ha878b3d_0 anaconda
python 3.7.1 h33f27b4_4 anaconda
python-dateutil 2.8.0 py37_0 anaconda
pytorch 1.3.0 py3.7_cuda101_cudnn7_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
pytz 2019.3 py_0 anaconda
PyWavelets 1.1.1
pywin32 225
PyYAML 5.1.2
pyzmq 18.1.0
qt 5.9.7 vc14h73c81de_0 [vc14] anaconda
QtPy 1.9.0
requests 2.22.0
scikit-image 0.16.2
scikit-learn 0.21.3
scipy 1.3.1
setuptools 41.4.0 py37_0 anaconda
sip 4.19.13 py37ha925a31_0 anaconda
six 1.12.0 py37_0 anaconda
sklearn 0.0
soupsieve 1.9.4
sqlite 3.30.0 he774522_0 anaconda
tb-nightly 2.1.0a20191016
tensorboard 2.0.0
tensorflow-gpu 2.0.0a0
termcolor 1.1.0
terminaltables 3.1.0
tf-estimator-nightly 1.14.0.dev2019030115
tk 8.6.7 vc14hb68737d_1 [] https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
torchfile 0.1.0
torchsummary 1.5.1
torchvision 0.4.1 py37_cu101 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
tornado 6.0.3 py37he774522_0 anaconda
tqdm 4.36.1 py_0 anaconda
traitlets 4.3.3 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
urllib3 1.25.6
vc 14.1 h0510ff6_4 anaconda
visdom 0.1.8.9
vs2015_runtime 14.16.27012 hf0eaf9b_0 anaconda
wcwidth 0.1.7 py37_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
webencodings 0.5.1
websocket-client 0.56.0
werkzeug 0.16.0 py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
wheel 0.33.6 py37_0 anaconda
wincertstore 0.2 py37_0 anaconda
xz 5.2.4 h2fa13f4_4 anaconda
yacs 0.1.6
zlib 1.2.11 vc14h1cdd9ab_1 [vc14] anaconda
zstd 1.3.7 h508b16e_0 anaconda
cmd: python tools/test_landmark_detector.py --config configs/landmark_detect/landmark_detect_vgg.py --checkpoint Landmark_Detection_VGG-16.pth
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