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requirenment.yml
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/
requirenment.yml
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name: car
channels:
- chubb-gregory_werbin
- zhaofeng-shu33
- conda-forge
- anaconda
- defaults
dependencies:
- _tflow_select=2.1.0
- absl-py=0.7.1
- altgraph=0.16.1
- astor=0.8.0
- blas=1.0
- ca-certificates=2019.9.11
- certifi=2019.9.11
- cudatoolkit=10.0.130
- cudnn=7.6.0
- cycler=0.10.0
- easydict=1.9
- freetype=2.9.1
- future=0.18.1
- gast=0.2.2
- grpcio=1.16.1
- h5py=2.8.0
- hdf5=1.8.20
- icc_rt=2019.0.0
- icu=58.2
- imbalanced-learn=0.5.0
- intel-openmp=2019.4
- joblib=0.13.2
- jpeg=9b
- keras=2.2.4
- keras-applications=1.0.8
- keras-base=2.2.4
- keras-preprocessing=1.1.0
- kiwisolver=1.1.0
- libblas=3.8.0
- libcblas=3.8.0
- libopencv=3.4.2
- libpng=1.6.37
- libprotobuf=3.8.0
- libtiff=4.0.10
- macholib=1.11
- markdown=3.1.1
- matplotlib=3.1.0
- matplotlib-base=3.1.1
- mkl=2019.4
- mkl-service=2.0.2
- mkl_fft=1.0.14
- mkl_random=1.0.2
- numpy=1.16.4
- numpy-base=1.16.4
- olefile=0.46
- opencv=3.4.2
- openssl=1.1.1
- pandas=0.25.0
- patsy=0.5.1
- pefile=2019.4.18
- pillow=6.1.0
- pip=19.1.1
- protobuf=3.8.0
- py-opencv=3.4.2
- pycrypto=2.6.1
- pyinstaller=3.5
- pyparsing=2.4.2
- pyqt=5.9.2
- python=3.7.4
- python-dateutil=2.8.0
- pytz=2019.2
- pywin32=224
- pywin32-ctypes=0.2.0
- pyyaml=5.1.1
- qt=5.9.7
- scikit-learn=0.21.3
- scipy=1.3.1
- seaborn=0.9.0
- setuptools=41.0.1
- sip=4.19.13
- six=1.12.0
- sklearn-pandas=1.7.0
- sqlite=3.29.0
- statsmodels=0.10.1
- tensorboard=1.14.0
- tensorflow=1.14.0
- tensorflow-base=1.14.0
- tensorflow-estimator=1.14.0
- tensorflow-gpu=1.14.0
- termcolor=1.1.0
- tk=8.6.8
- tornado=6.0.3
- vc=14.1
- vs2015_runtime=14.15.26706
- werkzeug=0.15.4
- wheel=0.33.4
- wincertstore=0.2
- wrapt=1.11.2
- xmltodict=0.12.0
- xz=5.2.4
- yaml=0.1.7
- zlib=1.2.11
- zstd=1.3.7
- pip:
- decorator==4.4.1
- imageio==2.6.1
- imutils==0.5.3
- networkx==2.4
- opencv-contrib-python==4.1.1.26
- opencv-python==4.1.1.26
- pywavelets==1.1.1
- scikit-image==0.16.2
prefix: C:\Anaconda3\envs\car