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irsproj.yaml
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irsproj.yaml
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name: irsproj
channels:
- conda-forge
- anaconda
- defaults
dependencies:
- _tflow_select=2.1.0=gpu
- absl-py=0.9.0=py36_0
- astor=0.7.1=py_0
- attrs=19.3.0=py_0
- backcall=0.1.0=py_0
- blas=1.0=mkl
- bleach=3.1.0=py_0
- ca-certificates=2019.11.28=hecc5488_0
- certifi=2019.11.28=py36_0
- colorama=0.4.3=py_0
- cudatoolkit=10.0.130=0
- cudnn=7.6.5=cuda10.0_0
- cycler=0.10.0=py_2
- decorator=4.4.1=py_0
- defusedxml=0.6.0=py_0
- entrypoints=0.3=py36_1000
- freetype=2.10.0=h563cfd7_1
- gast=0.2.2=py_0
- google-pasta=0.1.8=py_0
- grpcio=1.23.0=py36h3db2c7e_0
- h5py=2.7.1=py36_2
- hdf5=1.10.1=vc14hb361328_0
- icc_rt=2019.0.0=h0cc432a_1
- icu=64.2=he025d50_1
- importlib_metadata=1.5.0=py36_0
- inflect=4.0.0=py36_1
- intel-openmp=2019.5=281
- ipykernel=5.1.4=py36h5ca1d4c_0
- ipython=7.11.1=py36h5ca1d4c_0
- ipython_genutils=0.2.0=py_1
- jaraco.itertools=5.0.0=py_0
- jedi=0.16.0=py36_0
- jinja2=2.11.1=py_0
- joblib=0.14.1=py_0
- jpeg=9c=hfa6e2cd_1001
- json5=0.9.0=py_0
- jsonschema=3.2.0=py36_0
- jupyter_client=5.3.4=py36_1
- jupyter_core=4.6.1=py36_0
- jupyterlab=1.2.6=py_0
- jupyterlab_server=1.0.6=py_0
- keras-applications=1.0.8=py_1
- keras-preprocessing=1.1.0=py_0
- kiwisolver=1.1.0=py36he980bc4_0
- libblas=3.8.0=8_mkl
- libcblas=3.8.0=8_mkl
- libclang=9.0.1=default_hf44288c_0
- liblapack=3.8.0=8_mkl
- liblapacke=3.8.0=8_mkl
- libopencv=4.2.0=py36_2
- libpng=1.6.37=h7602738_0
- libprotobuf=3.11.2=h1a1b453_0
- libsodium=1.0.17=h2fa13f4_0
- libtiff=4.1.0=h21b02b4_3
- libwebp=1.0.2=hfa6e2cd_5
- lz4-c=1.8.3=he025d50_1001
- m2w64-gcc-libgfortran=5.3.0=6
- m2w64-gcc-libs=5.3.0=7
- m2w64-gcc-libs-core=5.3.0=7
- m2w64-gmp=6.1.0=2
- m2w64-libwinpthread-git=5.0.0.4634.697f757=2
- markdown=3.1.1=py_0
- markupsafe=1.1.1=py36hfa6e2cd_0
- matplotlib=3.1.2=py36_1
- matplotlib-base=3.1.2=py36h2981e6d_1
- mistune=0.8.4=py36hfa6e2cd_1000
- mkl=2019.5=281
- mkl-service=2.3.0=py36hfa6e2cd_0
- more-itertools=8.2.0=py_0
- msys2-conda-epoch=20160418=1
- nbconvert=5.6.1=py36_0
- nbformat=5.0.4=py_0
- notebook=6.0.3=py36_0
- numpy=1.17.5=py36hc71023c_0
- olefile=0.46=py_0
- opencv=4.2.0=py36_2
- openssl=1.1.1d=hfa6e2cd_0
- opt_einsum=3.1.0=py_0
- pandas=1.0.0=py36he350917_0
- pandoc=2.9.1.1=0
- pandocfilters=1.4.2=py_1
- parso=0.6.0=py_0
- pickleshare=0.7.5=py36_1000
- pillow=7.0.0=py36h9ea1dd6_0
- pip=20.0.2=py36_1
- prometheus_client=0.7.1=py_0
- prompt_toolkit=3.0.3=py_0
- protobuf=3.11.2=py36he025d50_0
- py-opencv=4.2.0=py36h5ca1d4c_2
- pygments=2.5.2=py_0
- pyparsing=2.4.6=py_0
- pyqt=5.12.3=py36h6538335_1
- pyrsistent=0.15.7=py36hfa6e2cd_0
- python=3.6.7=he025d50_1006
- python-dateutil=2.8.1=py_0
- pytz=2019.3=py_0
- pywin32=225=py36hfa6e2cd_0
- pywinpty=0.5.7=py36_0
- pyzmq=18.1.1=py36h16f9016_0
- qt=5.12.5=h7ef1ec2_0
- scikit-learn=0.22.1=py36h7208079_1
- scipy=1.3.2=py36h29ff71c_0
- send2trash=1.5.0=py_0
- setuptools=45.1.0=py36_0
- six=1.14.0=py36_0
- sqlite=3.30.1=hfa6e2cd_0
- tensorboard=2.0.0=pyhb38c66f_1
- tensorflow=2.0.0=gpu_py36hfdd5754_0
- tensorflow-base=2.0.0=gpu_py36h390e234_0
- tensorflow-estimator=2.0.0=pyh2649769_0
- tensorflow-gpu=2.0.0=h0d30ee6_0
- termcolor=1.1.0=py_2
- terminado=0.8.3=py36_0
- testpath=0.4.4=py_0
- tk=8.6.10=hfa6e2cd_0
- traitlets=4.3.3=py36_0
- vc=14.1=h0510ff6_4
- vs2015_runtime=14.16.27012=hf0eaf9b_1
- wcwidth=0.1.8=py_0
- webencodings=0.5.1=py_1
- werkzeug=0.16.1=py_0
- wheel=0.34.2=py36_0
- wincertstore=0.2=py36_1003
- winpty=0.4.3=4
- wrapt=1.11.2=py36hfa6e2cd_0
- xz=5.2.4=h2fa13f4_1001
- zeromq=4.3.2=h6538335_2
- zipp=2.1.0=py_0
- zlib=1.2.11=vc14h1cdd9ab_1
- zstd=1.4.4=hd8a0e53_1
- pip:
- airsim==1.2.5
- msgpack-python==0.5.6
- msgpack-rpc-python==0.4.1
- pyqt5-sip==4.19.18
- pyqtwebengine==5.12.1
- tornado==4.5.3
prefix: D:\Anaconda3\envs\irsproj