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  • server computer anaconda

    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$ conda create -n wind1 python=3.6
    Solving environment: done


    ==> WARNING: A newer version of conda exists. <==
      current version: 4.4.10
      latest version: 4.8.0

    Please update conda by running

        $ conda update -n base conda



    ## Package Plan ##

      environment location: /home/star/anaconda3/envs/wind1

      added / updated specs:
        - python=3.6


    The following packages will be downloaded:

        package                    |            build
        ---------------------------|-----------------
        libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
        pip-19.3.1                 |           py36_0         1.9 MB
        setuptools-42.0.2          |           py36_0         653 KB
        openssl-1.1.1d             |       h7b6447c_3         3.7 MB
        tk-8.6.8                   |       hbc83047_0         3.1 MB
        ncurses-6.1                |       he6710b0_1         958 KB
        libedit-3.1.20181209       |       hc058e9b_0         188 KB
        sqlite-3.30.1              |       h7b6447c_0         1.9 MB
        _libgcc_mutex-0.1          |             main           3 KB
        xz-5.2.4                   |       h14c3975_4         366 KB
        python-3.6.9               |       h265db76_0        34.4 MB
        wheel-0.33.6               |           py36_0          40 KB
        readline-7.0               |       h7b6447c_5         392 KB
        zlib-1.2.11                |       h7b6447c_3         120 KB
        certifi-2019.11.28         |           py36_0         156 KB
        libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
        ca-certificates-2019.11.27 |                0         132 KB
        ------------------------------------------------------------
                                               Total:        60.2 MB

    The following NEW packages will be INSTALLED:

        _libgcc_mutex:   0.1-main               
        ca-certificates: 2019.11.27-0           
        certifi:         2019.11.28-py36_0      
        libedit:         3.1.20181209-hc058e9b_0
        libffi:          3.2.1-hd88cf55_4       
        libgcc-ng:       9.1.0-hdf63c60_0       
        libstdcxx-ng:    9.1.0-hdf63c60_0       
        ncurses:         6.1-he6710b0_1         
        openssl:         1.1.1d-h7b6447c_3      
        pip:             19.3.1-py36_0          
        python:          3.6.9-h265db76_0       
        readline:        7.0-h7b6447c_5         
        setuptools:      42.0.2-py36_0          
        sqlite:          3.30.1-h7b6447c_0      
        tk:              8.6.8-hbc83047_0       
        wheel:           0.33.6-py36_0          
        xz:              5.2.4-h14c3975_4       
        zlib:            1.2.11-h7b6447c_3      

    Proceed ([y]/n)? y


    Downloading and Extracting Packages
    libstdcxx-ng 9.1.0: ################################################################################################# | 100%
    pip 19.3.1: ######################################################################################################### | 100%
    setuptools 42.0.2: ################################################################################################## | 100%
    openssl 1.1.1d: ##################################################################################################### | 100%
    tk 8.6.8: ########################################################################################################### | 100%
    ncurses 6.1: ######################################################################################################## | 100%
    libedit 3.1.20181209: ############################################################################################### | 100%
    sqlite 3.30.1: ###################################################################################################### | 100%
    _libgcc_mutex 0.1: ################################################################################################## | 100%
    xz 5.2.4: ########################################################################################################### | 100%
    python 3.6.9: ####################################################################################################### | 100%
    wheel 0.33.6: ####################################################################################################### | 100%
    readline 7.0: ####################################################################################################### | 100%
    zlib 1.2.11: ######################################################################################################## | 100%
    certifi 2019.11.28: ################################################################################################# | 100%
    libgcc-ng 9.1.0: #################################################################################################### | 100%
    ca-certificates 2019.11.27: ######################################################################################### | 100%
    Preparing transaction: done
    Verifying transaction: done
    Executing transaction: done
    #
    # To activate this environment, use:
    # > source activate wind1
    #
    # To deactivate an active environment, use:
    # > source deactivate
    #

    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$
    star@xmatrix:~/Anaconda$ source activate wind1
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ python
    Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
    [GCC 7.3.0] on linux
    Type "help", "copyright", "credits" or "license" for more information.
    >>>
    >>>
    >>> exit()
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip --version
    pip 19.3.1 from /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pip (python 3.6)
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install --upgrade pip
    Requirement already up-to-date: pip in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (19.3.1)
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install numpy
    Collecting numpy
      Downloading https://files.pythonhosted.org/packages/d2/ab/43e678759326f728de861edbef34b8e2ad1b1490505f20e0d1f0716c3bf4/numpy-1.17.4-cp36-cp36m-manylinux1_x86_64.whl (20.0MB)
         |████████████████████████████████| 20.0MB 2.3MB/s
    Installing collected packages: numpy
    Successfully installed numpy-1.17.4
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install scipy
    Collecting scipy
      Downloading https://files.pythonhosted.org/packages/dc/29/162476fd44203116e7980cfbd9352eef9db37c49445d1fec35509022f6aa/scipy-1.4.1-cp36-cp36m-manylinux1_x86_64.whl (26.1MB)
         |████████████████████████████████| 26.1MB 2.2MB/s
    Requirement already satisfied: numpy>=1.13.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scipy) (1.17.4)
    Installing collected packages: scipy
    Successfully installed scipy-1.4.1
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install cython
    Collecting cython
      Downloading https://files.pythonhosted.org/packages/df/d1/4d3f8a7a920e805488a966cc6ab55c978a712240f584445d703c08b9f405/Cython-0.29.14-cp36-cp36m-manylinux1_x86_64.whl (2.1MB)
         |████████████████████████████████| 2.1MB 1.1MB/s
    Installing collected packages: cython
    Successfully installed cython-0.29.14
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install h5py
    Collecting h5py
      Downloading https://files.pythonhosted.org/packages/60/06/cafdd44889200e5438b897388f3075b52a8ef01f28a17366d91de0fa2d05/h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl (2.9MB)
         |████████████████████████████████| 2.9MB 767kB/s
    Requirement already satisfied: numpy>=1.7 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from h5py) (1.17.4)
    Collecting six
      Using cached https://files.pythonhosted.org/packages/65/26/32b8464df2a97e6dd1b656ed26b2c194606c16fe163c695a992b36c11cdf/six-1.13.0-py2.py3-none-any.whl
    Installing collected packages: six, h5py
    Successfully installed h5py-2.10.0 six-1.13.0
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install Pillow
    Collecting Pillow
      Downloading https://files.pythonhosted.org/packages/10/5c/0e94e689de2476c4c5e644a3bd223a1c1b9e2bdb7c510191750be74fa786/Pillow-6.2.1-cp36-cp36m-manylinux1_x86_64.whl (2.1MB)
         |████████████████████████████████| 2.1MB 1.1MB/s
    Installing collected packages: Pillow
    Successfully installed Pillow-6.2.1
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install scikit-image
    Collecting scikit-image
      Downloading https://files.pythonhosted.org/packages/c8/bb/771800366f41d66eef51e4b80515f8ef7edab234a3f244fdce3bafe89b39/scikit_image-0.16.2-cp36-cp36m-manylinux1_x86_64.whl (26.5MB)
         |████████████████████████████████| 26.5MB 1.7MB/s
    Collecting networkx>=2.0
      Using cached https://files.pythonhosted.org/packages/41/8f/dd6a8e85946def36e4f2c69c84219af0fa5e832b018c970e92f2ad337e45/networkx-2.4-py3-none-any.whl
    Collecting matplotlib!=3.0.0,>=2.0.0
      Downloading https://files.pythonhosted.org/packages/4e/11/06958a2b895a3853206dea1fb2a5b11bf044f626f90745987612af9c8f2c/matplotlib-3.1.2-cp36-cp36m-manylinux1_x86_64.whl (13.1MB)
         |████████████████████████████████| 13.1MB 1.9MB/s
    Requirement already satisfied: scipy>=0.19.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image) (1.4.1)
    Collecting PyWavelets>=0.4.0
      Downloading https://files.pythonhosted.org/packages/59/bb/d2b85265ec9fa3c1922210c9393d4cdf7075cc87cce6fe671d7455f80fbc/PyWavelets-1.1.1-cp36-cp36m-manylinux1_x86_64.whl (4.4MB)
         |████████████████████████████████| 4.4MB 927kB/s
    Collecting imageio>=2.3.0
      Using cached https://files.pythonhosted.org/packages/1a/de/f7f985018f462ceeffada7f6e609919fbcc934acd9301929cba14bc2c24a/imageio-2.6.1-py3-none-any.whl
    Requirement already satisfied: pillow>=4.3.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image) (6.2.1)
    Collecting decorator>=4.3.0
      Downloading https://files.pythonhosted.org/packages/8f/b7/f329cfdc75f3d28d12c65980e4469e2fa373f1953f5df6e370e84ea2e875/decorator-4.4.1-py2.py3-none-any.whl
    Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
      Downloading https://files.pythonhosted.org/packages/c0/0c/fc2e007d9a992d997f04a80125b0f183da7fb554f1de701bbb70a8e7d479/pyparsing-2.4.5-py2.py3-none-any.whl (67kB)
         |████████████████████████████████| 71kB 1.5MB/s
    Collecting cycler>=0.10
      Using cached https://files.pythonhosted.org/packages/f7/d2/e07d3ebb2bd7af696440ce7e754c59dd546ffe1bbe732c8ab68b9c834e61/cycler-0.10.0-py2.py3-none-any.whl
    Collecting python-dateutil>=2.1
      Using cached https://files.pythonhosted.org/packages/d4/70/d60450c3dd48ef87586924207ae8907090de0b306af2bce5d134d78615cb/python_dateutil-2.8.1-py2.py3-none-any.whl
    Collecting kiwisolver>=1.0.1
      Downloading https://files.pythonhosted.org/packages/f8/a1/5742b56282449b1c0968197f63eae486eca2c35dcd334bab75ad524e0de1/kiwisolver-1.1.0-cp36-cp36m-manylinux1_x86_64.whl (90kB)
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    Requirement already satisfied: numpy>=1.11 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.17.4)
    Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from cycler>=0.10->matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.13.0)
    Requirement already satisfied: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib!=3.0.0,>=2.0.0->scikit-image) (42.0.2.post20191203)
    Installing collected packages: decorator, networkx, pyparsing, cycler, python-dateutil, kiwisolver, matplotlib, PyWavelets, imageio, scikit-image
    Successfully installed PyWavelets-1.1.1 cycler-0.10.0 decorator-4.4.1 imageio-2.6.1 kiwisolver-1.1.0 matplotlib-3.1.2 networkx-2.4 pyparsing-2.4.5 python-dateutil-2.8.1 scikit-image-0.16.2
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install keras
    Collecting keras
      Downloading https://files.pythonhosted.org/packages/ad/fd/6bfe87920d7f4fd475acd28500a42482b6b84479832bdc0fe9e589a60ceb/Keras-2.3.1-py2.py3-none-any.whl (377kB)
         |████████████████████████████████| 378kB 7.3kB/s
    Requirement already satisfied: h5py in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (2.10.0)
    Requirement already satisfied: six>=1.9.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (1.13.0)
    Requirement already satisfied: scipy>=0.14 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (1.4.1)
    Requirement already satisfied: numpy>=1.9.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras) (1.17.4)
    Collecting keras-applications>=1.0.6
      Downloading https://files.pythonhosted.org/packages/71/e3/19762fdfc62877ae9102edf6342d71b28fbfd9dea3d2f96a882ce099b03f/Keras_Applications-1.0.8-py3-none-any.whl (50kB)
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    Collecting pyyaml
      Downloading https://files.pythonhosted.org/packages/8d/c9/e5be955a117a1ac548cdd31e37e8fd7b02ce987f9655f5c7563c656d5dcb/PyYAML-5.2.tar.gz (265kB)
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    Collecting keras-preprocessing>=1.0.5
      Downloading https://files.pythonhosted.org/packages/28/6a/8c1f62c37212d9fc441a7e26736df51ce6f0e38455816445471f10da4f0a/Keras_Preprocessing-1.1.0-py2.py3-none-any.whl (41kB)
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    Building wheels for collected packages: pyyaml
      Building wheel for pyyaml (setup.py) ... done
      Created wheel for pyyaml: filename=PyYAML-5.2-cp36-cp36m-linux_x86_64.whl size=44209 sha256=9966d7ec1273d9033e4e4d65822f97ff452322d9ac83b50aba50f2c9793e4d7a
      Stored in directory: /home/star/.cache/pip/wheels/54/b7/c7/2ada654ee54483c9329871665aaf4a6056c3ce36f29cf66e67
    Successfully built pyyaml
    Installing collected packages: keras-applications, pyyaml, keras-preprocessing, keras
    Successfully installed keras-2.3.1 keras-applications-1.0.8 keras-preprocessing-1.1.0 pyyaml-5.2
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install theano
    Collecting theano
      Downloading https://files.pythonhosted.org/packages/7d/c4/6341148ad458b6cd8361b774d7ee6895c38eab88f05331f22304c484ed5d/Theano-1.0.4.tar.gz (2.8MB)
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    Requirement already satisfied: numpy>=1.9.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from theano) (1.17.4)
    Requirement already satisfied: scipy>=0.14 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from theano) (1.4.1)
    Requirement already satisfied: six>=1.9.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from theano) (1.13.0)
    Building wheels for collected packages: theano
      Building wheel for theano (setup.py) ... done
      Created wheel for theano: filename=Theano-1.0.4-cp36-none-any.whl size=2667178 sha256=8c65fed90c416dea8040b14712754a8389558a9088e2e88a646ac54cbbf37aeb
      Stored in directory: /home/star/.cache/pip/wheels/88/fb/be/483910ff7e9f703f30a10605ad7605f3316493875c86637014
    Successfully built theano
    Installing collected packages: theano
    Successfully installed theano-1.0.4
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
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    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install jupyter
    Collecting jupyter
      Downloading https://files.pythonhosted.org/packages/83/df/0f5dd132200728a86190397e1ea87cd76244e42d39ec5e88efd25b2abd7e/jupyter-1.0.0-py2.py3-none-any.whl
    Collecting notebook
      Downloading https://files.pythonhosted.org/packages/f5/69/d2ffaf7efc20ce47469187e3a41e6e03e17b45de5a6559f4e7ab3eace5e1/notebook-6.0.2-py3-none-any.whl (9.7MB)
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    Collecting qtconsole
      Downloading https://files.pythonhosted.org/packages/7c/57/3528b84ffa753e2089908bbf74bb5ae60653eb7a63797b6234e88b847d67/qtconsole-4.6.0-py2.py3-none-any.whl (121kB)
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    Collecting ipykernel
      Downloading https://files.pythonhosted.org/packages/e1/92/8fec943b5b81078399f969f00557804d884c96fcd0bc296e81a2ed4fd270/ipykernel-5.1.3-py3-none-any.whl (116kB)
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    Collecting ipywidgets
      Downloading https://files.pythonhosted.org/packages/56/a0/dbcf5881bb2f51e8db678211907f16ea0a182b232c591a6d6f276985ca95/ipywidgets-7.5.1-py2.py3-none-any.whl (121kB)
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    Collecting nbconvert
      Downloading https://files.pythonhosted.org/packages/79/6c/05a569e9f703d18aacb89b7ad6075b404e8a4afde2c26b73ca77bb644b14/nbconvert-5.6.1-py2.py3-none-any.whl (455kB)
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    Collecting prompt-toolkit<2.1.0,>=2.0.0
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    Requirement already satisfied: decorator in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from traitlets>=4.2.1->notebook->jupyter) (4.4.1)
    Collecting MarkupSafe>=0.23
      Downloading https://files.pythonhosted.org/packages/b2/5f/23e0023be6bb885d00ffbefad2942bc51a620328ee910f64abe5a8d18dd1/MarkupSafe-1.1.1-cp36-cp36m-manylinux1_x86_64.whl
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    Collecting backcall
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      Using cached https://files.pythonhosted.org/packages/0e/3e/377007e3f36ec42f1b84ec322ee12141a9e10d808312e5738f52f80a232c/pexpect-4.7.0-py2.py3-none-any.whl
    Collecting jedi>=0.10
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    Collecting attrs>=17.4.0
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    Collecting more-itertools
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    Building wheels for collected packages: prometheus-client, tornado, pandocfilters, backcall, pyrsistent
      Building wheel for prometheus-client (setup.py) ... done
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    Successfully built prometheus-client tornado pandocfilters backcall pyrsistent
    Installing collected packages: ipython-genutils, traitlets, jupyter-core, attrs, pyrsistent, more-itertools, zipp, importlib-metadata, jsonschema, nbformat, tornado, pyzmq, jupyter-client, wcwidth, prompt-toolkit, backcall, pickleshare, ptyprocess, pexpect, pygments, parso, jedi, ipython, ipykernel, terminado, Send2Trash, prometheus-client, entrypoints, defusedxml, testpath, pandocfilters, MarkupSafe, jinja2, webencodings, bleach, mistune, nbconvert, notebook, qtconsole, widgetsnbextension, ipywidgets, jupyter-console, jupyter
    Successfully installed MarkupSafe-1.1.1 Send2Trash-1.5.0 attrs-19.3.0 backcall-0.1.0 bleach-3.1.0 defusedxml-0.6.0 entrypoints-0.3 importlib-metadata-1.3.0 ipykernel-5.1.3 ipython-7.10.2 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.15.2 jinja2-2.10.3 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-5.3.4 jupyter-console-6.0.0 jupyter-core-4.6.1 mistune-0.8.4 more-itertools-8.0.2 nbconvert-5.6.1 nbformat-4.4.0 notebook-6.0.2 pandocfilters-1.4.2 parso-0.5.2 pexpect-4.7.0 pickleshare-0.7.5 prometheus-client-0.7.1 prompt-toolkit-2.0.10 ptyprocess-0.6.0 pygments-2.5.2 pyrsistent-0.15.6 pyzmq-18.1.1 qtconsole-4.6.0 terminado-0.8.3 testpath-0.4.4 tornado-6.0.3 traitlets-4.3.3 wcwidth-0.1.7 webencodings-0.5.1 widgetsnbextension-3.5.1 zipp-0.6.0
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ pip install six
    Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (1.13.0)
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ ls
    Anaconda3-5.1.0-Linux-x86_64.sh
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ git clone https://github.com/waleedka/coco.git
    Cloning into 'coco'...
    remote: Enumerating objects: 904, done.
    error: RPC failed; curl 56 GnuTLS recv error (-54): Error in the pull function.
    fatal: The remote end hung up unexpectedly
    fatal: early EOF
    fatal: index-pack failed
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ git clone https://github.com/waleedka/coco.git
    Cloning into 'coco'...
    remote: Enumerating objects: 904, done.
    remote: Total 904 (delta 0), reused 0 (delta 0), pack-reused 904
    Receiving objects: 100% (904/904), 10.38 MiB | 39.00 KiB/s, done.
    Resolving deltas: 100% (542/542), done.
    Checking connectivity... done.
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ ls
    Anaconda3-5.1.0-Linux-x86_64.sh  coco
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$
    (wind1) star@xmatrix:~/Anaconda$ cd coco
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$ ls
    common  license.txt  LuaAPI  MatlabAPI  PythonAPI  README.txt  results
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$
    (wind1) star@xmatrix:~/Anaconda/coco$ cd PythonAPI
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ ls
    Makefile  pycocoDemo.ipynb  pycocoEvalDemo.ipynb  pycocotools  setup.py
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python setup.py build_ext install
    Compiling pycocotools/_mask.pyx because it changed.
    [1/1] Cythonizing pycocotools/_mask.pyx
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /home/star/Anaconda/coco/PythonAPI/pycocotools/_mask.pyx
      tree = Parsing.p_module(s, pxd, full_module_name)
    running build_ext
    building 'pycocotools._mask' extension
    creating build
    creating build/temp.linux-x86_64-3.6
    creating build/temp.linux-x86_64-3.6/pycocotools
    creating build/common
    gcc -pthread -B /home/star/anaconda3/envs/wind1/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/star/anaconda3/envs/wind1/include/python3.6m -c pycocotools/_mask.c -o build/temp.linux-x86_64-3.6/pycocotools/_mask.o -Wno-cpp -Wno-unused-function -std=c99
    gcc -pthread -B /home/star/anaconda3/envs/wind1/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/numpy/core/include -I../common -I/home/star/anaconda3/envs/wind1/include/python3.6m -c ../common/maskApi.c -o build/temp.linux-x86_64-3.6/../common/maskApi.o -Wno-cpp -Wno-unused-function -std=c99
    creating build/lib.linux-x86_64-3.6
    creating build/lib.linux-x86_64-3.6/pycocotools
    gcc -pthread -shared -B /home/star/anaconda3/envs/wind1/compiler_compat -L/home/star/anaconda3/envs/wind1/lib -Wl,-rpath=/home/star/anaconda3/envs/wind1/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/pycocotools/_mask.o build/temp.linux-x86_64-3.6/../common/maskApi.o -o build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so
    running install
    running build
    running build_py
    copying pycocotools/cocoeval.py -> build/lib.linux-x86_64-3.6/pycocotools
    copying pycocotools/__init__.py -> build/lib.linux-x86_64-3.6/pycocotools
    copying pycocotools/coco.py -> build/lib.linux-x86_64-3.6/pycocotools
    copying pycocotools/mask.py -> build/lib.linux-x86_64-3.6/pycocotools
    running install_lib
    creating /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
    copying build/lib.linux-x86_64-3.6/pycocotools/cocoeval.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
    copying build/lib.linux-x86_64-3.6/pycocotools/__init__.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
    copying build/lib.linux-x86_64-3.6/pycocotools/coco.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
    copying build/lib.linux-x86_64-3.6/pycocotools/mask.py -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
    copying build/lib.linux-x86_64-3.6/pycocotools/_mask.cpython-36m-x86_64-linux-gnu.so -> /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools
    byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/cocoeval.py to cocoeval.cpython-36.pyc
    byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/__init__.py to __init__.cpython-36.pyc
    byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/coco.py to coco.cpython-36.pyc
    byte-compiling /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools/mask.py to mask.cpython-36.pyc
    running install_egg_info
    Writing /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/pycocotools-2.0-py3.6.egg-info
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$

    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ cat /usr/local/cuda/version.txt  
    CUDA Version 10.1.105
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$

    =========================================================================

    GPU

    VersionPython versionCompilerBuild toolscuDNNCUDA
    tensorflow-2.0.0 2.7, 3.3-3.7 GCC 7.3.1 Bazel 0.26.1 7.4 10.0
    tensorflow_gpu-1.14.0 2.7, 3.3-3.7 GCC 4.8 Bazel 0.24.1 7.4 10.0
    tensorflow_gpu-1.13.1 2.7, 3.3-3.7 GCC 4.8 Bazel 0.19.2 7.4 10.0
    tensorflow_gpu-1.12.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.15.0 7 9
    tensorflow_gpu-1.11.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.15.0 7 9
    tensorflow_gpu-1.10.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.15.0 7 9
    tensorflow_gpu-1.9.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.11.0 7 9
    tensorflow_gpu-1.8.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.10.0 7 9
    tensorflow_gpu-1.7.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.9.0 7 9
    tensorflow_gpu-1.6.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.9.0 7 9
    tensorflow_gpu-1.5.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.8.0 7 9
    tensorflow_gpu-1.4.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.5.4 6 8
    tensorflow_gpu-1.3.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.4.5 6 8
    tensorflow_gpu-1.2.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.4.5 5.1 8
    tensorflow_gpu-1.1.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.4.2 5.1 8
    tensorflow_gpu-1.0.0 2.7, 3.3-3.6 GCC 4.8 Bazel 0.4.2 5.1 8


    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install tensorflow-gpu==1.14.0
    Collecting tensorflow-gpu==1.14.0
      Downloading https://files.pythonhosted.org/packages/b1/8c/35ba6f94dd9729517b899c3ba764e604ffe22daeba04f7c771dd452ba55b/tensorflow_gpu-1.14.0-cp36-cp36m-manylinux1_x86_64.whl (209.2MB)
         |████████████████████████████████| 209.2MB 112kB/s
    Collecting absl-py>=0.1.6
      Downloading https://files.pythonhosted.org/packages/1a/53/9243c600e047bd4c3df9e69cfabc1e8004a82cac2e0c484580a78a94ba2a/absl-py-0.9.0.tar.gz (104kB)
         |████████████████████████████████| 112kB 2.5MB/s
    Collecting termcolor>=1.1.0
      Downloading https://files.pythonhosted.org/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz
    Requirement already satisfied: wheel>=0.26 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.6.0) (0.33.6)
    Collecting astor>=0.6.0
      Downloading https://files.pythonhosted.org/packages/c3/88/97eef84f48fa04fbd6750e62dcceafba6c63c81b7ac1420856c8dcc0a3f9/astor-0.8.1-py2.py3-none-any.whl
    Collecting tensorboard<1.7.0,>=1.6.0
      Downloading https://files.pythonhosted.org/packages/b0/67/a8c91665987d359211dcdca5c8b2a7c1e0876eb0702a4383c1e4ff76228d/tensorboard-1.6.0-py3-none-any.whl (3.0MB)
         |████████████████████████████████| 3.1MB 896kB/s
    Collecting protobuf>=3.4.0
      Downloading https://files.pythonhosted.org/packages/ca/ac/838c8c8a5f33a58132dd2ad2a30329f6ae1614a9f56ffb79eaaf71a9d156/protobuf-3.11.2-cp36-cp36m-manylinux1_x86_64.whl (1.3MB)
         |████████████████████████████████| 1.3MB 1.3MB/s
    Collecting grpcio>=1.8.6
      Downloading https://files.pythonhosted.org/packages/17/8f/f79c5c174bebece41f824dd7b1ba98da45dc2d4c373b38ac6a7f6a5acb5e/grpcio-1.26.0-cp36-cp36m-manylinux2010_x86_64.whl (2.4MB)
         |████████████████████████████████| 2.4MB 112kB/s
    Requirement already satisfied: numpy>=1.13.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.6.0) (1.17.4)
    Requirement already satisfied: six>=1.10.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.6.0) (1.13.0)
    Collecting gast>=0.2.0
      Downloading https://files.pythonhosted.org/packages/1f/04/4e36c33f8eb5c5b6c622a1f4859352a6acca7ab387257d4b3c191d23ec1d/gast-0.3.2.tar.gz
    Collecting werkzeug>=0.11.10
      Downloading https://files.pythonhosted.org/packages/ce/42/3aeda98f96e85fd26180534d36570e4d18108d62ae36f87694b476b83d6f/Werkzeug-0.16.0-py2.py3-none-any.whl (327kB)
         |████████████████████████████████| 327kB 1.3MB/s
    Collecting bleach==1.5.0
      Downloading https://files.pythonhosted.org/packages/33/70/86c5fec937ea4964184d4d6c4f0b9551564f821e1c3575907639036d9b90/bleach-1.5.0-py2.py3-none-any.whl
    Collecting html5lib==0.9999999
      Downloading https://files.pythonhosted.org/packages/ae/ae/bcb60402c60932b32dfaf19bb53870b29eda2cd17551ba5639219fb5ebf9/html5lib-0.9999999.tar.gz (889kB)
         |████████████████████████████████| 890kB 892kB/s
    Collecting markdown>=2.6.8
      Downloading https://files.pythonhosted.org/packages/c0/4e/fd492e91abdc2d2fcb70ef453064d980688762079397f779758e055f6575/Markdown-3.1.1-py2.py3-none-any.whl (87kB)
         |████████████████████████████████| 92kB 1.9MB/s
    Requirement already satisfied: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorflow-gpu==1.6.0) (42.0.2.post20191203)
    Building wheels for collected packages: absl-py, termcolor, gast, html5lib
      Building wheel for absl-py (setup.py) ... done
      Created wheel for absl-py: filename=absl_py-0.9.0-cp36-none-any.whl size=121931 sha256=853a0ae7726109a4dfae1cdeead114dc08ac22c2fe8d46ec0cc81814dacd1520
      Stored in directory: /home/star/.cache/pip/wheels/8e/28/49/fad4e7f0b9a1227708cbbee4487ac8558a7334849cb81c813d
      Building wheel for termcolor (setup.py) ... done
      Created wheel for termcolor: filename=termcolor-1.1.0-cp36-none-any.whl size=4832 sha256=70f3a7c691079a83853a9bf27aae505fdd604aaadeed7de397b1ce1a3988cdd0
      Stored in directory: /home/star/.cache/pip/wheels/7c/06/54/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6
      Building wheel for gast (setup.py) ... done
      Created wheel for gast: filename=gast-0.3.2-cp36-none-any.whl size=9679 sha256=aa59b3f7cf1a15ba0b0d794c1993042f91e81bb66309c74b911bdbae0117b172
      Stored in directory: /home/star/.cache/pip/wheels/59/38/c6/234dc39b4f6951a0768fbc02d5b7207137a5b1d9094f0d54bf
      Building wheel for html5lib (setup.py) ... done
      Created wheel for html5lib: filename=html5lib-0.9999999-cp36-none-any.whl size=107221 sha256=afd7e13e86064638b0b204da1d16743e7841487137a019b63276943c31dea371
      Stored in directory: /home/star/.cache/pip/wheels/50/ae/f9/d2b189788efcf61d1ee0e36045476735c838898eef1cad6e29
    Successfully built absl-py termcolor gast html5lib
    Installing collected packages: absl-py, termcolor, astor, werkzeug, html5lib, bleach, protobuf, markdown, tensorboard, grpcio, gast, tensorflow-gpu
      Found existing installation: bleach 3.1.0
        Uninstalling bleach-3.1.0:
          Successfully uninstalled bleach-3.1.0
    Successfully installed absl-py-0.9.0 astor-0.8.1 bleach-1.5.0 gast-0.3.2 grpcio-1.26.0 html5lib-0.9999999 markdown-3.1.1 protobuf-3.11.2 tensorboard-1.6.0 tensorflow-gpu-1.6.0 termcolor-1.1.0 werkzeug-0.16.0
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$

    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install --upgrade tensorflow-gpu==1.14.0
    Collecting tensorflow-gpu==1.14.0
      Downloading https://files.pythonhosted.org/packages/76/04/43153bfdfcf6c9a4c38ecdb971ca9a75b9a791bb69a764d652c359aca504/tensorflow_gpu-1.14.0-cp36-cp36m-manylinux1_x86_64.whl (377.0MB)
         |████████████████████████████████| 377.0MB 63kB/s
    Requirement already satisfied, skipping upgrade: six>=1.10.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.13.0)
    Requirement already satisfied, skipping upgrade: termcolor>=1.1.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.1.0)
    Requirement already satisfied, skipping upgrade: numpy<2.0,>=1.14.5 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.17.4)
    Requirement already satisfied, skipping upgrade: keras-preprocessing>=1.0.5 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.1.0)
    Requirement already satisfied, skipping upgrade: grpcio>=1.8.6 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.26.0)
    Requirement already satisfied, skipping upgrade: astor>=0.6.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.8.1)
    Collecting google-pasta>=0.1.6
      Downloading https://files.pythonhosted.org/packages/c3/fd/1e86bc4837cc9a3a5faf3db9b1854aa04ad35b5f381f9648fbe81a6f94e4/google_pasta-0.1.8-py3-none-any.whl (57kB)
         |████████████████████████████████| 61kB 6.9MB/s
    Requirement already satisfied, skipping upgrade: wheel>=0.26 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.33.6)
    Requirement already satisfied, skipping upgrade: keras-applications>=1.0.6 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (1.0.8)
    Requirement already satisfied, skipping upgrade: protobuf>=3.6.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (3.11.2)
    Collecting wrapt>=1.11.1
      Downloading https://files.pythonhosted.org/packages/23/84/323c2415280bc4fc880ac5050dddfb3c8062c2552b34c2e512eb4aa68f79/wrapt-1.11.2.tar.gz
    Requirement already satisfied, skipping upgrade: absl-py>=0.7.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.9.0)
    Collecting tensorboard<1.15.0,>=1.14.0
      Downloading https://files.pythonhosted.org/packages/91/2d/2ed263449a078cd9c8a9ba50ebd50123adf1f8cfbea1492f9084169b89d9/tensorboard-1.14.0-py3-none-any.whl (3.1MB)
         |████████████████████████████████| 3.2MB 3.0MB/s
    Requirement already satisfied, skipping upgrade: gast>=0.2.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorflow-gpu==1.14.0) (0.3.2)
    Collecting tensorflow-estimator<1.15.0rc0,>=1.14.0rc0
      Downloading https://files.pythonhosted.org/packages/3c/d5/21860a5b11caf0678fbc8319341b0ae21a07156911132e0e71bffed0510d/tensorflow_estimator-1.14.0-py2.py3-none-any.whl (488kB)
         |████████████████████████████████| 491kB 12.0MB/s
    Requirement already satisfied, skipping upgrade: h5py in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from keras-applications>=1.0.6->tensorflow-gpu==1.14.0) (2.10.0)
    Requirement already satisfied, skipping upgrade: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from protobuf>=3.6.1->tensorflow-gpu==1.14.0) (42.0.2.post20191203)
    Requirement already satisfied, skipping upgrade: markdown>=2.6.8 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow-gpu==1.14.0) (3.1.1)
    Requirement already satisfied, skipping upgrade: werkzeug>=0.11.15 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow-gpu==1.14.0) (0.16.0)
    Building wheels for collected packages: wrapt
      Building wheel for wrapt (setup.py) ... done
      Created wheel for wrapt: filename=wrapt-1.11.2-cp36-cp36m-linux_x86_64.whl size=66187 sha256=cf3c23bd5d7b52a943de89b1178be46c0da22aab37701b847c52715881a644eb
      Stored in directory: /home/star/.cache/pip/wheels/d7/de/2e/efa132238792efb6459a96e85916ef8597fcb3d2ae51590dfd
    Successfully built wrapt
    Installing collected packages: google-pasta, wrapt, tensorboard, tensorflow-estimator, tensorflow-gpu
      Found existing installation: tensorboard 1.6.0
        Uninstalling tensorboard-1.6.0:
          Successfully uninstalled tensorboard-1.6.0
      Found existing installation: tensorflow-gpu 1.6.0
        Uninstalling tensorflow-gpu-1.6.0:
          Successfully uninstalled tensorflow-gpu-1.6.0
    Successfully installed google-pasta-0.1.8 tensorboard-1.14.0 tensorflow-estimator-1.14.0 tensorflow-gpu-1.14.0 wrapt-1.11.2
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python
    Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
    [GCC 7.3.0] on linux
    Type "help", "copyright", "credits" or "license" for more information.
    >>>
    >>>
    >>>
    >>>
    >>>
    >>> import tensorflow as tf
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_qint8 = np.dtype([("qint8", np.int8, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_qint16 = np.dtype([("qint16", np.int16, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_qint32 = np.dtype([("qint32", np.int32, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      np_resource = np.dtype([("resource", np.ubyte, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_qint8 = np.dtype([("qint8", np.int8, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_qint16 = np.dtype([("qint16", np.int16, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      _np_qint32 = np.dtype([("qint32", np.int32, 1)])
    /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
      np_resource = np.dtype([("resource", np.ubyte, 1)])
    >>>
    >>>
    >>>
    >>>
    >>> exit()
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ numpy --version
    numpy: command not found
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python -c "import numpy;print(numpy.__version__)"
    1.17.4
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install --upgrade numpy==1.16.4
    Collecting numpy==1.16.4
      Downloading https://files.pythonhosted.org/packages/87/2d/e4656149cbadd3a8a0369fcd1a9c7d61cc7b87b3903b85389c70c989a696/numpy-1.16.4-cp36-cp36m-manylinux1_x86_64.whl (17.3MB)
         |████████████████████████████████| 17.3MB 999kB/s
    Installing collected packages: numpy
      Found existing installation: numpy 1.17.4
        Uninstalling numpy-1.17.4:
          Successfully uninstalled numpy-1.17.4
    Successfully installed numpy-1.16.4
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ python
    Python 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31)
    [GCC 7.3.0] on linux
    Type "help", "copyright", "credits" or "license" for more information.
    >>>
    >>>
    >>> import tensorflow as tf
    >>>
    >>> hello = tf.constant("Hello tensorflow")
    >>> sess1 = tf.Session()
    2019-12-22 16:00:39.194022: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
    2019-12-22 16:00:39.607314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
    name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
    pciBusID: 0000:02:00.0
    2019-12-22 16:00:39.607607: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
    2019-12-22 16:00:39.609172: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
    2019-12-22 16:00:39.623878: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
    2019-12-22 16:00:39.627907: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
    2019-12-22 16:00:39.629348: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
    2019-12-22 16:00:39.646260: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
    2019-12-22 16:00:39.649493: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
    2019-12-22 16:00:39.651180: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
    2019-12-22 16:00:39.651586: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
    2019-12-22 16:00:39.756348: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x559634bd2450 executing computations on platform CUDA. Devices:
    2019-12-22 16:00:39.756398: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Tesla P4, Compute Capability 6.1
    2019-12-22 16:00:39.778894: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3092805000 Hz
    2019-12-22 16:00:39.780564: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x559634c96e50 executing computations on platform Host. Devices:
    2019-12-22 16:00:39.780627: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): <undefined>, <undefined>
    2019-12-22 16:00:39.782487: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
    name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
    pciBusID: 0000:02:00.0
    2019-12-22 16:00:39.782591: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
    2019-12-22 16:00:39.782630: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
    2019-12-22 16:00:39.782661: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
    2019-12-22 16:00:39.782690: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
    2019-12-22 16:00:39.782718: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
    2019-12-22 16:00:39.782746: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
    2019-12-22 16:00:39.782775: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
    2019-12-22 16:00:39.785958: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
    2019-12-22 16:00:39.786036: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
    2019-12-22 16:00:39.787687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
    2019-12-22 16:00:39.787708: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      0
    2019-12-22 16:00:39.787717: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0:   N
    2019-12-22 16:00:39.789688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:02:00.0, compute capability: 6.1)
    >>> sess.run(hello)
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    NameError: name 'sess' is not defined
    >>>
    >>>
    >>> sess1.run(hello)
    b'Hello tensorflow'
    >>>
    >>>
    >>>
    >>>
    >>>
    >>> exit();
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install opencv-python
    Collecting opencv-python
      Downloading https://files.pythonhosted.org/packages/c0/a9/9828dfaf93f40e190ebfb292141df6b7ea1a2d57b46263e757f52be8589f/opencv_python-4.1.2.30-cp36-cp36m-manylinux1_x86_64.whl (28.3MB)
         |████████████████████████████████| 28.3MB 760kB/s
    Requirement already satisfied: numpy>=1.11.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from opencv-python) (1.16.4)
    Installing collected packages: opencv-python
    Successfully installed opencv-python-4.1.2.30
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$ pip install imgaug
    Collecting imgaug
      Using cached https://files.pythonhosted.org/packages/11/df/5a3bba95b4600d5ca7aff072082ef0d9837056dd28cc4e738e7ce88dd8f8/imgaug-0.3.0-py2.py3-none-any.whl
    Requirement already satisfied: Pillow in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (6.2.1)
    Requirement already satisfied: numpy>=1.15 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (1.16.4)
    Collecting opencv-python-headless
      Downloading https://files.pythonhosted.org/packages/5d/96/b2824df85d8c5f148125e4fee073a62fde17639502fe67042b212ebfe488/opencv_python_headless-4.1.2.30-cp36-cp36m-manylinux1_x86_64.whl (21.8MB)
         |████████████████████████████████| 21.8MB 4.3MB/s
    Requirement already satisfied: imageio in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (2.6.1)
    Requirement already satisfied: six in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (1.13.0)
    Requirement already satisfied: scikit-image>=0.14.2 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (0.16.2)
    Collecting Shapely
      Downloading https://files.pythonhosted.org/packages/38/b6/b53f19062afd49bb5abd049aeed36f13bf8d57ef8f3fa07a5203531a0252/Shapely-1.6.4.post2-cp36-cp36m-manylinux1_x86_64.whl (1.5MB)
         |████████████████████████████████| 1.5MB 11.8MB/s
    Requirement already satisfied: matplotlib in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (3.1.2)
    Requirement already satisfied: scipy in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from imgaug) (1.4.1)
    Requirement already satisfied: PyWavelets>=0.4.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image>=0.14.2->imgaug) (1.1.1)
    Requirement already satisfied: networkx>=2.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from scikit-image>=0.14.2->imgaug) (2.4)
    Requirement already satisfied: python-dateutil>=2.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (2.8.1)
    Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (2.4.5)
    Requirement already satisfied: kiwisolver>=1.0.1 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (1.1.0)
    Requirement already satisfied: cycler>=0.10 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from matplotlib->imgaug) (0.10.0)
    Requirement already satisfied: decorator>=4.3.0 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from networkx>=2.0->scikit-image>=0.14.2->imgaug) (4.4.1)
    Requirement already satisfied: setuptools in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib->imgaug) (42.0.2.post20191203)
    Installing collected packages: opencv-python-headless, Shapely, imgaug
    Successfully installed Shapely-1.6.4.post2 imgaug-0.3.0 opencv-python-headless-4.1.2.30
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Anaconda/coco/PythonAPI$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ python mask_2019122101.py
    Using TensorFlow backend.
    VIDEOIO ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV
    [ WARN:0] global /io/opencv/modules/videoio/src/cap_v4l.cpp (802) open VIDEOIO ERROR: V4L: can't open camera by index 0

    Configurations:
    BACKBONE                       resnet101
    BACKBONE_STRIDES               [4, 8, 16, 32, 64]
    BATCH_SIZE                     1
    BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
    COMPUTE_BACKBONE_SHAPE         None
    DETECTION_MAX_INSTANCES        100
    DETECTION_MIN_CONFIDENCE       0.7
    DETECTION_NMS_THRESHOLD        0.3
    FPN_CLASSIF_FC_LAYERS_SIZE     1024
    GPU_COUNT                      1
    GRADIENT_CLIP_NORM             5.0
    IMAGES_PER_GPU                 1
    IMAGE_MAX_DIM                  320
    IMAGE_META_SIZE                15
    IMAGE_MIN_DIM                  32
    IMAGE_MIN_SCALE                0
    IMAGE_RESIZE_MODE              square
    IMAGE_SHAPE                    [320 320   3]
    LEARNING_MOMENTUM              0.9
    LEARNING_RATE                  0.001
    LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
    MASK_POOL_SIZE                 14
    MASK_SHAPE                     [28, 28]
    MAX_GT_INSTANCES               100
    MEAN_PIXEL                     [123.7 116.8 103.9]
    MINI_MASK_SHAPE                (56, 56)
    NAME                           shapes
    NUM_CLASSES                    3
    POOL_SIZE                      7
    POST_NMS_ROIS_INFERENCE        1000
    POST_NMS_ROIS_TRAINING         2000
    ROI_POSITIVE_RATIO             0.33
    RPN_ANCHOR_RATIOS              [0.5, 1, 2]
    RPN_ANCHOR_SCALES              (48, 96, 192, 384, 768)
    RPN_ANCHOR_STRIDE              1
    RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
    RPN_NMS_THRESHOLD              0.7
    RPN_TRAIN_ANCHORS_PER_IMAGE    256
    STEPS_PER_EPOCH                50
    TOP_DOWN_PYRAMID_SIZE          256
    TRAIN_BN                       False
    TRAIN_ROIS_PER_IMAGE           100
    USE_MINI_MASK                  True
    USE_RPN_ROIS                   True
    VALIDATION_STEPS               10
    WEIGHT_DECAY                   0.0001


    WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

    WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:341: The name tf.log is deprecated. Please use tf.math.log instead.

    WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:399: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use tf.where in 2.0, which has the same broadcast rule as np.where
    WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:423: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
    Instructions for updating:
    box_ind is deprecated, use box_indices instead
    WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:723: The name tf.sets.set_intersection is deprecated. Please use tf.sets.intersection instead.

    WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:725: The name tf.sparse_tensor_to_dense is deprecated. Please use tf.sparse.to_dense instead.

    WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:775: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
    Instructions for updating:
    Use `tf.cast` instead.
    Traceback (most recent call last):
      File "mask_2019122101.py", line 151, in <module>
        cv2.namedWindow('RealSense1', cv2.WINDOW_AUTOSIZE)
    cv2.error: OpenCV(4.1.2) /io/opencv/modules/highgui/src/window.cpp:634: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvNamedWindow'

    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ pip install libgtk2.0-dev
    ERROR: Could not find a version that satisfies the requirement libgtk2.0-dev (from versions: none)
    ERROR: No matching distribution found for libgtk2.0-dev
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ pip install --upgrade opencv-python==3.6
    ERROR: Could not find a version that satisfies the requirement opencv-python==3.6 (from versions: 3.1.0.4, 3.1.0.5, 3.2.0.6, 3.2.0.7, 3.2.0.8, 3.3.0.9, 3.3.0.10, 3.3.1.11, 3.4.0.12, 3.4.0.14, 3.4.1.15, 3.4.2.16, 3.4.2.17, 3.4.3.18, 3.4.4.19, 3.4.5.20, 3.4.6.27, 3.4.7.28, 3.4.8.29, 4.0.0.21, 4.0.1.23, 4.0.1.24, 4.1.0.25, 4.1.1.26, 4.1.2.30)
    ERROR: No matching distribution found for opencv-python==3.6
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ pip install --upgrade opencv-python==3.4.6.27
    Collecting opencv-python==3.4.6.27
      Downloading https://files.pythonhosted.org/packages/67/ad/61fc70ccab6b902876943f0a5189956a8cb219ca53db67680110bfea05f0/opencv_python-3.4.6.27-cp36-cp36m-manylinux1_x86_64.whl (28.4MB)
         |████████████████████████████████| 28.4MB 451kB/s
    Requirement already satisfied, skipping upgrade: numpy>=1.11.3 in /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages (from opencv-python==3.4.6.27) (1.16.4)
    Installing collected packages: opencv-python
      Found existing installation: opencv-python 4.1.2.30
        Uninstalling opencv-python-4.1.2.30:
          Successfully uninstalled opencv-python-4.1.2.30
    Successfully installed opencv-python-3.4.6.27
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
    (wind1) star@xmatrix:~/Mask_RCNN_realsense_2$

    (wind1) star@xmatrix:~$
    (wind1) star@xmatrix:~$
    (wind1) star@xmatrix:~$ pip install --user pyrealsense2
    Collecting pyrealsense2
      Downloading https://files.pythonhosted.org/packages/e9/2b/ff8bab9b03950e151408291d68b5e78d22ea47adbf5e64e51ecc875e4907/pyrealsense2-2.31.0.1235-cp36-cp36m-manylinux1_x86_64.whl (9.2MB)
         |████████████████████████████████| 9.2MB 156kB/s
    Installing collected packages: pyrealsense2
    Successfully installed pyrealsense2-2.31.0.1235
    (wind1) star@xmatrix:~$
    (wind1) star@xmatrix:~$



    pylibrealsense2安装

    https://blog.csdn.net/qq_42393859/article/details/85044330

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  • 原文地址:https://www.cnblogs.com/herd/p/12079766.html
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