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개발환경 설정 - python 기반 - jupyter notebook/keras/tensorflow 본문

Computer Vision/Deep learning

개발환경 설정 - python 기반 - jupyter notebook/keras/tensorflow

오순발닦개 2021. 1. 12. 13:36


doa@odoaui-MacBookPro ~ % mkdir keras

doa@odoaui-MacBookPro ~ % cd keras

doa@odoaui-MacBookPro keras % pip install virtualenv

doa@odoaui-MacBookPro keras % virtualenv venv

doa@odoaui-MacBookPro keras % source venv/bin/activate

(venv) doa@odoaui-MacBookPro keras % pip install numpy   

(venv) doa@odoaui-MacBookPro keras % pip install scipy

(venv) doa@odoaui-MacBookPro keras % pip install scikit-learn

(venv) doa@odoaui-MacBookPro keras % pip install matplotlib

(venv) doa@odoaui-MacBookPro keras % pip install pandas

(venv) doa@odoaui-MacBookPro keras % pip install pydot

(venv) doa@odoaui-MacBookPro keras % pip install h5py

(venv) doa@odoaui-MacBookPro keras % brew install graphviz

(venv) doa@odoaui-MacBookPro keras % pip install theano

(venv) doa@odoaui-MacBookPro keras % pip install tensorflow

(venv) doa@odoaui-MacBookPro keras % pip install keras

(venv) doa@odoaui-MacBookPro keras % pip install --upgrade pip

(venv) doa@odoaui-MacBookPro keras % pip install jupyter notebook 

(venv) doa@odoaui-MacBookPro keras % jupyter notebook            \

 

 

 

커멘드

 

Last login: Tue Jan 12 10:28:28 on ttys000

doa@odoaui-MacBookPro ~ % mkdir keras

doa@odoaui-MacBookPro ~ % cd keras

doa@odoaui-MacBookPro keras % pip install virtualenv

Collecting virtualenv

  Downloading virtualenv-20.3.0-py2.py3-none-any.whl (5.7 MB)

     |████████████████████████████████| 5.7 MB 3.8 MB/s 

Requirement already satisfied: importlib-metadata>=0.12 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from virtualenv) (3.4.0)

Requirement already satisfied: six<2,>=1.9.0 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from virtualenv) (1.15.0)

Collecting appdirs<2,>=1.4.3

  Downloading appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)

Collecting distlib<1,>=0.3.1

  Downloading distlib-0.3.1-py2.py3-none-any.whl (335 kB)

     |████████████████████████████████| 335 kB 7.2 MB/s 

Collecting filelock<4,>=3.0.0

  Downloading filelock-3.0.12-py3-none-any.whl (7.6 kB)

Requirement already satisfied: zipp>=0.5 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from importlib-metadata>=0.12->virtualenv) (3.4.0)

Requirement already satisfied: typing-extensions>=3.6.4 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from importlib-metadata>=0.12->virtualenv) (3.7.4.3)

Installing collected packages: filelock, distlib, appdirs, virtualenv

Successfully installed appdirs-1.4.4 distlib-0.3.1 filelock-3.0.12 virtualenv-20.3.0

doa@odoaui-MacBookPro keras % virtualenv venv

created virtual environment CPython3.7.2.final.0-64 in 420ms

  creator CPython3Posix(dest=/Users/doa/keras/venv, clear=False, no_vcs_ignore=False, global=False)

  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/doa/Library/Application Support/virtualenv)

    added seed packages: pip==20.3.1, setuptools==51.0.0, wheel==0.36.1

  activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator

doa@odoaui-MacBookPro keras % source venv/bin.activate

source: no such file or directory: venv/bin.activate

doa@odoaui-MacBookPro keras % source venv/bin/activate

(venv) doa@odoaui-MacBookPro keras %  pip install numpy

$ pip install scipy

$ pip install scikit-learn

$ pip install matplotlib

$ pip install pandas

$ pip install pydot

$ pip install h5py

Collecting numpy

^[[A  Using cached numpy-1.19.5-cp37-cp37m-macosx_10_9_x86_64.whl (15.6 MB)

Installing collected packages: numpy

Successfully installed numpy-1.19.5

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

zsh: command not found: $

zsh: command not found: $

zsh: command not found: $

zsh: command not found: $

zsh: command not found: $

zsh: command not found: $

(venv) doa@odoaui-MacBookPro keras % pip install numpy   

Requirement already satisfied: numpy in ./venv/lib/python3.7/site-packages (1.19.5)

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install scipy

Collecting scipy

  Downloading scipy-1.6.0-cp37-cp37m-macosx_10_9_x86_64.whl (30.7 MB)

     |████████████████████████████████| 30.7 MB 13.9 MB/s 

Requirement already satisfied: numpy>=1.16.5 in ./venv/lib/python3.7/site-packages (from scipy) (1.19.5)

Installing collected packages: scipy

Successfully installed scipy-1.6.0

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install scikit-learn

Collecting scikit-learn

  Downloading scikit_learn-0.24.0-cp37-cp37m-macosx_10_9_x86_64.whl (7.2 MB)

     |████████████████████████████████| 7.2 MB 6.7 MB/s 

Requirement already satisfied: scipy>=0.19.1 in ./venv/lib/python3.7/site-packages (from scikit-learn) (1.6.0)

Requirement already satisfied: numpy>=1.13.3 in ./venv/lib/python3.7/site-packages (from scikit-learn) (1.19.5)

Collecting joblib>=0.11

  Downloading joblib-1.0.0-py3-none-any.whl (302 kB)

     |████████████████████████████████| 302 kB 12.2 MB/s 

Requirement already satisfied: numpy>=1.13.3 in ./venv/lib/python3.7/site-packages (from scikit-learn) (1.19.5)

Collecting threadpoolctl>=2.0.0

  Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB)

Installing collected packages: threadpoolctl, joblib, scikit-learn

Successfully installed joblib-1.0.0 scikit-learn-0.24.0 threadpoolctl-2.1.0

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install matplotlib

Collecting matplotlib

  Downloading matplotlib-3.3.3-cp37-cp37m-macosx_10_9_x86_64.whl (8.5 MB)

     |████████████████████████████████| 8.5 MB 9.6 MB/s 

Requirement already satisfied: numpy>=1.15 in ./venv/lib/python3.7/site-packages (from matplotlib) (1.19.5)

Collecting cycler>=0.10

  Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)

Collecting kiwisolver>=1.0.1

  Downloading kiwisolver-1.3.1-cp37-cp37m-macosx_10_9_x86_64.whl (61 kB)

     |████████████████████████████████| 61 kB 13.0 MB/s 

Collecting pillow>=6.2.0

  Downloading Pillow-8.1.0-cp37-cp37m-macosx_10_10_x86_64.whl (2.2 MB)

     |████████████████████████████████| 2.2 MB 14.8 MB/s 

Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3

  Downloading pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)

     |████████████████████████████████| 67 kB 9.8 MB/s 

Collecting python-dateutil>=2.1

  Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)

     |████████████████████████████████| 227 kB 18.7 MB/s 

Collecting six

  Using cached six-1.15.0-py2.py3-none-any.whl (10 kB)

Installing collected packages: six, python-dateutil, pyparsing, pillow, kiwisolver, cycler, matplotlib

Successfully installed cycler-0.10.0 kiwisolver-1.3.1 matplotlib-3.3.3 pillow-8.1.0 pyparsing-2.4.7 python-dateutil-2.8.1 six-1.15.0

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install pandas

Collecting pandas

  Downloading pandas-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (10.3 MB)

     |████████████████████████████████| 10.3 MB 8.4 MB/s 

Requirement already satisfied: python-dateutil>=2.7.3 in ./venv/lib/python3.7/site-packages (from pandas) (2.8.1)

Requirement already satisfied: numpy>=1.16.5 in ./venv/lib/python3.7/site-packages (from pandas) (1.19.5)

Requirement already satisfied: six>=1.5 in ./venv/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)

Collecting pytz>=2017.3

  Downloading pytz-2020.5-py2.py3-none-any.whl (510 kB)

     |████████████████████████████████| 510 kB 13.8 MB/s 

Installing collected packages: pytz, pandas

Successfully installed pandas-1.2.0 pytz-2020.5

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install pydot

Collecting pydot

  Downloading pydot-1.4.1-py2.py3-none-any.whl (19 kB)

Requirement already satisfied: pyparsing>=2.1.4 in ./venv/lib/python3.7/site-packages (from pydot) (2.4.7)

Installing collected packages: pydot

Successfully installed pydot-1.4.1

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install h5py

Collecting h5py

  Downloading h5py-3.1.0-cp37-cp37m-macosx_10_9_x86_64.whl (2.9 MB)

     |████████████████████████████████| 2.9 MB 4.7 MB/s 

Requirement already satisfied: numpy>=1.14.5 in ./venv/lib/python3.7/site-packages (from h5py) (1.19.5)

Collecting cached-property

  Downloading cached_property-1.5.2-py2.py3-none-any.whl (7.6 kB)

Installing collected packages: cached-property, h5py

Successfully installed cached-property-1.5.2 h5py-3.1.0

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % brew install graphviz

Updating Homebrew...

==> Auto-updated Homebrew!

Updated 3 taps (apenngrace/vulkan, homebrew/core and homebrew/cask).

==> New Formulae

bandit           driftctl         hblock           libvdpau         md4c             rttr             ykdl

cargo-audit      efm-langserver   indicators       libxml++@4       mermaid-cli      ruby@2.7         yq@3

cargo-watch      forge            jpeg-xl          libxml++@5       mockery          sqlc

counterfeiter    gallery-dl       keptn            logswan          ocaml-zarith     tctl

dnsx             grokj2k          libpinyin        lp_solve         openalpr         tgenv

dprint           h2spec           libva            massdns          pkger            xcb-util-cursor

==> Updated Formulae

Updated 4035 formulae.

==> Renamed Formulae

gtk+4 -> gtk4

==> Deleted Formulae

gobby                                                         godep

==> New Casks

accordance                     grid                           okta-advanced-server-access    spaceman

atemosc                        imobie-m1-app-checker          operator                       start

bluewallet                     intellidock                    oss-browser                    stringz

circuitjs1                     kekaexternalhelper             ray                            superslicer

colorwell                      little-navmap                  raycast                        tencent-docs

dyalog                         macfuse                        silicon                        ultdata

epoccam                        melonds                        silicon-info                   unclack

futubull                       miniforge                      sitesucker-pro

fvim                           munkiadmin                     smultron

==> Updated Casks

Updated 1342 casks.

==> Deleted Casks

eventstore                     gfortran                       jeromelebel-mongohub           openxcom

futuniuniu                     google-hangouts                kekadefaultapp                 scaleft

 

==> Downloading https://homebrew.bintray.com/bottles/libtiff-4.2.0.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/python%403.9-3.9.1_6.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/glib-2.66.4_1.catalina.bottle.1.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/jasper-2.0.24.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/netpbm-10.86.18.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/gts-0.7.6_2.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/cairo-1.16.0_4.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/gdk-pixbuf-2.42.2.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/harfbuzz-2.7.4.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/pango-1.48.0.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/librsvg-2.50.2.catalina.bottle.tar.gz

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==> Downloading https://homebrew.bintray.com/bottles/graphviz-2.44.1.catalina.bottle.1.tar.gz

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==> Installing dependencies for graphviz: libtiff, gd, libffi, tcl-tk, python@3.9, glib, jasper, netpbm, gts, cairo, gdk-pixbuf, harfbuzz, pango and librsvg

==> Installing graphviz dependency: libtiff

==> Pouring libtiff-4.2.0.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/libtiff/4.2.0: 248 files, 4.4MB

==> Installing graphviz dependency: gd

==> Pouring gd-2.3.0.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/gd/2.3.0: 34 files, 1.1MB

==> Installing graphviz dependency: libffi

==> Pouring libffi-3.3_1.catalina.bottle.tar.gz

==> Caveats

libffi is keg-only, which means it was not symlinked into /usr/local,

because macOS already provides this software and installing another version in

parallel can cause all kinds of trouble.

 

For compilers to find libffi you may need to set:

  export LDFLAGS="-L/usr/local/opt/libffi/lib"

  export CPPFLAGS="-I/usr/local/opt/libffi/include"

 

For pkg-config to find libffi you may need to set:

  export PKG_CONFIG_PATH="/usr/local/opt/libffi/lib/pkgconfig"

 

==> Summary

🍺  /usr/local/Cellar/libffi/3.3_1: 17 files, 540.6KB

==> Installing graphviz dependency: tcl-tk

==> Pouring tcl-tk-8.6.11.catalina.bottle.tar.gz

==> Caveats

tcl-tk is keg-only, which means it was not symlinked into /usr/local,

because macOS already provides this software and installing another version in

parallel can cause all kinds of trouble.

 

If you need to have tcl-tk first in your PATH run:

  echo 'export PATH="/usr/local/opt/tcl-tk/bin:$PATH"' >> ~/.zshrc

 

For compilers to find tcl-tk you may need to set:

  export LDFLAGS="-L/usr/local/opt/tcl-tk/lib"

  export CPPFLAGS="-I/usr/local/opt/tcl-tk/include"

 

For pkg-config to find tcl-tk you may need to set:

  export PKG_CONFIG_PATH="/usr/local/opt/tcl-tk/lib/pkgconfig"

 

==> Summary

🍺  /usr/local/Cellar/tcl-tk/8.6.11: 3,041 files, 51.6MB

==> Installing graphviz dependency: python@3.9

==> Pouring python@3.9-3.9.1_6.catalina.bottle.tar.gz

Error: The `brew link` step did not complete successfully

The formula built, but is not symlinked into /usr/local

Could not symlink bin/easy_install-3.9

Target /usr/local/bin/easy_install-3.9

is a symlink belonging to python@3.9. You can unlink it:

  brew unlink python@3.9

 

To force the link and overwrite all conflicting files:

  brew link --overwrite python@3.9

 

To list all files that would be deleted:

  brew link --overwrite --dry-run python@3.9

 

Possible conflicting files are:

/usr/local/bin/easy_install-3.9 -> /usr/local/Cellar/python@3.9/3.9.1/bin/easy_install-3.9

/usr/local/bin/idle3 -> /Library/Frameworks/Python.framework/Versions/3.8/bin/idle3

/usr/local/bin/pip3 -> /Library/Frameworks/Python.framework/Versions/3.8/bin/pip3

/usr/local/bin/pip3.9 -> /usr/local/Cellar/python@3.9/3.9.1/bin/pip3.9

/usr/local/bin/pydoc3 -> /Library/Frameworks/Python.framework/Versions/3.8/bin/pydoc3

/usr/local/bin/python3 -> /Library/Frameworks/Python.framework/Versions/3.8/bin/python3

/usr/local/bin/python3-config -> /Library/Frameworks/Python.framework/Versions/3.8/bin/python3-config

==> /usr/local/Cellar/python@3.9/3.9.1_6/bin/python3 -m ensurepip

==> /usr/local/Cellar/python@3.9/3.9.1_6/bin/pip3 install -v --global-option=--no-user-cfg --install-option=--force --insta

==> /usr/local/Cellar/python@3.9/3.9.1_6/bin/pip3 wheel --wheel-dir=/usr/local/Cellar/python@3.9/3.9.1_6/Frameworks/Python.

==> Caveats

Python has been installed as

  /usr/local/bin/python3

 

Unversioned symlinks `python`, `python-config`, `pip` etc. pointing to

`python3`, `python3-config`, `pip3` etc., respectively, have been installed into

  /usr/local/opt/python@3.9/libexec/bin

 

You can install Python packages with

  pip3 install <package>

They will install into the site-package directory

  /usr/local/lib/python3.9/site-packages

 

See: https://docs.brew.sh/Homebrew-and-Python

==> Summary

🍺  /usr/local/Cellar/python@3.9/3.9.1_6: 3,932 files, 65.4MB

==> Installing graphviz dependency: glib

==> Pouring glib-2.66.4_1.catalina.bottle.1.tar.gz

🍺  /usr/local/Cellar/glib/2.66.4_1: 441 files, 20.8MB

==> Installing graphviz dependency: jasper

==> Pouring jasper-2.0.24.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/jasper/2.0.24: 42 files, 1.5MB

==> Installing graphviz dependency: netpbm

==> Pouring netpbm-10.86.18.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/netpbm/10.86.18: 410 files, 17.7MB

==> Installing graphviz dependency: gts

==> Pouring gts-0.7.6_2.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/gts/0.7.6_2: 27 files, 1.1MB

==> Installing graphviz dependency: cairo

==> Pouring cairo-1.16.0_4.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/cairo/1.16.0_4: 119 files, 5.9MB

==> Installing graphviz dependency: gdk-pixbuf

==> Pouring gdk-pixbuf-2.42.2.catalina.bottle.tar.gz

==> /usr/local/Cellar/gdk-pixbuf/2.42.2/bin/gdk-pixbuf-query-loaders --update-cache

🍺  /usr/local/Cellar/gdk-pixbuf/2.42.2: 149 files, 3.8MB

==> Installing graphviz dependency: harfbuzz

==> Pouring harfbuzz-2.7.4.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/harfbuzz/2.7.4: 68 files, 6.7MB

==> Installing graphviz dependency: pango

==> Pouring pango-1.48.0.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/pango/1.48.0: 64 files, 3MB

==> Installing graphviz dependency: librsvg

==> Pouring librsvg-2.50.2.catalina.bottle.tar.gz

==> /usr/local/opt/gdk-pixbuf/bin/gdk-pixbuf-query-loaders --update-cache

🍺  /usr/local/Cellar/librsvg/2.50.2: 48 files, 141MB

==> Installing graphviz

==> Pouring graphviz-2.44.1.catalina.bottle.1.tar.gz

🍺  /usr/local/Cellar/graphviz/2.44.1: 508 files, 19.2MB

==> Upgrading 9 dependents:

ceres-solver 1.14.0_14 -> 2.0.0, ffmpeg 4.3.1_4 -> 4.3.1_8, ghostscript 9.53.3 -> 9.53.3_1, guile 3.0.4 -> 3.0.5, libheif 1.9.1 -> 1.10.0, imagemagick 7.0.10-48 -> 7.0.10-57, numpy 1.19.4 -> 1.19.5, opencv 4.5.0_5 -> 4.5.1_2, shared-mime-info 2.0 -> 2.1

==> Upgrading shared-mime-info 2.0 -> 2.1 

==> Downloading https://homebrew.bintray.com/bottles/shared-mime-info-2.1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/8cb87ae2f3014998ecebab2d8c37ac9ff364f1164417420c4d8778a38ca17d29

######################################################################## 100.0%

==> Pouring shared-mime-info-2.1.catalina.bottle.tar.gz

==> /usr/local/Cellar/shared-mime-info/2.1/bin/update-mime-database /usr/local/share/mime

🍺  /usr/local/Cellar/shared-mime-info/2.1: 86 files, 4.5MB

Removing: /usr/local/Cellar/shared-mime-info/2.0... (86 files, 4.4MB)

Removing: /Users/doa/Library/Caches/Homebrew/shared-mime-info--2.0.catalina.bottle.tar.gz... (1MB)

==> Upgrading ffmpeg 4.3.1_4 -> 4.3.1_8 

==> Downloading https://homebrew.bintray.com/bottles/dav1d-0.8.1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/3dfee035e136d79127501d4a22c169ab4b0a832a5300591a0145c075220bac91

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/bdw-gc-8.0.4_1.catalina.bottle.1.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/31634ad61ce92329e34154feb1ad14e4786592555ef9a14259a09ea0648d5af7

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/guile-3.0.5.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/18a97a127b757c021f8f3b7257306cac30efd055d1bde8cee88874d62b72d8b0

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/nettle-3.7.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/d36ac9557eea88d8bbc2395a722af383f51f15dba6d1334bff024134579be7f7

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/rav1e-0.3.5.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/5364867cd28ec604b94f9eea1f861be71ef7e0cc99bc0bc67cb1b4abeff15cb8

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/sdl2-2.0.14_1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/d6ae3300160c5bb495b78a5c5c0fc995f9e797e9cdd4b04ef77d59d45d2d694d

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/x265-3.4_2.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/c7be7296406476bf93e13580eab209646680bafaa5fb46d31cf491ef3e3f0a25

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/libsodium-1.0.18_1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/db372521cd0b1861a5b578bee22426f3a1f4f7cb3c382be1f842da4715dc65bd

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/zeromq-4.3.3_1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/5dbb8f4b8ffca7829eedea2a30ca8c85f98f03e221d9274ae9856d3b155fb5e0

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/zimg-3.0.1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/1b86d04d346e073a6f1f10de4df32d8ed38639589ab557f1ca926df3710cf7bf

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/ffmpeg-4.3.1_8.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/c11d8e31ab157bd7654ae06bd80981b98c9842cf0058af4db6c8d8e29b095ff1

######################################################################## 100.0%

==> Installing dependencies for ffmpeg: dav1d, bdw-gc, guile, nettle, rav1e, sdl2, x265, libsodium, zeromq and zimg

==> Installing ffmpeg dependency: dav1d

==> Pouring dav1d-0.8.1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/dav1d/0.8.1: 15 files, 1.5MB

==> Installing ffmpeg dependency: bdw-gc

==> Pouring bdw-gc-8.0.4_1.catalina.bottle.1.tar.gz

🍺  /usr/local/Cellar/bdw-gc/8.0.4_1: 69 files, 1.6MB

==> Installing ffmpeg dependency: guile

==> Pouring guile-3.0.5.catalina.bottle.tar.gz

==> Caveats

Guile libraries can now be installed here:

    Source files: /usr/local/share/guile/site/3.0

  Compiled files: /usr/local/lib/guile/3.0/site-ccache

      Extensions: /usr/local/lib/guile/3.0/extensions

 

Add the following to your .bashrc or equivalent:

  export GUILE_LOAD_PATH="/usr/local/share/guile/site/3.0"

  export GUILE_LOAD_COMPILED_PATH="/usr/local/lib/guile/3.0/site-ccache"

  export GUILE_SYSTEM_EXTENSIONS_PATH="/usr/local/lib/guile/3.0/extensions"

==> Summary

🍺  /usr/local/Cellar/guile/3.0.5: 834 files, 56.8MB

==> Installing ffmpeg dependency: nettle

==> Pouring nettle-3.7.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/nettle/3.7: 89 files, 2.7MB

==> Installing ffmpeg dependency: rav1e

==> Pouring rav1e-0.3.5.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/rav1e/0.3.5: 13 files, 59.8MB

==> Installing ffmpeg dependency: sdl2

==> Pouring sdl2-2.0.14_1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/sdl2/2.0.14_1: 91 files, 5MB

==> Installing ffmpeg dependency: x265

==> Pouring x265-3.4_2.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/x265/3.4_2: 11 files, 35.8MB

==> Installing ffmpeg dependency: libsodium

==> Pouring libsodium-1.0.18_1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/libsodium/1.0.18_1: 73 files, 1012.8KB

==> Installing ffmpeg dependency: zeromq

==> Pouring zeromq-4.3.3_1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/zeromq/4.3.3_1: 83 files, 5.9MB

==> Installing ffmpeg dependency: zimg

==> Pouring zimg-3.0.1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/zimg/3.0.1: 27 files, 2.2MB

==> Installing ffmpeg

==> Pouring ffmpeg-4.3.1_8.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/ffmpeg/4.3.1_8: 274 files, 55.3MB

Removing: /usr/local/Cellar/ffmpeg/4.3.1_4... (273 files, 55MB)

==> Upgrading ghostscript 9.53.3 -> 9.53.3_1 

==> Downloading https://homebrew.bintray.com/bottles/ghostscript-9.53.3_1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/cf523782d68ba11a936318c387118390277eb2edc3baeee21c7875cfea9857ad

######################################################################## 100.0%

==> Pouring ghostscript-9.53.3_1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/ghostscript/9.53.3_1: 668 files, 89.3MB

Removing: /usr/local/Cellar/ghostscript/9.53.3... (668 files, 89.3MB)

==> Upgrading guile 3.0.5 -> 3.0.5 

Removing: /usr/local/Cellar/guile/3.0.4... (830 files, 56.5MB)

==> Upgrading libheif 1.9.1 -> 1.10.0 

==> Downloading https://homebrew.bintray.com/bottles/libheif-1.10.0.catalina.bottle.1.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/977d0b6b904a292dad214bfbd3e44d9f1bd5ea5b308f69d96153208333a037f1

######################################################################## 100.0%

==> Pouring libheif-1.10.0.catalina.bottle.1.tar.gz

==> /usr/local/opt/shared-mime-info/bin/update-mime-database /usr/local/share/mime

🍺  /usr/local/Cellar/libheif/1.10.0: 25 files, 7.4MB

Removing: /usr/local/Cellar/libheif/1.9.1... (24 files, 2.5MB)

Removing: /Users/doa/Library/Caches/Homebrew/libheif--1.9.1.catalina.bottle.tar.gz... (1.2MB)

==> Upgrading imagemagick 7.0.10-48 -> 7.0.10-57 

==> Downloading https://homebrew.bintray.com/bottles/ilmbase-2.5.4.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/dc14e8650e42b22189ce338e9c8593dd29a81c68d1a915e104651a97b3f1f7ab

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/openexr-2.5.4.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/8f146ff213eda72a32613ba36649a865848786c0e843fc6a39e58bdeafebcb31

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/imagemagick-7.0.10-57.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/7936d7d8f54d6716f54b9b29dbe763a6513ff2225c8576e58a5ff3913946a1de

######################################################################## 100.0%

==> Installing dependencies for imagemagick: ilmbase and openexr

==> Installing imagemagick dependency: ilmbase

==> Pouring ilmbase-2.5.4.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/ilmbase/2.5.4: 87 files, 1.8MB

==> Installing imagemagick dependency: openexr

==> Pouring openexr-2.5.4.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/openexr/2.5.4: 152 files, 6.9MB

==> Installing imagemagick

==> Pouring imagemagick-7.0.10-57.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/imagemagick/7.0.10-57: 797 files, 29.8MB

Removing: /usr/local/Cellar/imagemagick/7.0.10-48... (797 files, 29.7MB)

Removing: /Users/doa/Library/Caches/Homebrew/imagemagick--7.0.10-48.catalina.bottle.tar.gz... (10.0MB)

==> Upgrading numpy 1.19.4 -> 1.19.5 

==> Downloading https://homebrew.bintray.com/bottles/isl-0.23.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/bb4c986e9f49c7eea6349a536889e6223549885c0aab3d7692542cd48bc06481

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/gcc-10.2.0_2.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/4c17591306a2c233bdb9c469ceec3057a1b76ac4d194942737c322ffc22cb440

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/openblas-0.3.13.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/71191dd65059b73a8dffea7f55c06a3bcaefa27cf0946116f63efd6f976ee9fd

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/numpy-1.19.5.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/1d336f68b7bfacfbd57e3b348ffacdb842e418ba219914549547982c2765d949

######################################################################## 100.0%

==> Installing dependencies for numpy: isl, gcc and openblas

==> Installing numpy dependency: isl

==> Pouring isl-0.23.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/isl/0.23: 72 files, 4.8MB

==> Installing numpy dependency: gcc

==> Pouring gcc-10.2.0_2.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/gcc/10.2.0_2: 1,465 files, 339.5MB

==> Installing numpy dependency: openblas

==> Pouring openblas-0.3.13.catalina.bottle.tar.gz

==> Caveats

openblas is keg-only, which means it was not symlinked into /usr/local,

because macOS provides BLAS in Accelerate.framework.

 

For compilers to find openblas you may need to set:

  export LDFLAGS="-L/usr/local/opt/openblas/lib"

  export CPPFLAGS="-I/usr/local/opt/openblas/include"

 

For pkg-config to find openblas you may need to set:

  export PKG_CONFIG_PATH="/usr/local/opt/openblas/lib/pkgconfig"

 

==> Summary

🍺  /usr/local/Cellar/openblas/0.3.13: 23 files, 120.1MB

==> Installing numpy

==> Pouring numpy-1.19.5.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/numpy/1.19.5: 491 files, 16.3MB

Removing: /usr/local/Cellar/numpy/1.19.4... (491 files, 16.3MB)

Removing: /Users/doa/Library/Caches/Homebrew/numpy--1.19.4.catalina.bottle.tar.gz... (4.2MB)

==> Upgrading opencv 4.5.0_5 -> 4.5.1_2 

==> Downloading https://homebrew.bintray.com/bottles/ceres-solver-2.0.0.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/899895707bdc81ab3f52e9cf3ac06ac9f39139fcb9d171c09181b13cc8510b83

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/boost-1.75.0_1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/2da721bd2fefaaea273ed92b801e682ee180100189c113a8c8f1e97f9dff0e55

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/glew-2.2.0_1.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/d3113b746275f48d4f50316c9ddf0ce27e7a11e20ffaac33dd1a2aaf9e59d52a

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/netcdf-4.7.4_2.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/b3aeca909a91b47e8e0d3fdc9d209dd13ecfb2b1879bab5ea49d3dcfd6404ddd

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/pugixml-1.11.4_2.catalina.bottle.tar.gz

######################################################################## 100.0%

==> Downloading https://homebrew.bintray.com/bottles/opencv-4.5.1_2.catalina.bottle.tar.gz

==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/c551de54ea263f94421a42bea6824196abc713fa454d0b8a841818466263e080

######################################################################## 100.0%

==> Installing dependencies for opencv: ceres-solver, boost, glew, netcdf and pugixml

==> Installing opencv dependency: ceres-solver

==> Pouring ceres-solver-2.0.0.catalina.bottle.tar.gz

Warning: ceres-solver dependency gcc was built with a different C++ standard

library (libstdc++ from clang). This may cause problems at runtime.

🍺  /usr/local/Cellar/ceres-solver/2.0.0: 263 files, 20.5MB

==> Installing opencv dependency: boost

==> Pouring boost-1.75.0_1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/boost/1.75.0_1: 15,058 files, 524.2MB

==> Installing opencv dependency: glew

==> Pouring glew-2.2.0_1.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/glew/2.2.0_1: 38 files, 3.4MB

==> Installing opencv dependency: netcdf

==> Pouring netcdf-4.7.4_2.catalina.bottle.tar.gz

Warning: netcdf dependency gcc was built with a different C++ standard

library (libstdc++ from clang). This may cause problems at runtime.

🍺  /usr/local/Cellar/netcdf/4.7.4_2: 90 files, 6.4MB

==> Installing opencv dependency: pugixml

==> Pouring pugixml-1.11.4_2.catalina.bottle.tar.gz

🍺  /usr/local/Cellar/pugixml/1.11.4_2: 15 files, 448.1KB

==> Installing opencv

==> Pouring opencv-4.5.1_2.catalina.bottle.tar.gz

Warning: opencv dependency gcc was built with a different C++ standard

library (libstdc++ from clang). This may cause problems at runtime.

🍺  /usr/local/Cellar/opencv/4.5.1_2: 818 files, 228.2MB

Removing: /usr/local/Cellar/opencv/4.5.0_5... (807 files, 235.4MB)

Removing: /Users/doa/Library/Caches/Homebrew/opencv--4.5.0_2.catalina.bottle.tar.gz... (81.7MB)

Removing: /Users/doa/Library/Caches/Homebrew/opencv--4.5.0_5.catalina.bottle.tar.gz... (81.7MB)

==> Upgrading ceres-solver 2.0.0 -> 2.0.0 

Removing: /usr/local/Cellar/ceres-solver/1.14.0_14... (243 files, 12.2MB)

Removing: /Users/doa/Library/Caches/Homebrew/ceres-solver--1.14.0_13.catalina.bottle.tar.gz... (4.4MB)

Removing: /Users/doa/Library/Caches/Homebrew/ceres-solver--1.14.0_14.catalina.bottle.tar.gz... (4.4MB)

==> Checking for dependents of upgraded formulae...

==> No broken dependents found!

==> Caveats

==> libffi

libffi is keg-only, which means it was not symlinked into /usr/local,

because macOS already provides this software and installing another version in

parallel can cause all kinds of trouble.

 

For compilers to find libffi you may need to set:

  export LDFLAGS="-L/usr/local/opt/libffi/lib"

  export CPPFLAGS="-I/usr/local/opt/libffi/include"

 

For pkg-config to find libffi you may need to set:

  export PKG_CONFIG_PATH="/usr/local/opt/libffi/lib/pkgconfig"

 

==> tcl-tk

tcl-tk is keg-only, which means it was not symlinked into /usr/local,

because macOS already provides this software and installing another version in

parallel can cause all kinds of trouble.

 

If you need to have tcl-tk first in your PATH run:

  echo 'export PATH="/usr/local/opt/tcl-tk/bin:$PATH"' >> ~/.zshrc

 

For compilers to find tcl-tk you may need to set:

  export LDFLAGS="-L/usr/local/opt/tcl-tk/lib"

  export CPPFLAGS="-I/usr/local/opt/tcl-tk/include"

 

For pkg-config to find tcl-tk you may need to set:

  export PKG_CONFIG_PATH="/usr/local/opt/tcl-tk/lib/pkgconfig"

 

==> python@3.9

Python has been installed as

  /usr/local/bin/python3

 

Unversioned symlinks `python`, `python-config`, `pip` etc. pointing to

`python3`, `python3-config`, `pip3` etc., respectively, have been installed into

  /usr/local/opt/python@3.9/libexec/bin

 

You can install Python packages with

  pip3 install <package>

They will install into the site-package directory

  /usr/local/lib/python3.9/site-packages

 

See: https://docs.brew.sh/Homebrew-and-Python

==> guile

Guile libraries can now be installed here:

    Source files: /usr/local/share/guile/site/3.0

  Compiled files: /usr/local/lib/guile/3.0/site-ccache

      Extensions: /usr/local/lib/guile/3.0/extensions

 

Add the following to your .bashrc or equivalent:

  export GUILE_LOAD_PATH="/usr/local/share/guile/site/3.0"

  export GUILE_LOAD_COMPILED_PATH="/usr/local/lib/guile/3.0/site-ccache"

  export GUILE_SYSTEM_EXTENSIONS_PATH="/usr/local/lib/guile/3.0/extensions"

==> openblas

openblas is keg-only, which means it was not symlinked into /usr/local,

because macOS provides BLAS in Accelerate.framework.

 

For compilers to find openblas you may need to set:

  export LDFLAGS="-L/usr/local/opt/openblas/lib"

  export CPPFLAGS="-I/usr/local/opt/openblas/include"

 

For pkg-config to find openblas you may need to set:

  export PKG_CONFIG_PATH="/usr/local/opt/openblas/lib/pkgconfig"

 

(venv) doa@odoaui-MacBookPro keras % pip install theano

Collecting theano

  Downloading Theano-1.0.5.tar.gz (2.8 MB)

     |████████████████████████████████| 2.8 MB 1.7 MB/s 

Requirement already satisfied: numpy>=1.9.1 in ./venv/lib/python3.7/site-packages (from theano) (1.19.5)

Requirement already satisfied: scipy>=0.14 in ./venv/lib/python3.7/site-packages (from theano) (1.6.0)

Requirement already satisfied: six>=1.9.0 in ./venv/lib/python3.7/site-packages (from theano) (1.15.0)

Requirement already satisfied: numpy>=1.9.1 in ./venv/lib/python3.7/site-packages (from theano) (1.19.5)

Building wheels for collected packages: theano

  Building wheel for theano (setup.py) ... done

  Created wheel for theano: filename=Theano-1.0.5-py3-none-any.whl size=2668094 sha256=0c046cc5467e15dc47a3725e94aae080c389c5d9defaed60e95648c9b35de4ea

  Stored in directory: /Users/doa/Library/Caches/pip/wheels/26/68/6f/745330367ce7822fe0cd863712858151f5723a0a5e322cc144

Successfully built theano

Installing collected packages: theano

Successfully installed theano-1.0.5

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install tensorflow

Collecting tensorflow

  Using cached tensorflow-2.4.0-cp37-cp37m-macosx_10_11_x86_64.whl (175.4 MB)

Requirement already satisfied: wheel~=0.35 in ./venv/lib/python3.7/site-packages (from tensorflow) (0.36.1)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Requirement already satisfied: numpy~=1.19.2 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.19.5)

Collecting absl-py~=0.10

  Using cached absl_py-0.11.0-py3-none-any.whl (127 kB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Collecting astunparse~=1.6.3

  Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Requirement already satisfied: wheel~=0.35 in ./venv/lib/python3.7/site-packages (from tensorflow) (0.36.1)

Collecting flatbuffers~=1.12.0

  Using cached flatbuffers-1.12-py2.py3-none-any.whl (15 kB)

Collecting gast==0.3.3

  Using cached gast-0.3.3-py2.py3-none-any.whl (9.7 kB)

Collecting google-pasta~=0.2

  Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Collecting grpcio~=1.32.0

  Using cached grpcio-1.32.0-cp37-cp37m-macosx_10_9_x86_64.whl (3.3 MB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Collecting h5py~=2.10.0

  Downloading h5py-2.10.0-cp37-cp37m-macosx_10_6_intel.whl (3.0 MB)

     |████████████████████████████████| 3.0 MB 1.9 MB/s 

Requirement already satisfied: numpy~=1.19.2 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.19.5)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Collecting keras-preprocessing~=1.1.2

  Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Requirement already satisfied: numpy~=1.19.2 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.19.5)

Collecting opt-einsum~=3.3.0

  Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)

Requirement already satisfied: numpy~=1.19.2 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.19.5)

Collecting protobuf>=3.9.2

  Using cached protobuf-3.14.0-cp37-cp37m-macosx_10_9_x86_64.whl (1.0 MB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Collecting tensorboard~=2.4

  Using cached tensorboard-2.4.0-py3-none-any.whl (10.6 MB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Requirement already satisfied: setuptools>=41.0.0 in ./venv/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow) (51.0.0)

Requirement already satisfied: wheel~=0.35 in ./venv/lib/python3.7/site-packages (from tensorflow) (0.36.1)

Requirement already satisfied: numpy~=1.19.2 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.19.5)

Collecting google-auth<2,>=1.6.3

  Using cached google_auth-1.24.0-py2.py3-none-any.whl (114 kB)

Requirement already satisfied: six~=1.15.0 in ./venv/lib/python3.7/site-packages (from tensorflow) (1.15.0)

Requirement already satisfied: setuptools>=41.0.0 in ./venv/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow) (51.0.0)

Collecting cachetools<5.0,>=2.0.0

  Using cached cachetools-4.2.0-py3-none-any.whl (12 kB)

Collecting google-auth-oauthlib<0.5,>=0.4.1

  Using cached google_auth_oauthlib-0.4.2-py2.py3-none-any.whl (18 kB)

Collecting markdown>=2.6.8

  Using cached Markdown-3.3.3-py3-none-any.whl (96 kB)

Collecting importlib-metadata

  Using cached importlib_metadata-3.4.0-py3-none-any.whl (10 kB)

Collecting pyasn1-modules>=0.2.1

  Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)

Collecting pyasn1<0.5.0,>=0.4.6

  Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)

Collecting requests<3,>=2.21.0

  Using cached requests-2.25.1-py2.py3-none-any.whl (61 kB)

Collecting certifi>=2017.4.17

  Using cached certifi-2020.12.5-py2.py3-none-any.whl (147 kB)

Collecting chardet<5,>=3.0.2

  Using cached chardet-4.0.0-py2.py3-none-any.whl (178 kB)

Collecting idna<3,>=2.5

  Using cached idna-2.10-py2.py3-none-any.whl (58 kB)

Collecting requests-oauthlib>=0.7.0

  Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)

Collecting oauthlib>=3.0.0

  Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)

Collecting rsa<5,>=3.1.4

  Using cached rsa-4.7-py3-none-any.whl (34 kB)

Collecting tensorboard-plugin-wit>=1.6.0

  Using cached tensorboard_plugin_wit-1.7.0-py3-none-any.whl (779 kB)

Collecting tensorflow-estimator<2.5.0,>=2.4.0rc0

  Using cached tensorflow_estimator-2.4.0-py2.py3-none-any.whl (462 kB)

Collecting termcolor~=1.1.0

  Using cached termcolor-1.1.0.tar.gz (3.9 kB)

Collecting typing-extensions~=3.7.4

  Using cached typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)

Collecting urllib3<1.27,>=1.21.1

  Using cached urllib3-1.26.2-py2.py3-none-any.whl (136 kB)

Collecting werkzeug>=0.11.15

  Using cached Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)

Collecting wrapt~=1.12.1

  Using cached wrapt-1.12.1.tar.gz (27 kB)

Collecting zipp>=0.5

  Using cached zipp-3.4.0-py3-none-any.whl (5.2 kB)

Building wheels for collected packages: termcolor, wrapt

  Building wheel for termcolor (setup.py) ... done

  Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4832 sha256=192d16a86c25bfd5dc825b09f78d775ba3e8e8b228e36a5c5f6184075c270dcf

  Stored in directory: /Users/doa/Library/Caches/pip/wheels/3f/e3/ec/8a8336ff196023622fbcb36de0c5a5c218cbb24111d1d4c7f2

  Building wheel for wrapt (setup.py) ... done

  Created wheel for wrapt: filename=wrapt-1.12.1-cp37-cp37m-macosx_10_9_x86_64.whl size=32552 sha256=201152261d1e47d2423a5e7ffb5803b9acb4c3cf0a277c641c99f9068d2d738d

  Stored in directory: /Users/doa/Library/Caches/pip/wheels/62/76/4c/aa25851149f3f6d9785f6c869387ad82b3fd37582fa8147ac6

Successfully built termcolor wrapt

Installing collected packages: urllib3, pyasn1, idna, chardet, certifi, zipp, typing-extensions, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, importlib-metadata, google-auth, werkzeug, tensorboard-plugin-wit, protobuf, markdown, grpcio, google-auth-oauthlib, absl-py, wrapt, termcolor, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow

  Attempting uninstall: h5py

    Found existing installation: h5py 3.1.0

    Uninstalling h5py-3.1.0:

      Successfully uninstalled h5py-3.1.0

Successfully installed absl-py-0.11.0 astunparse-1.6.3 cachetools-4.2.0 certifi-2020.12.5 chardet-4.0.0 flatbuffers-1.12 gast-0.3.3 google-auth-1.24.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.32.0 h5py-2.10.0 idna-2.10 importlib-metadata-3.4.0 keras-preprocessing-1.1.2 markdown-3.3.3 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.14.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7 tensorboard-2.4.0 tensorboard-plugin-wit-1.7.0 tensorflow-2.4.0 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.2 werkzeug-1.0.1 wrapt-1.12.1 zipp-3.4.0

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % pip install keras

Collecting keras

  Using cached Keras-2.4.3-py2.py3-none-any.whl (36 kB)

Requirement already satisfied: scipy>=0.14 in ./venv/lib/python3.7/site-packages (from keras) (1.6.0)

Requirement already satisfied: numpy>=1.9.1 in ./venv/lib/python3.7/site-packages (from keras) (1.19.5)

Requirement already satisfied: h5py in ./venv/lib/python3.7/site-packages (from keras) (2.10.0)

Requirement already satisfied: numpy>=1.9.1 in ./venv/lib/python3.7/site-packages (from keras) (1.19.5)

Requirement already satisfied: six in ./venv/lib/python3.7/site-packages (from h5py->keras) (1.15.0)

Collecting pyyaml

  Using cached PyYAML-5.3.1.tar.gz (269 kB)

Requirement already satisfied: numpy>=1.9.1 in ./venv/lib/python3.7/site-packages (from keras) (1.19.5)

Building wheels for collected packages: pyyaml

  Building wheel for pyyaml (setup.py) ... done

  Created wheel for pyyaml: filename=PyYAML-5.3.1-cp37-cp37m-macosx_10_9_x86_64.whl size=44625 sha256=ec6d5e9379dd42ac5a206a9dee27a6cde60e0c311bc11a09270da2e11828aee2

  Stored in directory: /Users/doa/Library/Caches/pip/wheels/5e/03/1e/e1e954795d6f35dfc7b637fe2277bff021303bd9570ecea653

Successfully built pyyaml

Installing collected packages: pyyaml, keras

Successfully installed keras-2.4.3 pyyaml-5.3.1

WARNING: You are using pip version 20.3.1; however, version 20.3.3 is available.

You should consider upgrading via the '/Users/doa/keras/venv/bin/python -m pip install --upgrade pip' command.

(venv) doa@odoaui-MacBookPro keras % git clone https://github.com/keras-team/keras

Cloning into 'keras'...

remote: Enumerating objects: 81, done.

remote: Counting objects: 100% (81/81), done.

remote: Compressing objects: 100% (66/66), done.

remote: Total 34228 (delta 22), reused 29 (delta 15), pack-reused 34147

Receiving objects: 100% (34228/34228), 15.30 MiB | 5.97 MiB/s, done.

Resolving deltas: 100% (24693/24693), done.

(venv) doa@odoaui-MacBookPro keras % cd keras

(venv) doa@odoaui-MacBookPro keras % cd keras

(venv) doa@odoaui-MacBookPro keras % python setup.py install

/Library/Frameworks/Python.framework/Versions/3.7/Resources/Python.app/Contents/MacOS/Python: can't open file 'setup.py': [Errno 2] No such file or directory

(venv) doa@odoaui-MacBookPro keras % jupyter notebook             

zsh: command not found: jupyter

(venv) doa@odoaui-MacBookPro keras % pip install ipython[notebook]

zsh: no matches found: ipython[notebook]

(venv) doa@odoaui-MacBookPro keras % pip install --upgrade pip

Requirement already satisfied: pip in /Users/doa/keras/venv/lib/python3.7/site-packages (20.3.1)

Collecting pip

  Using cached pip-20.3.3-py2.py3-none-any.whl (1.5 MB)

Installing collected packages: pip

  Attempting uninstall: pip

    Found existing installation: pip 20.3.1

    Uninstalling pip-20.3.1:

      Successfully uninstalled pip-20.3.1

Successfully installed pip-20.3.3

(venv) doa@odoaui-MacBookPro keras % pip install ipython[notebook]

zsh: no matches found: ipython[notebook]

(venv) doa@odoaui-MacBookPro keras % jupyter notebook

zsh: command not found: jupyter

(venv) doa@odoaui-MacBookPro keras % pip install jupyter notebook 

Collecting jupyter

  Downloading jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)

Collecting notebook

  Downloading notebook-6.1.6-py3-none-any.whl (9.5 MB)

     |████████████████████████████████| 9.5 MB 17.3 MB/s 

Collecting jupyter-client>=5.3.4

  Downloading jupyter_client-6.1.11-py3-none-any.whl (108 kB)

     |████████████████████████████████| 108 kB 20.9 MB/s 

Requirement already satisfied: python-dateutil>=2.1 in /Users/doa/keras/venv/lib/python3.7/site-packages (from jupyter-client>=5.3.4->notebook) (2.8.1)

Collecting jupyter-core>=4.6.1

  Downloading jupyter_core-4.7.0-py3-none-any.whl (82 kB)

     |████████████████████████████████| 82 kB 3.7 MB/s 

Requirement already satisfied: six>=1.5 in /Users/doa/keras/venv/lib/python3.7/site-packages (from python-dateutil>=2.1->jupyter-client>=5.3.4->notebook) (1.15.0)

Collecting pyzmq>=17

  Downloading pyzmq-20.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (808 kB)

     |████████████████████████████████| 808 kB 14.1 MB/s 

Collecting terminado>=0.8.3

  Downloading terminado-0.9.2-py3-none-any.whl (14 kB)

Collecting tornado>=5.0

  Downloading tornado-6.1-cp37-cp37m-macosx_10_9_x86_64.whl (416 kB)

     |████████████████████████████████| 416 kB 10.7 MB/s 

Collecting traitlets>=4.2.1

  Downloading traitlets-5.0.5-py3-none-any.whl (100 kB)

     |████████████████████████████████| 100 kB 11.1 MB/s 

Collecting argon2-cffi

  Downloading argon2_cffi-20.1.0-cp37-abi3-macosx_10_6_intel.whl (65 kB)

     |████████████████████████████████| 65 kB 10.6 MB/s 

Collecting cffi>=1.0.0

  Downloading cffi-1.14.4-cp37-cp37m-macosx_10_9_x86_64.whl (176 kB)

     |████████████████████████████████| 176 kB 19.5 MB/s 

Collecting ipykernel

  Downloading ipykernel-5.4.3-py3-none-any.whl (120 kB)

     |████████████████████████████████| 120 kB 18.2 MB/s 

Collecting ipython>=5.0.0

  Downloading ipython-7.19.0-py3-none-any.whl (784 kB)

     |████████████████████████████████| 784 kB 12.2 MB/s 

Requirement already satisfied: setuptools>=18.5 in /Users/doa/keras/venv/lib/python3.7/site-packages (from ipython>=5.0.0->ipykernel->jupyter) (51.0.0)

Collecting jedi>=0.10

  Downloading jedi-0.18.0-py2.py3-none-any.whl (1.4 MB)

     |████████████████████████████████| 1.4 MB 9.8 MB/s 

Collecting parso<0.9.0,>=0.8.0

  Downloading parso-0.8.1-py2.py3-none-any.whl (93 kB)

     |████████████████████████████████| 93 kB 6.4 MB/s 

Collecting pexpect>4.3

  Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB)

     |████████████████████████████████| 59 kB 12.8 MB/s 

Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0

  Downloading prompt_toolkit-3.0.10-py3-none-any.whl (355 kB)

     |████████████████████████████████| 355 kB 19.3 MB/s 

Collecting ptyprocess

  Downloading ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB)

Collecting appnope

  Downloading appnope-0.1.2-py2.py3-none-any.whl (4.3 kB)

Collecting backcall

  Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB)

Collecting decorator

  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB)

Collecting ipython-genutils

  Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB)

Collecting ipywidgets

  Downloading ipywidgets-7.6.3-py2.py3-none-any.whl (121 kB)

     |████████████████████████████████| 121 kB 13.3 MB/s 

Collecting jupyterlab-widgets>=1.0.0

  Downloading jupyterlab_widgets-1.0.0-py3-none-any.whl (243 kB)

     |████████████████████████████████| 243 kB 18.0 MB/s 

Collecting nbformat

  Downloading nbformat-5.0.8-py3-none-any.whl (172 kB)

     |████████████████████████████████| 172 kB 5.6 MB/s 

Collecting jsonschema!=2.5.0,>=2.4

  Downloading jsonschema-3.2.0-py2.py3-none-any.whl (56 kB)

     |████████████████████████████████| 56 kB 10.1 MB/s 

Requirement already satisfied: importlib-metadata in /Users/doa/keras/venv/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat->notebook) (3.4.0)

Collecting attrs>=17.4.0

  Downloading attrs-20.3.0-py2.py3-none-any.whl (49 kB)

     |████████████████████████████████| 49 kB 9.4 MB/s 

Collecting pyrsistent>=0.14.0

  Downloading pyrsistent-0.17.3.tar.gz (106 kB)

     |████████████████████████████████| 106 kB 19.1 MB/s 

Collecting widgetsnbextension~=3.5.0

  Downloading widgetsnbextension-3.5.1-py2.py3-none-any.whl (2.2 MB)

     |████████████████████████████████| 2.2 MB 20.5 MB/s 

Requirement already satisfied: typing-extensions>=3.6.4 in /Users/doa/keras/venv/lib/python3.7/site-packages (from importlib-metadata->jsonschema!=2.5.0,>=2.4->nbformat->notebook) (3.7.4.3)

Requirement already satisfied: zipp>=0.5 in /Users/doa/keras/venv/lib/python3.7/site-packages (from importlib-metadata->jsonschema!=2.5.0,>=2.4->nbformat->notebook) (3.4.0)

Collecting jinja2

  Downloading Jinja2-2.11.2-py2.py3-none-any.whl (125 kB)

     |████████████████████████████████| 125 kB 20.5 MB/s 

Collecting MarkupSafe>=0.23

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Collecting jupyter-console

  Downloading jupyter_console-6.2.0-py3-none-any.whl (22 kB)

Collecting nbconvert

  Downloading nbconvert-6.0.7-py3-none-any.whl (552 kB)

     |████████████████████████████████| 552 kB 11.8 MB/s 

Collecting entrypoints>=0.2.2

  Downloading entrypoints-0.3-py2.py3-none-any.whl (11 kB)

Collecting mistune<2,>=0.8.1

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Collecting nbclient<0.6.0,>=0.5.0

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     |████████████████████████████████| 65 kB 9.7 MB/s 

Collecting pandocfilters>=1.4.1

  Downloading pandocfilters-1.4.3.tar.gz (16 kB)

Collecting pygments

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     |████████████████████████████████| 950 kB 25.9 MB/s 

Collecting async-generator

  Downloading async_generator-1.10-py3-none-any.whl (18 kB)

Collecting bleach

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Collecting defusedxml

  Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB)

Collecting jupyterlab-pygments

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Collecting nest-asyncio

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Collecting packaging

  Downloading packaging-20.8-py2.py3-none-any.whl (39 kB)

Requirement already satisfied: pyparsing>=2.0.2 in /Users/doa/keras/venv/lib/python3.7/site-packages (from packaging->bleach->nbconvert->jupyter) (2.4.7)

Collecting pickleshare

  Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)

Collecting prometheus-client

  Downloading prometheus_client-0.9.0-py2.py3-none-any.whl (53 kB)

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Collecting pycparser

  Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB)

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Collecting Send2Trash

  Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB)

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Collecting wcwidth

  Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB)

Collecting webencodings

  Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB)

Building wheels for collected packages: pyrsistent, pandocfilters

  Building wheel for pyrsistent (setup.py) ... done

  Created wheel for pyrsistent: filename=pyrsistent-0.17.3-cp37-cp37m-macosx_10_9_x86_64.whl size=68363 sha256=2f3f1230709f1fa3a8f73115ebe63d520ae5c2050757a70d48abd7439f5c9a3f

  Stored in directory: /Users/doa/Library/Caches/pip/wheels/a5/52/bf/71258a1d7b3c8cbe1ee53f9314c6f65f20385481eaee573cc5

  Building wheel for pandocfilters (setup.py) ... done

  Created wheel for pandocfilters: filename=pandocfilters-1.4.3-py3-none-any.whl size=7991 sha256=1e82baec5c666b8138ff89e450276ab451e4fd7d125ff7a6bd0e903a5c9385c6

  Stored in directory: /Users/doa/Library/Caches/pip/wheels/42/81/34/545dc2fbf0e9137811e901108d37fc04650e81d48f97078000

Successfully built pyrsistent pandocfilters

Installing collected packages: ipython-genutils, traitlets, pyrsistent, attrs, wcwidth, tornado, pyzmq, ptyprocess, parso, jupyter-core, jsonschema, webencodings, pygments, pycparser, prompt-toolkit, pickleshare, pexpect, packaging, nest-asyncio, nbformat, MarkupSafe, jupyter-client, jedi, decorator, backcall, async-generator, appnope, testpath, pandocfilters, nbclient, mistune, jupyterlab-pygments, jinja2, ipython, entrypoints, defusedxml, cffi, bleach, terminado, Send2Trash, prometheus-client, nbconvert, ipykernel, argon2-cffi, notebook, widgetsnbextension, qtpy, jupyterlab-widgets, qtconsole, jupyter-console, ipywidgets, jupyter

Successfully installed MarkupSafe-1.1.1 Send2Trash-1.5.0 appnope-0.1.2 argon2-cffi-20.1.0 async-generator-1.10 attrs-20.3.0 backcall-0.2.0 bleach-3.2.1 cffi-1.14.4 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 ipykernel-5.4.3 ipython-7.19.0 ipython-genutils-0.2.0 ipywidgets-7.6.3 jedi-0.18.0 jinja2-2.11.2 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-6.1.11 jupyter-console-6.2.0 jupyter-core-4.7.0 jupyterlab-pygments-0.1.2 jupyterlab-widgets-1.0.0 mistune-0.8.4 nbclient-0.5.1 nbconvert-6.0.7 nbformat-5.0.8 nest-asyncio-1.4.3 notebook-6.1.6 packaging-20.8 pandocfilters-1.4.3 parso-0.8.1 pexpect-4.8.0 pickleshare-0.7.5 prometheus-client-0.9.0 prompt-toolkit-3.0.10 ptyprocess-0.7.0 pycparser-2.20 pygments-2.7.3 pyrsistent-0.17.3 pyzmq-20.0.0 qtconsole-5.0.1 qtpy-1.9.0 terminado-0.9.2 testpath-0.4.4 tornado-6.1 traitlets-5.0.5 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1

(venv) doa@odoaui-MacBookPro keras % jupyter notebook            

[I 11:41:41.150 NotebookApp] The port 8888 is already in use, trying another port.

[I 11:41:41.151 NotebookApp] The port 8889 is already in use, trying another port.

[I 11:41:41.151 NotebookApp] The port 8890 is already in use, trying another port.

[I 11:41:41.151 NotebookApp] The port 8891 is already in use, trying another port.

[I 11:41:41.155 NotebookApp] Serving notebooks from local directory: /Users/doa/keras/keras/keras

[I 11:41:41.155 NotebookApp] Jupyter Notebook 6.1.6 is running at:

[I 11:41:41.155 NotebookApp] http://localhost:8892/?token=0d3c72fa00d4566b8055404d733a43bf9f6e02e4b066d01f

[I 11:41:41.155 NotebookApp]  or http://127.0.0.1:8892/?token=0d3c72fa00d4566b8055404d733a43bf9f6e02e4b066d01f

[I 11:41:41.155 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

[C 11:41:41.162 NotebookApp] 

    

    To access the notebook, open this file in a browser:

        file:///Users/doa/Library/Jupyter/runtime/nbserver-7626-open.html

    Or copy and paste one of these URLs:

        http://localhost:8892/?token=0d3c72fa00d4566b8055404d733a43bf9f6e02e4b066d01f

     or http://127.0.0.1:8892/?token=0d3c72fa00d4566b8055404d733a43bf9f6e02e4b066d01f

[I 11:41:53.540 NotebookApp] Creating new notebook in 

[I 11:41:54.298 NotebookApp] Kernel started: 7bba843b-c46e-4941-9ffb-67ff785ad7b4, name: python3

[I 11:43:54.289 NotebookApp] Saving file at /Untitled.ipynb

[I 11:45:54.294 NotebookApp] Saving file at /Untitled.ipynb

[I 11:47:54.775 NotebookApp] Saving file at /Untitled.ipynb

[I 11:49:54.286 NotebookApp] Saving file at /Untitled.ipynb

[I 11:51:54.285 NotebookApp] Saving file at /Untitled.ipynb

[I 11:53:54.296 NotebookApp] Saving file at /Untitled.ipynb

^C[I 13:21:12.947 NotebookApp] interrupted

Serving notebooks from local directory: /Users/doa/keras/keras/keras

1 active kernel

Jupyter Notebook 6.1.6 is running at:

http://localhost:8892/?token=0d3c72fa00d4566b8055404d733a43bf9f6e02e4b066d01f

 or http://127.0.0.1:8892/?token=0d3c72fa00d4566b8055404d733a43bf9f6e02e4b066d01f

Shutdown this notebook server (y/[n])? y

[C 13:21:14.777 NotebookApp] Shutdown confirmed

[I 13:21:14.778 NotebookApp] Shutting down 1 kernel

[I 13:21:15.604 NotebookApp] Kernel shutdown: 7bba843b-c46e-4941-9ffb-67ff785ad7b4

[I 13:21:15.605 NotebookApp] Shutting down 0 terminals

[I 13:21:15.609 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports

WARNING:root:kernel 7bba843b-c46e-4941-9ffb-67ff785ad7b4 restarted

(venv) doa@odoaui-MacBookPro keras % [IPKernelApp] WARNING | Parent appears to have exited, shutting down.

pip install numpy

Requirement already satisfied: numpy in /Users/doa/keras/venv/lib/python3.7/site-packages (1.19.5)

(venv) doa@odoaui-MacBookPro keras % pip install numpy

Requirement already satisfied: numpy in /Users/doa/keras/venv/lib/python3.7/site-packages (1.19.5)

(venv) doa@odoaui-MacBookPro keras % pip install scipy

Requirement already satisfied: scipy in /Users/doa/keras/venv/lib/python3.7/site-packages (1.6.0)

Requirement already satisfied: numpy>=1.16.5 in /Users/doa/keras/venv/lib/python3.7/site-packages (from scipy) (1.19.5)

(venv) doa@odoaui-MacBookPro keras % pip install h5py

Requirement already satisfied: h5py in /Users/doa/keras/venv/lib/python3.7/site-packages (2.10.0)

Requirement already satisfied: numpy>=1.7 in /Users/doa/keras/venv/lib/python3.7/site-packages (from h5py) (1.19.5)

Requirement already satisfied: six in /Users/doa/keras/venv/lib/python3.7/site-packages (from h5py) (1.15.0)

(venv) doa@odoaui-MacBookPro keras % jupyter notebook

[I 13:22:04.866 NotebookApp] The port 8888 is already in use, trying another port.

[I 13:22:04.866 NotebookApp] The port 8889 is already in use, trying another port.

[I 13:22:04.867 NotebookApp] The port 8890 is already in use, trying another port.

[I 13:22:04.867 NotebookApp] The port 8891 is already in use, trying another port.

[I 13:22:04.869 NotebookApp] Serving notebooks from local directory: /Users/doa/keras/keras/keras

[I 13:22:04.869 NotebookApp] Jupyter Notebook 6.1.6 is running at:

[I 13:22:04.869 NotebookApp] http://localhost:8892/?token=007af65f72acb3310bb8065343f692d1a41b3395cfe366a0

[I 13:22:04.869 NotebookApp]  or http://127.0.0.1:8892/?token=007af65f72acb3310bb8065343f692d1a41b3395cfe366a0

[I 13:22:04.869 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

[C 13:22:04.873 NotebookApp] 

    

    To access the notebook, open this file in a browser:

        file:///Users/doa/Library/Jupyter/runtime/nbserver-8727-open.html

    Or copy and paste one of these URLs:

        http://localhost:8892/?token=007af65f72acb3310bb8065343f692d1a41b3395cfe366a0

     or http://127.0.0.1:8892/?token=007af65f72acb3310bb8065343f692d1a41b3395cfe366a0

[I 13:22:39.402 NotebookApp] Kernel started: 0fc913ea-88a4-4c2a-ba39-0668bae55d10, name: python3

[I 13:22:42.791 NotebookApp] Starting buffering for 0fc913ea-88a4-4c2a-ba39-0668bae55d10:f821a13ebaca459f8b8ec9c06148b6b9

[I 13:22:47.818 NotebookApp] Creating new notebook in 

[I 13:22:48.302 NotebookApp] Kernel started: f76c9d77-ff43-4483-847e-45a00ba8d03a, name: python3

[I 13:24:49.142 NotebookApp] Saving file at /Untitled1.ipynb

 

 

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