일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 |
8 | 9 | 10 | 11 | 12 | 13 | 14 |
15 | 16 | 17 | 18 | 19 | 20 | 21 |
22 | 23 | 24 | 25 | 26 | 27 | 28 |
29 | 30 | 31 |
- Google API
- DeepLearning
- Text To Speech
- YOLOv5
- processstart
- objectdetection
- 파이썬 #업무자동화 #python
- computervision
- YOLOv7
- yolo
- 사무자동화
- pyautogui
- pypdf2
- pythonnet
- ironpython
- google cloud
- Text-to-Speech
- 업무자동화
- pdf merge
- 사무자동화 #Selenium
- Today
- Total
Doarchive
개발환경 설정 - python 기반 - jupyter notebook/keras/tensorflow 본문
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 \
풀 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
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/208176ae2c5642eb0dff7c97d7b011d6b1d6317be4242db1e54bbb92609f758b
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/gd-2.3.0.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/ebc4192da4580942545084cf2f5c36dc4645a5c83244224905e01dee4e50837e
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/libffi-3.3_1.catalina.bottle.tar.gz
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/tcl-tk-8.6.11.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/5bc2306be500fe9eba4df65215a7322196260c91864095591216b442d62dfccf
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/python%403.9-3.9.1_6.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/34f5d1a82cb72accee802e949eb30d37545a12290d0b9ed8e13ba9ad00f7836a
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/glib-2.66.4_1.catalina.bottle.1.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/be6477600e402b953ad33d0c0e9096deda1575928cf0d551abd2d24c3486d51d
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/jasper-2.0.24.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/d1c76e642247f71829a1bfafbff0ddb4f46a11b918299bec64175287033ac90f
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/netpbm-10.86.18.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/9b136982e2785817585826f084a3282cce0b1bd643ddf3af54bf42213fc9eb25
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/gts-0.7.6_2.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/8a0c9b4f60a2cbea2e2e3469880284c2373843e676aaf58c1ff28d1e31c2ccb9
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/cairo-1.16.0_4.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/3d772a45e12f548338893e11cff0cd5c6a0a929bc214de8aa8cb6995c359bae9
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/gdk-pixbuf-2.42.2.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/fe5c2b2bc7a942a6cab4d091be0c9f88703919cc75b6ec92d51ef0ed24ebcdbc
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/harfbuzz-2.7.4.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/e70ac334d625b9f857d413ab76f090eca607a04c43f4fa363f69c83034b81c2b
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/pango-1.48.0.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/8efc7e43fabedde9160927212857a7fa950a0ee4768374a5f36fc7b7a4e79c44
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/librsvg-2.50.2.catalina.bottle.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/31e57e1d77eb1ffde7abebaca3bcb1a8552dc7cdaf9484687f575865a9f02906
######################################################################## 100.0%
==> Downloading https://homebrew.bintray.com/bottles/graphviz-2.44.1.catalina.bottle.1.tar.gz
==> Downloading from https://d29vzk4ow07wi7.cloudfront.net/3ffa8ff77c3017ebcc9998216a2df08ff461fa3c6866e233c189b9d53cd01b18
######################################################################## 100.0%
==> 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
Downloading MarkupSafe-1.1.1-cp37-cp37m-macosx_10_6_intel.whl (18 kB)
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
Downloading mistune-0.8.4-py2.py3-none-any.whl (16 kB)
Collecting nbclient<0.6.0,>=0.5.0
Downloading nbclient-0.5.1-py3-none-any.whl (65 kB)
|████████████████████████████████| 65 kB 9.7 MB/s
Collecting pandocfilters>=1.4.1
Downloading pandocfilters-1.4.3.tar.gz (16 kB)
Collecting pygments
Downloading Pygments-2.7.3-py3-none-any.whl (950 kB)
|████████████████████████████████| 950 kB 25.9 MB/s
Collecting async-generator
Downloading async_generator-1.10-py3-none-any.whl (18 kB)
Collecting bleach
Downloading bleach-3.2.1-py2.py3-none-any.whl (145 kB)
|████████████████████████████████| 145 kB 20.9 MB/s
Collecting defusedxml
Downloading defusedxml-0.6.0-py2.py3-none-any.whl (23 kB)
Collecting jupyterlab-pygments
Downloading jupyterlab_pygments-0.1.2-py2.py3-none-any.whl (4.6 kB)
Collecting nest-asyncio
Downloading nest_asyncio-1.4.3-py3-none-any.whl (5.3 kB)
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)
|████████████████████████████████| 53 kB 6.7 MB/s
Collecting pycparser
Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB)
|████████████████████████████████| 112 kB 18.7 MB/s
Collecting qtconsole
Downloading qtconsole-5.0.1-py3-none-any.whl (118 kB)
|████████████████████████████████| 118 kB 20.0 MB/s
Collecting qtpy
Downloading QtPy-1.9.0-py2.py3-none-any.whl (54 kB)
|████████████████████████████████| 54 kB 6.1 MB/s
Collecting Send2Trash
Downloading Send2Trash-1.5.0-py3-none-any.whl (12 kB)
Collecting testpath
Downloading testpath-0.4.4-py2.py3-none-any.whl (163 kB)
|████████████████████████████████| 163 kB 30.5 MB/s
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
'Computer Vision > Deep learning' 카테고리의 다른 글
[라이브러리] 데이터 시각화: Matplotlib /Seaborn (0) | 2021.01.12 |
---|---|
[라이브러리] 데이터 조작: NumPy / Pandas (0) | 2021.01.12 |
개발환경설정 버전 확인 (0) | 2021.01.12 |
Creating an Image Classifier Model in Swift playground (0) | 2020.01.22 |
Getting started with Apple Create ML 애플 CreateML 사용하기 (0) | 2020.01.22 |