Updating requirements (very simple now!)

This commit is contained in:
Jason Antic
2019-01-29 15:13:23 -08:00
parent 43c85b135c
commit fa6df9df8d
4 changed files with 4 additions and 190 deletions
+1
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@@ -494,3 +494,4 @@ ColorizeTrainingNew2.ipynb
ColorizeTrainingNew3.ipynb
ColorizeTrainingNew4.ipynb
.ipynb_checkpoints/ColorizeTraining1-checkpoint.ipynb
.ipynb_checkpoints/ColorizeVisualization2-checkpoint.ipynb
+2 -102
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@@ -1,105 +1,5 @@
name: deoldify
channels:
- fastai
- pytorch
- defaults
- peterjc123
dependencies:
- scipy
- cuda90
- cudnn
- numpy
- pillow
- jpeg
- spacy
- zlib
- freetype
- libtiff
- bleach
- certifi
- cffi
- cycler
- decorator
- entrypoints
- expat
- html5lib
- icu
- ipykernel
- ipython
- ipython_genutils
- ipywidgets
- jedi
- jinja2
- jsonschema
- libiconv
- libpng
- libsodium
- lxml==4.2.1
- libxml2
- markupsafe
- matplotlib
- mistune
- mkl
- nbconvert
- nbformat
- notebook
- numpy
- olefile
- openssl
- pandas
- pandocfilters
- path.py
- patsy
- pcre
- pexpect
- pickleshare
- pillow
- pip
- prompt_toolkit
- pycparser
- pygments
- pyparsing
- pyqt
- python>=3.6.0
- python-dateutil
- pytz
- pyzmq
- qt
- qtconsole
- scipy
- seaborn
- setuptools
- simplegeneric
- sip
- six
- sqlite
- statsmodels
- testpath
- tk
- tornado<5
- tqdm
- traitlets
- wcwidth
- wheel
- widgetsnbextension
- xz
- zeromq
- pytorch==0.4.1
- bcolz
- prompt_toolkit
- pytest
- fastai>=1.0.42
- pip:
- tensorflow-gpu
- torchvision>=0.2.0
- opencv-python
- isoweek
- pandas_summary==0.0.5
- torchtext
- graphviz
- sklearn_pandas
- feather-format
- plotnine
- kaggle-cli
- ipywidgets
- jupyterlab>=0.34.3
- tensorboardX
- tensorboardX>=1.4
+1 -55
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@@ -1,56 +1,2 @@
bcolz>=1.1.2
bleach>=2.0.0
certifi>=2016.2.28
cycler>=0.10.0
decorator>=4.1.2
entrypoints>=0.2.3
graphviz>=0.8.2
html5lib>=0.999999999
ipykernel>=4.6.1
ipython>=6.2.0
ipython-genutils>=0.2.0
ipywidgets>=7.0.1
isoweek>=1.3.3
jedi>=0.10.2
Jinja2>=2.9.6
jsonschema>=2.6.0
jupyterlab>=0.34.3
MarkupSafe>=1.0
matplotlib>=2.0.2
mistune>=0.7.4
nbconvert>=5.3.1
nbformat>=4.4.0
notebook>=5.1.0
numpy>=1.13.1
olefile>=0.44
opencv-python>=3.3.0.10
pandas>=0.20.3
pexpect>=4.2.1
pickleshare>=0.7.4
Pillow==4.1.1
prompt-toolkit==2.0.0
Pygments>=2.2.0
pyparsing>=2.2.0
pytest>=3.5.0
python-dateutil>=2.6.1
pytz>=2017.2
PyYAML>=3.12
pyzmq>=16.0.2
qtconsole>=4.3.1
scipy>=0.19.1
seaborn>=0.8.1
simplegeneric>=0.8.1
six>=1.11.0
sklearn_pandas>=1.6.0
fastai>=1.0.42
tensorboardX>=1.4
terminado>=0.6
testpath>=0.3.1
torchtext==0.2.3
torchvision>=0.2.0
tornado>=4.5.2,<5
tqdm>=4.15.0
traitlets>=4.3.2
wcwidth>=0.1.7
webencodings>=0.5.1
widgetsnbextension>=3.0.3
spacy>=2.0.11
-33
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@@ -1,33 +0,0 @@
# coding: utf-8
""" Setup script for installing fastai """
#from distutils.core import setup
from setuptools import setup
setup(
name = "fastai",
packages = ['fastai', 'fastai/models', 'fastai/models/cifar10'],
version = '0.7.0',
description = "The fastai deep learning and machine learning library.",
author = "Jeremy Howard and contributors",
author_email = "info@fast.ai",
license = "Apache License 2.0",
url = "https://github.com/fastai/fastai",
download_url = 'https://github.com/fastai/fastai/archive/0.7.0.tar.gz',
install_requires =
['bcolz', 'bleach', 'certifi', 'cycler', 'decorator', 'entrypoints', 'feather-format', 'graphviz', 'html5lib',
'ipykernel', 'ipython', 'ipython-genutils', 'ipywidgets', 'isoweek', 'jedi', 'Jinja2', 'jsonschema', 'jupyter',
'MarkupSafe', 'matplotlib', 'numpy', 'opencv-python', 'pandas',
'pandas_summary', 'pickleshare', 'Pillow', 'plotnine',
'Pygments', 'pyparsing', 'python-dateutil', 'pytz', 'PyYAML', 'pyzmq', 'scipy',
'seaborn', 'simplegeneric', 'sklearn_pandas', 'testpath', 'tensorboardX', 'torchtext', 'torchvision', 'tornado', 'tqdm',
'traitlets', 'wcwidth', 'webencodings', 'widgetsnbextension'],
keywords = ['deeplearning', 'pytorch', 'machinelearning'],
classifiers = ['Development Status :: 3 - Alpha',
'Programming Language :: Python',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Artificial Intelligence']
)