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kelner

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0.1.5 kelner-0.1.5-py2.py3-none-any.whl

Wheel Details

Project: kelner
Version: 0.1.5
Filename: kelner-0.1.5-py2.py3-none-any.whl
Download: [link]
Size: 17089
MD5: 1c4f82296025e3fa13fe1d51549e622d
SHA256: 78e87200c013323479784296461a24d3653e449685ea04cb2af547dc5fc22ee5
Uploaded: 2018-07-27 07:55:08 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.0
Name: kelner
Version: 0.1.5
Summary: Serve your models
Author: Leszek Rybicki
Author-Email: leszek-rybicki[at]cookpad.com
Home-Page: https://github.com/lunardog/kelner
License: BSD
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS
Classifier: Operating System :: Unix
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Platform: any
Requires-Dist: click (>=5.0)
Requires-Dist: Keras (>=2.0.0)
Requires-Dist: h5py
Requires-Dist: numpy (>=1.0)
Requires-Dist: requests
Requires-Dist: boto3
Requires-Dist: python-datauri
Requires-Dist: Pillow (>=4.0)
[Description omitted; length: 23 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.30.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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kelner/cli.py sha256=J_K_gpBu-QARM3N4lJ6Smf_6tNk5U8uUElkfKTp2va8 4400
kelner/client.py sha256=EJPcd8SMoosIadAjWIS35W8EoGAlcJMoE_5WG48Kkas 2954
kelner/imagenet.py sha256=y9girQbIYOEgZANTZ0a3AvpPCss6LpunsQc2be5R7JI 13538
kelner/model.py sha256=HEHCrlxBHkRpSp9B9i8agEthpJj849Mw9hVa-_dNJlQ 473
kelner/server.py sha256=p6zDh5fGSBMMlSqW8RpYmqWklk2i3trSIQ4iU8CCgn4 4362
kelner/utils.py sha256=SlNHiclUbLmAI4-sPtullXwzNx98BSRU50gGg-bWZ_k 2492
kelner/models/__init__.py sha256=tfvxMqU10H09nHjRVqbppqUGr234U_5y30lzTaiMNNs 83
kelner/models/kelner_model.py sha256=uU5vnxGDZ9w_yoSn3qubQZeRD--dtjuc58_oxQw7wug 430
kelner/models/keras_model.py sha256=GKYTxMe-NuiHyP0t96lgf2zCV1-s7vUCycR9XyXl224 1611
kelner/models/tensorflow_model.py sha256=El4BUIq5hjIz5_gj8h_iRIk3T0Matqpcai8hdFzVrjw 2977
kelner-0.1.5.dist-info/DESCRIPTION.rst sha256=KAVsOUQ4_MrkiA0sa-SMOQgMzrTswb97yzlJFzDThv4 23
kelner-0.1.5.dist-info/METADATA sha256=dhQyC58hGImiQ2GJmgfPsokXr8QgI3pUj5hOObFE98U 1037
kelner-0.1.5.dist-info/RECORD — —
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kelner-0.1.5.dist-info/metadata.json sha256=pG60eYal_Fe6ShejdZFyA8UP3XAFaw546KIeXB8qwVE 1477
kelner-0.1.5.dist-info/top_level.txt sha256=J8_Tytnhy_vVF64E-H0srJkm1SgjA0-JqxEhzOu5B3o 7

top_level.txt

kelner

entry_points.txt

[console_scripts]
kelner = kelner.cli:kelner
kelnerd = kelner.cli:kelnerd