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Pre-release

This release is a pre-release and may not be stable for production use.

GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in computer vision.

It is designed for engineers, researchers, and students to fast prototype products and research ideas based on these models.

Installation

To install, use:

pip install gluoncv mxnet>=1.3.0 --upgrade

To enable different hardware supports such as GPUs, check out mxnet variants.

For example, you can install cuda-9.0 supported mxnet alongside gluoncv:

pip install gluoncv mxnet-cu90>=1.3.0 --upgrade

Metadata

Release files for gluoncv 0.4.0b20181206

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gluoncv 0.4.0b20181206
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gluoncv-0.4.0b20181206.tar.gz 175.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gluoncv 0.4.0b20181206
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gluoncv-0.4.0b20181206-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 417.7 kB

Release files / gluoncv-0.4.0b20181206.tar.gz

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0.10.4

2 release files

0.10.3

2 release files

0.10.1

2 release files

0.9.4

2 release files

0.9.3

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.0

2 release files

This release

0.3.0

2 release files

0.2.0

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0.1.0

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