Metadata-Version: 2.1
Name: gluoncv
Version: 0.10.5
Summary: Gluon CV Toolkit
Home-page: https://github.com/dmlc/gluon-cv
Author: Gluon CV Toolkit Contributors
License: Apache-2.0
Platform: UNKNOWN
Requires-Dist: numpy
Requires-Dist: tqdm
Requires-Dist: requests
Requires-Dist: matplotlib
Requires-Dist: portalocker
Requires-Dist: Pillow
Requires-Dist: scipy
Requires-Dist: yacs
Requires-Dist: pandas
Requires-Dist: pyyaml
Requires-Dist: autocfg
Requires-Dist: opencv-python
Provides-Extra: auto
Requires-Dist: autogluon.core ; extra == 'auto'
Provides-Extra: full
Requires-Dist: tensorboardx ; extra == 'full'
Requires-Dist: decord ; extra == 'full'
Requires-Dist: autogluon.core ; extra == 'full'
Requires-Dist: cython ; extra == 'full'
Requires-Dist: pycocotools ; extra == 'full'

GluonCV Python Package
=========================
`GluonCV <https://gluon-cv.mxnet.io>`_ 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:

.. code-block:: bash

    pip install gluoncv mxnet>=1.6.0 --upgrade
    # for installing gluoncv with all dependencies
    pip install gluoncv[full] mxnet>=1.6.0 --upgrade

To enable different hardware supports such as GPUs, check out  `mxnet variants <https://pypi.org/project/mxnet/>`_.

For example, you can install cuda-11.0 supported mxnet alongside gluoncv:

.. code-block:: bash

    pip install gluoncv mxnet-cu110>=1.6.0 --upgrade



