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.
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
FAQs
Gluon CV Toolkit
We found that gluoncv demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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