Skip to main content

MXNet Gluon CV Toolkit

Project description

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-mkl>=1.4.0 --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-cu90mkl>=1.4.0 --upgrade

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gluoncv-0.7.0b20200328.tar.gz (603.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gluoncv-0.7.0b20200328-py2.py3-none-any.whl (737.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.7.0b20200328.tar.gz.

File metadata

  • Download URL: gluoncv-0.7.0b20200328.tar.gz
  • Upload date:
  • Size: 603.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200328.tar.gz
Algorithm Hash digest
SHA256 2f1704e25181d8240cff6e6ae8b06d8a57fa87fe5081a7b41360aeee2d09505f
MD5 5b3429aaa8e231aef1fdd11039e18edc
BLAKE2b-256 b793b1bcf65e3d4e7b01cd9e4d127b77cded912d3fbfe01deacae0f9ecf048f6

See more details on using hashes here.

File details

Details for the file gluoncv-0.7.0b20200328-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.7.0b20200328-py2.py3-none-any.whl
  • Upload date:
  • Size: 737.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200328-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8074ad9d737039dfbda3c776030db92ca41ad977ea23e912869831b71153d559
MD5 f86de8e0076a847927c43409d1d071b7
BLAKE2b-256 a31557bfad2998d75247b0726e16b26fbaf6358aac2888e73923a24f3c05866a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page