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>=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

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-0.4.0b20181231.tar.gz (175.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.4.0b20181231-py2.py3-none-any.whl (242.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.4.0b20181231.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181231.tar.gz
  • Upload date:
  • Size: 175.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181231.tar.gz
Algorithm Hash digest
SHA256 1324925df1b140454d0610c41e61069bf1b9aa6ce638d5b92a058f2af5e0ad26
MD5 20495712ade3d1f8f784bd3d78dd8a35
BLAKE2b-256 dc5dc222f48f73f5fb80a9979b33ffcee8de8d7835a2dcb63ffcf89ac5181eae

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181231-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181231-py2.py3-none-any.whl
  • Upload date:
  • Size: 242.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181231-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 49603b322ac50334e8d8cb5b95b4237a41a80761b2b103eae878dfae9bca595b
MD5 14b829850cf1811a47d5748a5e6fba6e
BLAKE2b-256 9a985557422de5ef1360c22994c0111a11cc1632d98be17795a308c872d964d0

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