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-0.5.0b20190815.tar.gz (336.2 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.5.0b20190815-py2.py3-none-any.whl (428.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.5.0b20190815.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190815.tar.gz
  • Upload date:
  • Size: 336.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190815.tar.gz
Algorithm Hash digest
SHA256 3f3923c9013fc23e287d8c5b5960d670f879428d877b99cc25589995b766c0d7
MD5 f163de22fc045e98aa87d5a13c4c1445
BLAKE2b-256 6673d5a2c4cdeefb579595da1aad96345fec8b031a988674ea76363c1042f9dc

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190815-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190815-py2.py3-none-any.whl
  • Upload date:
  • Size: 428.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190815-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c2caebb2c116e7ca15a8cbd3c9fb6dcc8702b50a83d3e7054218cb354250da42
MD5 b75e5e3c66069da927c16c01a3731252
BLAKE2b-256 aa8eb86244ac2eaeb259a1d9dd8917116a4028d6bbd28a86b18bebcef8d9eb03

See more details on using hashes here.

Supported by

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