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-0.5.0b20190324.tar.gz (204.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190324-py2.py3-none-any.whl (278.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190324.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190324.tar.gz
  • Upload date:
  • Size: 204.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190324.tar.gz
Algorithm Hash digest
SHA256 0d243a4306ba7a9765447f4da157c681cb2e9353751d69be46fbb563a3561988
MD5 bab52f2e21f23e56b6c4be71984d171d
BLAKE2b-256 421e17840f6e197d32843d1f3414a8055d7eb865c6b30dc371ee6f6fb9afc6df

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190324-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190324-py2.py3-none-any.whl
  • Upload date:
  • Size: 278.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190324-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 573dd1b2a3dc8a8b7f5b1042d7523f1e7b73d44000af99610b58dc2ef30d978f
MD5 1001ed29868c06899dd9b7607ed2c2df
BLAKE2b-256 60f26889e7e7ac3726aa8f461ec674a58dbbb2ff21d234cb4c2671d1dc1edabb

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