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-0.5.0b20190430.tar.gz (261.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190430-py2.py3-none-any.whl (343.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190430.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190430.tar.gz
  • Upload date:
  • Size: 261.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190430.tar.gz
Algorithm Hash digest
SHA256 6003d7f3109078db47b43858307088a84d2302c9d52c48892b85352cfd4d6b03
MD5 0cd90fa66af8f495220d7acfb9575d20
BLAKE2b-256 9dea245c1a582b94e8ab83690eb693b9c8151bd6cf6361b1d29b29647a9b8269

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190430-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190430-py2.py3-none-any.whl
  • Upload date:
  • Size: 343.2 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/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190430-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 506ff5e00bdda64af3bf6bcd83c50702dde1eef5ba84bffed9c348c391a31fe1
MD5 0252e980e58e1611fda830d3f1a38be7
BLAKE2b-256 3448065ff262a7e9b0b8595a60d4616184f351c64bc746ad432c910032375440

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