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-0.9.0b20201007.tar.gz (659.9 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.0b20201007-py2.py3-none-any.whl (814.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201007.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201007.tar.gz
  • Upload date:
  • Size: 659.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201007.tar.gz
Algorithm Hash digest
SHA256 ef11fb429fa2b4f6c9ccb93aec4bb46ee03783deb39347e497e4c3e4778d7123
MD5 be7125f02d7f507d47b2848224b3e96f
BLAKE2b-256 11e16ee90f575efde1d94ce5efe7196ef539b2b7699d21fb15f73a5f550efd79

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201007-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201007-py2.py3-none-any.whl
  • Upload date:
  • Size: 814.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201007-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a4c86c42ef4786720c376a38ba5232df65335381dd62e6ea48e45e57b61f8175
MD5 3c537440c7c5f03008ac7372952c5467
BLAKE2b-256 86a3721becd7ae442615800b5389ed15c4c50980245a080f23d6108a41e8619e

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