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-0.9.0b20201006.tar.gz (659.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.0b20201006-py2.py3-none-any.whl (814.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201006.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201006.tar.gz
  • Upload date:
  • Size: 659.6 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-0.9.0b20201006.tar.gz
Algorithm Hash digest
SHA256 de9840468e91d915c71d113f536bd76f450d8927b525beacd6781a6f58bd97e5
MD5 d5495cb622326fbc619175bf380c15de
BLAKE2b-256 c48c2e981d1fcb6c23cb389489d1b3e0cf4ba78270dc00d76f502d41ca3500fa

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201006-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201006-py2.py3-none-any.whl
  • Upload date:
  • Size: 814.3 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-0.9.0b20201006-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8592397e2463550174b9a2e0cc0024abf2abbf960eb765ed33f301a894c62dc3
MD5 f90eaed17e35d8e7b535f917db9fc16b
BLAKE2b-256 2fd7b7a9c3d086e0127143660006261a50e95215e1106e82c8872059ddcc5863

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