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-0.7.0b20200116.tar.gz (575.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.7.0b20200116-py2.py3-none-any.whl (693.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.7.0b20200116.tar.gz.

File metadata

  • Download URL: gluoncv-0.7.0b20200116.tar.gz
  • Upload date:
  • Size: 575.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200116.tar.gz
Algorithm Hash digest
SHA256 cc7bc9995b42cda1250458fd3bbc3a2691f5c6fe47c49e0cc86497b1afc2e788
MD5 11cf9cf8d44a23bddf673eebc09ba599
BLAKE2b-256 db4ff5006040c0f76b0353917be1ab083587477deab7b558a43284e2db7211bd

See more details on using hashes here.

File details

Details for the file gluoncv-0.7.0b20200116-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.7.0b20200116-py2.py3-none-any.whl
  • Upload date:
  • Size: 693.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200116-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 50caa04f4f18587680ff00c2632a9a00bf0efead4499360c6fc4449dabecdd25
MD5 2709ff19decf8a4809f7ff19eb8cbe65
BLAKE2b-256 3eff835f61c7036cd88089b242ec9dabf504a25b3506e0adf596537d9bbbf9da

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