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-0.6.0b20190927.tar.gz (421.2 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20190927-py2.py3-none-any.whl (517.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20190927.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20190927.tar.gz
  • Upload date:
  • Size: 421.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20190927.tar.gz
Algorithm Hash digest
SHA256 0696a2688b675c9af3f7462a50981bcf3645224533d7f6721b039d6d7b7d4267
MD5 01b680d3a7cc2a052285233c25bb1eae
BLAKE2b-256 7dd8fb2dfe9fceb5a4dbd890ab7abd6763f751f30c9bc15221519a18f296385b

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20190927-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20190927-py2.py3-none-any.whl
  • Upload date:
  • Size: 517.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20190927-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 daa0389b3cc3908719674ef40a89ba3d5906de1f979a1dbfac8f3923b7972bd0
MD5 0f748a3681fd16e0cf73ff845d433bfd
BLAKE2b-256 e3fc8cbdc6c9bab649b062bc8d8eac64b699e52f36bc836bbf2474d40f9db0df

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