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-0.6.0b20191124.tar.gz (461.1 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191124-py2.py3-none-any.whl (573.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191124.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191124.tar.gz
  • Upload date:
  • Size: 461.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191124.tar.gz
Algorithm Hash digest
SHA256 d090da02d0f39244c4f7b41d58f5ee2f58233af2da7d984aa5855a4836cb851f
MD5 9a84c22cd43be882735dbf5133c4bd77
BLAKE2b-256 e882c1fd5698ffce9879f4308f0e576f51b6085af266c0bcf18e6a42619dda9b

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191124-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191124-py2.py3-none-any.whl
  • Upload date:
  • Size: 573.6 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/42.0.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191124-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f195313cec25ebfabaf6cbea5fe401e01e09da27b67f5e81d6e8ef79bab1647a
MD5 0e675ec671d454a8d04f0ab485fd0525
BLAKE2b-256 030bac83f9e9725c0fe8c992f103083ff52bfb152f9a1ef195105c2cf598b062

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