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-0.5.0b20190818.tar.gz (336.2 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190818-py2.py3-none-any.whl (428.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190818.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190818.tar.gz
  • Upload date:
  • Size: 336.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190818.tar.gz
Algorithm Hash digest
SHA256 ad5341de883dc6b1ea17a82f30c31d9174bc5a1144b92c0643055b3da95a12b7
MD5 b55311d29eafdb13c442130f93778e5a
BLAKE2b-256 5eeda9ca7b2b0af20331e4176db90ec16368d503a638991c15183df2b9c55160

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190818-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190818-py2.py3-none-any.whl
  • Upload date:
  • Size: 428.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190818-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 cf778eff55660d5ac6886ddf341e49dd281a11b10153686b94daf99f160f2eef
MD5 7317b0d305033c4700613511d915b429
BLAKE2b-256 23c089696edaa2a84b7abbec5523451ab88dcbd2868a6e628f1ef8755a18058d

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