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-0.9.0b20201008.tar.gz (659.9 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.0b20201008-py2.py3-none-any.whl (814.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201008.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201008.tar.gz
  • Upload date:
  • Size: 659.9 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/4.50.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201008.tar.gz
Algorithm Hash digest
SHA256 e55149408ca0805a39d8842c67f680c90e55f2bcfc7c04002b209c1dd2308cc5
MD5 cb9ba432cbbd60d57168d91ed9621c70
BLAKE2b-256 8541e696e5a0488666a04c2da1c1c89f80aa84ba07f7d62badee40a113f1e4ab

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201008-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201008-py2.py3-none-any.whl
  • Upload date:
  • Size: 814.9 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/4.50.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201008-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c40740b8babdb45b76020ad2c78cc8df1433b58a13db65db27f54a098dba1a2f
MD5 73bc7e834c8fb214dc13f33ccf2d972e
BLAKE2b-256 79b57e849df5c63cac52f5f78dcab92d3179d04b2f615c0341a858de0fa91bed

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