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-0.6.0b20191121.tar.gz (460.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191121-py2.py3-none-any.whl (573.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191121.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191121.tar.gz
  • Upload date:
  • Size: 460.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191121.tar.gz
Algorithm Hash digest
SHA256 1be35c3c8502d9251087009fd5068deac35fd706e7af95b4e0bacbd31d3f90ab
MD5 ab03ca6cf02aec623b375e87bcd5aaec
BLAKE2b-256 bb847c8a590a00f7a716239f96c317da530282f2434ab56a68b549594fe1b91b

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191121-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191121-py2.py3-none-any.whl
  • Upload date:
  • Size: 573.4 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191121-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0afe978514b457882f8154a3261b3070f8d3dd383bd66465681f9c3d9dc6c65b
MD5 f35b38d94244fc1e5865f5b5bc1232d5
BLAKE2b-256 fdb3f38ab00603e1d1ea53798b4a783fb4bf31cd59865de74e86deea5bcbbf32

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