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-0.6.0b20191123.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-0.6.0b20191123-py2.py3-none-any.whl (573.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191123.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191123.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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191123.tar.gz
Algorithm Hash digest
SHA256 26353e344cebe8500e7524ad1e20ae00f00d89558cc5ea697a5e62c7963638f3
MD5 6ca3e8bc449d5e5dddc418fc986597e1
BLAKE2b-256 53aa43ded302676cc9aaf3e4636361a5c2d18cbb6d482907d6b428ffd851ff01

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191123-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191123-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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191123-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ebefd96add15b86ef851e6a8bedf2db41585bf0f0af92e208210522027949cf9
MD5 261ba75ec2f61f8ce6b3bc2d22fe4f12
BLAKE2b-256 cc136beb44a04c510aab4b8c48e9df7da9f78169c5c9448b68a509d552779674

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