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>=1.3.0 --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-cu90>=1.3.0 --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-0.4.0b20181204.tar.gz (175.3 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.4.0b20181204-py2.py3-none-any.whl (242.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.4.0b20181204.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181204.tar.gz
  • Upload date:
  • Size: 175.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181204.tar.gz
Algorithm Hash digest
SHA256 5ba4da5a89e856fabf42184a544606b93224471ecb840359dea1a0098ccbbefc
MD5 51fb60d20e38cab356cb521649b6bccf
BLAKE2b-256 9def4b74eac6efcc79572a64a4f0d273f0952c69733823bff32f5285c3d8fba8

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181204-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181204-py2.py3-none-any.whl
  • Upload date:
  • Size: 242.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181204-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8117921667a26c51f47b13fed18271cc26495fb6c3a430a527629d4f5b5d05b2
MD5 b8e399f4042a67ba04ac32dbfddea52d
BLAKE2b-256 a3ef9475c269107973b4a4600cdda6a9340829eaf904290fd194c161c41aef0d

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