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-0.5.0b20190817.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-0.5.0b20190817-py2.py3-none-any.whl (428.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190817.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190817.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-0.5.0b20190817.tar.gz
Algorithm Hash digest
SHA256 269a0682c85853a7bfb02af85bbc9014cec8fa0d69d27a0f1788fd1776cbc2d6
MD5 74c83707b5376d509dcdffada47fa88f
BLAKE2b-256 759e78fbb3d2506691710da21709be17b8acea640e2b563e315091fac6656eaa

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190817-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190817-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-0.5.0b20190817-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1a8b1fb0de779858a8b8eb8866942110aed4cc73cb673e9d0deb85839d0e0c4c
MD5 60ae18667bc00ad01207f7d9513b8e76
BLAKE2b-256 6659af95198301187703705aaa89c2663a35e220c9165c9f3a5e5471dee9ef90

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