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-0.4.0b20181019.tar.gz (172.6 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.4.0b20181019-py2.py3-none-any.whl (238.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.4.0b20181019.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181019.tar.gz
  • Upload date:
  • Size: 172.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.27.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181019.tar.gz
Algorithm Hash digest
SHA256 a10d5525626dfcc5024c01a33ea36de63e331c90c1beab2d48d673c60342920f
MD5 24e217278cc44e81b30fc58d1e83dc54
BLAKE2b-256 8013e724fd9888e604f71a5683469486bff915c4317bcf1b5538c07358cce140

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181019-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181019-py2.py3-none-any.whl
  • Upload date:
  • Size: 238.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.27.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181019-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6ee4310831878424432522612968ac6e450f1fc5c6a40833480edf2691222331
MD5 9174471924ff3f76accba1001ef05fee
BLAKE2b-256 b71b2a3d6fc24ec9d6d3d7f4c7a5fe9ee6f241caa6623eca5d2b29573d85b84d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page