Skip to main content

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>=1.6.0 --upgrade
# for installing gluoncv with all dependencies
pip install gluoncv[full] mxnet>=1.6.0 --upgrade

To enable different hardware supports such as GPUs, check out mxnet variants.

For example, you can install cuda-11.0 supported mxnet alongside gluoncv:

pip install gluoncv mxnet-cu110>=1.6.0 --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-0.11.0b20210725.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20210725-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20210725.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210725.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210725.tar.gz
Algorithm Hash digest
SHA256 245b36dc729a48067826f9deaef4030cda7e4fbfd68f137e8b24fd7ea94f01e9
MD5 91e04e208ebca03ea617c9c72dd683e1
BLAKE2b-256 9632aa9ddea6f767faf83c4c682a184cb3ee670c1177af4f45f335c03ed198ba

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210725-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210725-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210725-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 bb2baa5b289474181ed9c9140292bb7a05ec11a5213f93a0e72a8df23b326dfc
MD5 7454052d0d4c051a02ab8b059199938d
BLAKE2b-256 4570aa7763d6ff6ae6bf106f5242ebc80d4d41e2572c7f0ae5299b9b85bff08f

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