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-0.11.0b20210921.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20210921-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20210921.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210921.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210921.tar.gz
Algorithm Hash digest
SHA256 f5d0a52226412b857169df7a6a1567b74cde1210aa9b6183597de5dfe01e37e2
MD5 62c371982a10f5d72dd031307ca06f55
BLAKE2b-256 5f4e742bb11e3668e2695b14daa752e591e19f0101d963abfa1fc9c3038a8f43

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210921-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210921-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/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210921-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3014577d027b9776f1ae93dab116dead2cd7dac8ec033dc887f4b7ee9dbd7c35
MD5 598bf9c4195706d309a7aa11da81c845
BLAKE2b-256 13a8d8e86f64018b2cb84073564c676a88a9b046becb54ff3abf8d499afc4403

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