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-0.11.0b20210617.tar.gz (991.4 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210617-py2.py3-none-any.whl (1.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210617.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210617.tar.gz
  • Upload date:
  • Size: 991.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210617.tar.gz
Algorithm Hash digest
SHA256 ee58858ce14a3a631997080eb9cf812b42a14ca29458d6ca533a7fa94b5f3f37
MD5 6f645424fceed1f97d71cef2d4e13a9b
BLAKE2b-256 a7f70e6603de50a876d6d0f7240b07c0ff7b7485df128d203c932734abff4bc1

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210617-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210617-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210617-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6418a543d768e39523c885a077c3c5726c68f5bc331ed51b3dfe5328e659c025
MD5 124b707c808054c7ce23cd250ae0004f
BLAKE2b-256 14990c53589fc3020169c694e6c31b548e34572aa69ebbfdcfdc1d21055ece4d

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