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-0.11.0b20210816.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210816-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210816.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210816.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210816.tar.gz
Algorithm Hash digest
SHA256 30f821f7e99b5456c476950c5b538e509ec34caa119fb996cb3e55eb31692226
MD5 1b2dac752f4b7e68fffc36d82324d4f6
BLAKE2b-256 f02e8f988ec80c6abaeb7335e822e2e07389b0b5cdf111ae0dcd2e433a6d5f83

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210816-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210816-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/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210816-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 463a2be4e62e56de1905728cf56c807470e0b1b33960f8094b4c878003f87ecd
MD5 7aa6d7a14e7798ced15a176cfef8a025
BLAKE2b-256 9d997e1f15f5eb88f1fdfbea682b2defc16d4730017d5f3d2f9de20643ac30f3

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