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-0.11.0b20220102.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20220102-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20220102.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220102.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220102.tar.gz
Algorithm Hash digest
SHA256 9bc69df0a9dde6f23df029cf4dc70cc1a9c05ce6936dbefec1d60c20709121d1
MD5 f143050bbe21599b5d80be52187d30e6
BLAKE2b-256 5c3af23cb9ff3bd80e728d02061d0f49f91889a663a668908d3f89780386ba40

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220102-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220102-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220102-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a91695eb2e351eb813aee34429d35752d11e9c5766860a4dfdfea36a6e36e734
MD5 c24a0a08c4cdcf68935c2af8c7e5138c
BLAKE2b-256 f4ff7156d76cab22e2d761232a07342823c878e75cd81820e8dd8b12279542a5

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