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-0.11.0b20220628.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20220628-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20220628.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220628.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220628.tar.gz
Algorithm Hash digest
SHA256 17c1ed923713d24c42781b3b158672cd300f618858400d6002e5bb1d944d94fd
MD5 7326d44caa8dcc1faecd78eda757091f
BLAKE2b-256 da3ebe61f33a3e335e8940a77c56a0af36965d97a39dc710dd31bcf87b602fe8

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220628-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220628-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220628-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8016da9e4be4fbec16f85d58d4ec7594f348eb92513c1753ab1a8ddb6f3b230b
MD5 807a983d17d86f2b65aa59ee6352cdfc
BLAKE2b-256 5827e9a5e44ef4968591c5c395ad1252ee36fb81f3398e75d425c16436149314

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