Skip to main content

MXNet 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-mkl>=1.4.0 --upgrade

To enable different hardware supports such as GPUs, check out mxnet variants.

For example, you can install cuda-9.0 supported mxnet alongside gluoncv:

pip install gluoncv mxnet-cu90mkl>=1.4.0 --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-0.9.0b20201024.tar.gz (659.9 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.0b20201024-py2.py3-none-any.whl (814.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201024.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201024.tar.gz
  • Upload date:
  • Size: 659.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201024.tar.gz
Algorithm Hash digest
SHA256 6124fd72cbd9082801730fecb1e33a220e8325d07091494bbb7cf933c7ed1fac
MD5 906a7367ae4ba2c0520f8a609c843183
BLAKE2b-256 e5b5dfaf4455d9d05bcabcef99af65e5d56e6cc60ef05e2a5a54ac265eced6f4

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201024-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201024-py2.py3-none-any.whl
  • Upload date:
  • Size: 814.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.0 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201024-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3ad3ea8baba6e68fe9ee689fea149d26f3cdc0fbcaae67e82b2543d4c8a41e0a
MD5 61f991f9ab1653f383c95497c48fe4aa
BLAKE2b-256 9c5c511ca9003160190d2d2da28e74020f60bb1c568c7646952678b50c3d6bef

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