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-0.8.0b20200511.tar.gz (627.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.8.0b20200511-py2.py3-none-any.whl (767.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.8.0b20200511.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200511.tar.gz
  • Upload date:
  • Size: 627.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200511.tar.gz
Algorithm Hash digest
SHA256 d996d90d9f7fbb3ccc52e9f69c856acd1942a4fe31f5f1a01ebba0ea613d6667
MD5 c2584484eae8527d7d2d19bb811dc3c9
BLAKE2b-256 5b23e56e7ba4bf3bf4c8618e282b8e5b5c8d8a51a1901373d3a6139df76e9f41

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200511-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200511-py2.py3-none-any.whl
  • Upload date:
  • Size: 767.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200511-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c5b75c7af51e71af917f042541f832d489b0c9cb43ca84552996c1a323d1a336
MD5 0cc6eef2c558bebd90c09f0cd56ca06c
BLAKE2b-256 fd6e1e6e208e764c5e9f0137739c4e42dce48f7f56337f012277803e8a946524

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