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-0.10.0b20210130.tar.gz (843.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.10.0b20210130-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.10.0b20210130.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20210130.tar.gz
  • Upload date:
  • Size: 843.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210130.tar.gz
Algorithm Hash digest
SHA256 dbf131bc28a09240c6edcc07112f470e79215ed21fcf643d817af99093ba16f7
MD5 c13451d3b6e75ee5a2e34bc8066aa069
BLAKE2b-256 e519d5365685be2561f68017fd310922d20a881af00367aa43d40d0b83996dc5

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20210130-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20210130-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210130-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a9834a035419616e183c2076c3515c0cffb71bb97d4903b38021a93239b9a0c0
MD5 f250aacff5d308d915e0fea5e8ee340e
BLAKE2b-256 749b8e8ffaacb72a8bc2a9323ecb49550b589a5c92630c4fac6dd72b086f0470

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