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-0.6.0b20191104.tar.gz (440.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191104-py2.py3-none-any.whl (547.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191104.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191104.tar.gz
  • Upload date:
  • Size: 440.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191104.tar.gz
Algorithm Hash digest
SHA256 f67857df0edaf3a96427256b0f76bb006daee4c81ff317e7d40be7d9c8a9f5be
MD5 434378ed01318f7fe2d382c9e69c189f
BLAKE2b-256 2b9c60d9cf1e78b1997dd6b8d8d023e83b7eb48678f612abf1946b46dcd43810

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191104-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191104-py2.py3-none-any.whl
  • Upload date:
  • Size: 547.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191104-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b338fcf4919111f9271d47fc5c54404bd19c56501e8a2811f09371f2c7703d75
MD5 5ae8ef7c098a2e79598faef35f1fc991
BLAKE2b-256 aaf18f55edb47b5b76f6d410702a5032d7b8304d903d98b38c66d0547a7d003d

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