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-0.6.0b20191220.tar.gz (573.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.6.0b20191220-py2.py3-none-any.whl (689.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.6.0b20191220.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191220.tar.gz
  • Upload date:
  • Size: 573.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191220.tar.gz
Algorithm Hash digest
SHA256 07b117f39d02ac5b25ae39d4e2ec42c388c85ddcdf05f76ec8a53ff761412bd5
MD5 1fa23d20995d416a400efcf2b1c841dd
BLAKE2b-256 8f0b6717c195d5309856fc4fb6078cf45a5484b32725da5f2374dc19bec95955

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191220-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191220-py2.py3-none-any.whl
  • Upload date:
  • Size: 689.9 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/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191220-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a2d7f51fd3e3d801c915c2cdad2a81015e3816a2290c6fc83f9b3ba08e2457a5
MD5 34a3f9783678e814c83bb85812f244ed
BLAKE2b-256 ac7cf85a6180c094750e6dfb5b679db941ff3a8620cea082367118b28a30fed6

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