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-0.6.0b20191126.tar.gz (461.1 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191126-py2.py3-none-any.whl (573.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191126.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191126.tar.gz
  • Upload date:
  • Size: 461.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191126.tar.gz
Algorithm Hash digest
SHA256 2bb6dd85f0b15ba04ed17f75dddb9e22381229e716fbdd100e564f59e377a824
MD5 610013c5daded99fd432c8636a9db081
BLAKE2b-256 489302b44c361f432e9eda11e9cf058949fea15a3db5205e406a379a9be0a6b6

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191126-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191126-py2.py3-none-any.whl
  • Upload date:
  • Size: 573.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.1 requests-toolbelt/0.9.1 tqdm/4.39.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191126-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 89c5b67e9a862c6bd749ec0920bb46f345347f3d4d6c96bc139cf6cc790aaaf2
MD5 a4abe815d12cb893b793965c3d8a7653
BLAKE2b-256 82d525d44a33add0ac57440a6430040fbdf712e1c16260695bfa99ec400c239c

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