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>=1.2.0

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-cu90>=1.2.0

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-0.3.0b20180911.tar.gz (145.5 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.3.0b20180911-py2.py3-none-any.whl (205.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.3.0b20180911.tar.gz.

File metadata

  • Download URL: gluoncv-0.3.0b20180911.tar.gz
  • Upload date:
  • Size: 145.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.3

File hashes

Hashes for gluoncv-0.3.0b20180911.tar.gz
Algorithm Hash digest
SHA256 a4ed550b4ce3b514b6375cb56933b1f29348b57e3bbff8b1a5f05566c39f4555
MD5 300bb0a93ad4650635d528ba17c3b634
BLAKE2b-256 c9a5e6f3c8828b4f7bc480102ff46079ff4e42b776858e432763e6ae3a513ac6

See more details on using hashes here.

File details

Details for the file gluoncv-0.3.0b20180911-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.3.0b20180911-py2.py3-none-any.whl
  • Upload date:
  • Size: 205.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.3

File hashes

Hashes for gluoncv-0.3.0b20180911-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 16591db7758a689555257e4265f143114745890619d5637cacd6e4d9b70b25d8
MD5 efb3322f66c67532f05d0bb3fd815657
BLAKE2b-256 688d63f90c6a4e495480d9a78702d7097fc75499714716f82cdc94708517632b

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