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>=1.3.0 --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-cu90>=1.3.0 --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-0.4.0b20190111.tar.gz (176.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.4.0b20190111-py2.py3-none-any.whl (243.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.4.0b20190111.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20190111.tar.gz
  • Upload date:
  • Size: 176.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190111.tar.gz
Algorithm Hash digest
SHA256 1359727e950706b8439cd5727bf74fa239933f87856726e7ad3370a94035b450
MD5 45b849c1dc94b47808bce2a30ba7ea7c
BLAKE2b-256 3b1fd11dc2254c423328c080489b135272c0d6c169e7f1e55d195f143f09fa0f

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20190111-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20190111-py2.py3-none-any.whl
  • Upload date:
  • Size: 243.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190111-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e34a9a6b17652833ddfb188d026e17453c94e2a7724a2b484847bbe1eaf4c048
MD5 b6476bd60d8bf9c0b4a0dbc69a9debb1
BLAKE2b-256 11aca2f8a11376b9776d494e8660b87689c53e00466521ad1d5a80edf4d561e3

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