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-0.10.0b20201216.tar.gz (801.1 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20201216-py2.py3-none-any.whl (1.0 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20201216.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20201216.tar.gz
  • Upload date:
  • Size: 801.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20201216.tar.gz
Algorithm Hash digest
SHA256 c841d789c1e8abb1d651f47a78d819d40261ba9b123a29fc65d2892f0c128e24
MD5 dde598442a4c6a065ec4b31d3da6575c
BLAKE2b-256 abbbccb394066f5b09666cd610ccb2aedb01498f78abbe7503dc5ce7b2ddddf4

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20201216-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20201216-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20201216-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 356d662a872af814404143fd48f0a1def11f870c142d4d97abbcdab6b3f4a8bf
MD5 06562bab1e65c11057c641e562ce13a7
BLAKE2b-256 ac4eb51c0c417d99f7716a4bee46568abbeba663ea1edcaf7a37097cae06b5c4

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