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-0.4.0b20181031.tar.gz (172.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.4.0b20181031-py2.py3-none-any.whl (238.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.4.0b20181031.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181031.tar.gz
  • Upload date:
  • Size: 172.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181031.tar.gz
Algorithm Hash digest
SHA256 b6c8583837793ade60aaab96cd58b69fda8b36b5743292f5de07acbb15f596b5
MD5 8706ae8ae6300e71fe41270b806cdead
BLAKE2b-256 79fb10aba82bb9ebbccadb8b06e30eb81996e463f694078292108e1c528f2441

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181031-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181031-py2.py3-none-any.whl
  • Upload date:
  • Size: 238.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181031-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2809db0a3cd21858ed97b05295be832dc2eaf11514d0fc3d0c0341a36fc14752
MD5 034af4f3388c5e4af0c047b43e9ad754
BLAKE2b-256 44231426da156c3a52d5d70ed92bc7040de4ebe6092cddf70d62bed7169f33f3

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