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-0.4.0b20181118.tar.gz (172.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.4.0b20181118-py2.py3-none-any.whl (238.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.4.0b20181118.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181118.tar.gz
  • Upload date:
  • Size: 172.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181118.tar.gz
Algorithm Hash digest
SHA256 56ecc15fa875c19c43c66d7bf053ea1904754fa1b8c199581a67b37d8aba331c
MD5 258970e9ab75f26582e1d4d7706a0a43
BLAKE2b-256 0e59f998f25d50173e7f10279845e186fd408d21ec7a1be622ce52dbed975159

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181118-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181118-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/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181118-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 017e6a6395dca96d9bd2e6210525c3a5070effbcfafb7fac8eeacc8cbdbbbe02
MD5 5db91947df34487652055f42dc2685ad
BLAKE2b-256 45369951ba807b094db753a45951dcffc7b62050849204b3c32e7448a41f9d22

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