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-0.8.0b20200521.tar.gz (631.0 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.8.0b20200521-py2.py3-none-any.whl (771.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.8.0b20200521.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200521.tar.gz
  • Upload date:
  • Size: 631.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200521.tar.gz
Algorithm Hash digest
SHA256 28ac30f135004df718e308b56a34b65c53ef0f105859d2faa004265a6ed69c69
MD5 946388bfb284cab9ec6ee4ab84acd233
BLAKE2b-256 ed55b5e4824b7e63e2f9cc50d0ff5808bf775ea6f18cd074184f609259dd0c9c

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200521-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200521-py2.py3-none-any.whl
  • Upload date:
  • Size: 771.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200521-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 13782b2f13a30fe6be4ab6e085ea2f0522b14008f1c0b4b806ddc0196674a94e
MD5 5d12bf174fb88732b446637ffa6e8f0c
BLAKE2b-256 26b8581c3cf2e722393fcebbe2f78779ff036f36243fc7f2c2b4530dc8d4172d

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