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-0.5.0b20190604.tar.gz (263.9 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190604-py2.py3-none-any.whl (346.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190604.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190604.tar.gz
  • Upload date:
  • Size: 263.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190604.tar.gz
Algorithm Hash digest
SHA256 84d2e6ff5ec92e613e0247334a8eab720d16667976f3c4d530444539da6deb5e
MD5 a95ceb45c772a4c7c489e534b5e6e875
BLAKE2b-256 82f0a22f56994fd8e3e3535fcb5657e2b4cab1b17e9d9e3cbb4647e20c01459f

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190604-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190604-py2.py3-none-any.whl
  • Upload date:
  • Size: 346.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190604-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 55d461446fad341ab3bec7e9ac24bbb284d95e59539b6a7b9994609c9622dc9b
MD5 9e7b717e4a4d94208aa7b3968cc2bc6b
BLAKE2b-256 7547bde8e54c2aa46aeaf841278f110c52ee9dbbf9403cad9e3b05dfa1c458c6

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