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-0.6.0b20191007.tar.gz (425.0 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.6.0b20191007-py2.py3-none-any.whl (527.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.6.0b20191007.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191007.tar.gz
  • Upload date:
  • Size: 425.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191007.tar.gz
Algorithm Hash digest
SHA256 86e5afae84bfd5599de772533c1816605f1f662261345311cccbb4044ae29d86
MD5 8bef5a39ea60946926bd98f56f98a27b
BLAKE2b-256 f48d7c476fc134f74af745e0bab07f289f8cd437944879ede2c2225b5a130e99

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191007-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191007-py2.py3-none-any.whl
  • Upload date:
  • Size: 527.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191007-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e1ef7ab4f670abf40bc5a123c11200806d6e75a2d16ef981de1a8000af44a43a
MD5 3bd0adbdda6ceaacd86efff2bccea687
BLAKE2b-256 b185e50a66d19caeb943a63c58cf5ae2c5358be7b9869a908b7841bb9cdbb8ef

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