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-0.7.0b20200216.tar.gz (593.4 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.7.0b20200216-py2.py3-none-any.whl (725.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.7.0b20200216.tar.gz.

File metadata

  • Download URL: gluoncv-0.7.0b20200216.tar.gz
  • Upload date:
  • Size: 593.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200216.tar.gz
Algorithm Hash digest
SHA256 79a46b35a12d3de5f4c19537f67a01e34a540f9e527de4706f6e7015d9d56146
MD5 e5631aeaa3580627113b5e0507371667
BLAKE2b-256 47b2a1f446ac6b860ad3fd95c782305552614705fbf85af5bad0c1bcf46302cf

See more details on using hashes here.

File details

Details for the file gluoncv-0.7.0b20200216-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.7.0b20200216-py2.py3-none-any.whl
  • Upload date:
  • Size: 725.3 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200216-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6f54bffd74423f4b640425875e19dcd6f30ecf73fd176637776a7fd23102f86a
MD5 ee6c11628cdf90ed6aef07890a618cfd
BLAKE2b-256 f43256d8c00eeebea444901d2b5b339969796cabc0b44e349a6da80b7d2f373d

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