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-0.6.0b20191101.tar.gz (440.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191101-py2.py3-none-any.whl (547.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191101.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191101.tar.gz
  • Upload date:
  • Size: 440.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191101.tar.gz
Algorithm Hash digest
SHA256 70dafca8afa17aaae86de957c06ca2247f88dcc3e902282fee168d5082405532
MD5 86d9549cbf52b55c9ae7b016145e7eaf
BLAKE2b-256 bb9765036efdb3f24145d389694f2b32061f02f42542d4441b70c6d1db958730

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191101-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191101-py2.py3-none-any.whl
  • Upload date:
  • Size: 547.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191101-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ca9b55e150e944dffcf9910d108c879d7ffa7b626d5fc38def9137e002b09bb8
MD5 4e0c94999a4157a76b4305aa1f66946a
BLAKE2b-256 4b03367fc71aa8452e9cbc8dcedcd2bd43dd59e19ee15b464536cc3c52899c49

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