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-0.7.0b20200317.tar.gz (602.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.7.0b20200317-py2.py3-none-any.whl (736.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.7.0b20200317.tar.gz.

File metadata

  • Download URL: gluoncv-0.7.0b20200317.tar.gz
  • Upload date:
  • Size: 602.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200317.tar.gz
Algorithm Hash digest
SHA256 7461ec5567f23dad9b2208870bb56e04af8b40814f21e8e44475bcdd80f9c113
MD5 f5bf886db97ce81117f724398e304a67
BLAKE2b-256 067ebed29eae2d0fcc1a36b499683a5979437dcd8bdb2e5c3c016be5ee4a50aa

See more details on using hashes here.

File details

Details for the file gluoncv-0.7.0b20200317-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.7.0b20200317-py2.py3-none-any.whl
  • Upload date:
  • Size: 736.1 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/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200317-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6f07b2aee3722cfb9dfed3027cfcfdfba9e78517802f4e044114a846ea1e735e
MD5 f04841e112e6e141f3ee38fe06df52d4
BLAKE2b-256 3c252a6798acc596cb6fb1ed5c70fe03766f5a222f3d7d9971bed8e8ddd20195

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