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>=1.2.0

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-cu90>=1.2.0

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-0.3.0b20180827.tar.gz (139.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.3.0b20180827-py2.py3-none-any.whl (197.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.3.0b20180827.tar.gz.

File metadata

  • Download URL: gluoncv-0.3.0b20180827.tar.gz
  • Upload date:
  • Size: 139.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.3

File hashes

Hashes for gluoncv-0.3.0b20180827.tar.gz
Algorithm Hash digest
SHA256 ccd334c9d1a8737cdc1dc11f1d0acbe76fad7dbc87c8f0d56f0dbac96f14dcfb
MD5 a1db2a0eff1df61d6691c1881f736df6
BLAKE2b-256 6531bf7de2111a8ffabfa0503d4c850076618be5ccb36655f8f96454c20beefe

See more details on using hashes here.

File details

Details for the file gluoncv-0.3.0b20180827-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.3.0b20180827-py2.py3-none-any.whl
  • Upload date:
  • Size: 197.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.3

File hashes

Hashes for gluoncv-0.3.0b20180827-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0b1a8d2b31057ab58e7963be1e1505851eeb5adf271cebf98c5619007313b31d
MD5 7c305f89275e83f765e38051b52ea400
BLAKE2b-256 bf9386093aab3d096ae7bfa6ca43a3eaf558ec3bc0c8d922cab456600bbe5277

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