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>=1.3.0 --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-cu90>=1.3.0 --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-0.4.0b20181026.tar.gz (172.8 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.4.0b20181026-py2.py3-none-any.whl (238.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.4.0b20181026.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181026.tar.gz
  • Upload date:
  • Size: 172.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181026.tar.gz
Algorithm Hash digest
SHA256 88901f8e981e9c78805de2734fd04a8c38fae09f761d4a1091aa22c3c3265562
MD5 99d42dd7e79cd1f6c25fac71728e549d
BLAKE2b-256 c1edf7dc3545f6a14969150b2750918e568294d85029c28e61b0daa12e58ae5f

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181026-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181026-py2.py3-none-any.whl
  • Upload date:
  • Size: 238.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181026-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3aa1f14b4a37d73d5092628ebcff03e7278092d3e6abbda61044d7f29b58895b
MD5 b690e3767f73e749a3b90105f7d2759d
BLAKE2b-256 b98591feed06d7ac81ab9e43565554101991be5cf537b788a84fb9a5e6bcb2ec

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