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-0.6.0b20191011.tar.gz (427.3 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191011-py2.py3-none-any.whl (529.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191011.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191011.tar.gz
  • Upload date:
  • Size: 427.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191011.tar.gz
Algorithm Hash digest
SHA256 73ece4ca0f58f10d3d6bc94274cf570b5583c1b48f8b89dfe8a03497f9fbed26
MD5 e8cbe0c6bef72612b286420345fad117
BLAKE2b-256 e47e55cac8793bb1c3f9f0a98ca01620685c99e541d239d33b43f3f35b5173f0

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191011-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191011-py2.py3-none-any.whl
  • Upload date:
  • Size: 529.6 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/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191011-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4d83eb6900a69ec3fe1e20619e8fff797cd25d65c3c304ed88bf0c5563753693
MD5 69808c055f5676522559385347744062
BLAKE2b-256 6df3643ce7a1f27d9d0e49c2564b61bd140e19fb6c02623064d66b264606bece

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