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-0.11.0b20210319.tar.gz (847.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210319-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210319.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210319.tar.gz
  • Upload date:
  • Size: 847.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210319.tar.gz
Algorithm Hash digest
SHA256 073ffca29ef06dd19d486f1f65c395ae74c5bf6146af181824a075ab66004220
MD5 d99cdca96dc2906ecbd1de0e1f94cb52
BLAKE2b-256 ab9bb98a0d586367b02acec4f4540e060a31163b9fb208e6cd27b5bf9f83bc48

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210319-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210319-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210319-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f8003d97af4285f2773e763fc6df3a624b6b0af2ed5cc477c36e4d83cbf9690f
MD5 e99174fe8e997b92b53881806ecf2d85
BLAKE2b-256 dbe4b22a11ae8bb9f838d63cb7d0b0174ba87cd800e20a63959e0d8420dd728f

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