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-0.11.0b20210401.tar.gz (851.4 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210401-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210401.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210401.tar.gz
  • Upload date:
  • Size: 851.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 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-0.11.0b20210401.tar.gz
Algorithm Hash digest
SHA256 7ef252d9685524fefc75212afa42e2795e7a4850000bf76e23fee245afdd5aa4
MD5 a160805121fd038e3610d81e8845acd9
BLAKE2b-256 50673e513f39ceb499d9f40b134399a1740d5aed82833c5c0172a66246291324

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210401-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210401-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/3.10.0 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-0.11.0b20210401-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c69d152e434c3e3d6cac9ee0bab5dd43f7887888790cd1aa47e1d51ca09436eb
MD5 6b5872ad46996da94eed1e198f3e956e
BLAKE2b-256 b5f6984f28c8c3e96504c162f4667f2e587bf003f0e39d7ffb75fd63d6b175e5

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