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-0.6.0b20191026.tar.gz (436.3 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191026-py2.py3-none-any.whl (541.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191026.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191026.tar.gz
  • Upload date:
  • Size: 436.3 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-0.6.0b20191026.tar.gz
Algorithm Hash digest
SHA256 7eb66e68a1f98e106df36bcef699bea97646ffbe0b4037eb5d6bc4c6185890a5
MD5 4d339440553683d1cee47acffd22e78b
BLAKE2b-256 2090f582623d472595ab4e176243813934b9cff2e00d5a7c3aa7f5757a60f4d6

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191026-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191026-py2.py3-none-any.whl
  • Upload date:
  • Size: 541.8 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-0.6.0b20191026-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8986cffba46220c79061e314dd108054513cfc6885fd46669bf8ab8bcfc6d7ab
MD5 f30b59a346c30f75cfc06e46eb0ef3be
BLAKE2b-256 15686b0549d2ab5f6a5f5b3425eb18b254f9a24c2be262352bb116e4c722f179

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