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-0.6.0b20191107.tar.gz (444.4 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20191107-py2.py3-none-any.whl (552.0 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20191107.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191107.tar.gz
  • Upload date:
  • Size: 444.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191107.tar.gz
Algorithm Hash digest
SHA256 f072f48f597b99fddba32321828885888a1d9e5fba2a2243b013166628e88284
MD5 9409bf7a7196f061b369ebc2171a245d
BLAKE2b-256 3aead99ebe31e45cac1c449f73f94ea725a8986f83aff643855183c70ea18f31

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191107-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191107-py2.py3-none-any.whl
  • Upload date:
  • Size: 552.0 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191107-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8882af290742f8ccd3253f0bd82ba843c082cfff2ee45c008a7b33e549ffc2db
MD5 d588bbaffbed2748ea6b6c47609564a0
BLAKE2b-256 eb2730ca5b0ef4999f94f05667dfb44ba4f33783357537083a135c405220037a

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