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>=1.3.0 --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-cu90>=1.3.0 --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-0.4.0b20190129.tar.gz (176.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.4.0b20190129-py2.py3-none-any.whl (243.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.4.0b20190129.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20190129.tar.gz
  • Upload date:
  • Size: 176.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190129.tar.gz
Algorithm Hash digest
SHA256 5fad490d977669eaf3327addeaefe010b49b0fb7b8fe21106c747a781dd98a19
MD5 c7227b2751f100f2e4f3c4c0dc097ff2
BLAKE2b-256 6a88ebf6447e92c8c8e3bd786b84e2cd44e340358ccd5cb20e6e15410dd92217

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20190129-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20190129-py2.py3-none-any.whl
  • Upload date:
  • Size: 243.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190129-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 843821d67ec6931c6058ce0d22bac9d438bc94253429c3c572743d1f25edb902
MD5 e01af28d0323522bbe7d9a9cafa11927
BLAKE2b-256 2f98e5ddee8bc7baa9cf0bb45ef7d42a17e625897802d8c13bdb74aab3dd7641

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