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-0.5.0b20190615.tar.gz (269.2 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190615-py2.py3-none-any.whl (353.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190615.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190615.tar.gz
  • Upload date:
  • Size: 269.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190615.tar.gz
Algorithm Hash digest
SHA256 4b9913d4e8c7899477243ff5eb1056f5946a87adb2b8d500dfe87dd11ebba818
MD5 8d1ba22ce1f662dcffc67e611fc4493b
BLAKE2b-256 f599f5333b16894b3b2a3f6bbb2c679531bc7e2b0c5b58554e4a409ee95cd1b5

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190615-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190615-py2.py3-none-any.whl
  • Upload date:
  • Size: 353.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190615-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 388481ee424b84f9e956ef9d25161d8918f25ce4de36e4f95e5596cf7b166700
MD5 fe3a0fb3aaed7391e3e5205456b59a68
BLAKE2b-256 664c704415600912a62c84be82e278b0e8ed312da9fc653c6ab34aa47fb4c911

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