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-0.4.0b20190108.tar.gz (176.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.4.0b20190108-py2.py3-none-any.whl (243.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.4.0b20190108.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20190108.tar.gz
  • Upload date:
  • Size: 176.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190108.tar.gz
Algorithm Hash digest
SHA256 2076112a34bcd5835ea9df1b4a18a4d34597bff5ff676a94bfaa0a01eb1aefc1
MD5 7f82b612bd43138037bf7424d66a2445
BLAKE2b-256 75da93b9ddfc27d65be14ccf05a458fce0a7b827dab701e5c654ca1f948bb154

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20190108-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20190108-py2.py3-none-any.whl
  • Upload date:
  • Size: 243.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190108-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d332605e0a12cfa18c93bbb454fbcb2ad3d102dfc46c70b4b9a748f6b039c870
MD5 be243334bc8cb758476b423710c80545
BLAKE2b-256 e76b39d873d306179f79536be7761f6c8dece7103358f60e480938803a6cec91

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page