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-0.8.0b20200429.tar.gz (621.0 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.8.0b20200429-py2.py3-none-any.whl (757.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.8.0b20200429.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200429.tar.gz
  • Upload date:
  • Size: 621.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200429.tar.gz
Algorithm Hash digest
SHA256 d22fb93466b48cacd7b14782c584a92b68c6139a97b8eeda8d479d7750d2d83f
MD5 15c58b00e4402e40dfb76ecf1ddbaa67
BLAKE2b-256 7e178b3b7a644d28b81287279b8ce7c56ed6853ff690ded37c05086704c7aa8d

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200429-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200429-py2.py3-none-any.whl
  • Upload date:
  • Size: 757.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200429-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ef4b64ee50856892bac611e4a43aadccfb021a9495485847c12aead9af8bd3de
MD5 930a482aee9a819ab8ec6b5dad1de704
BLAKE2b-256 a8a22ae453fbeaefeb430e9f01cb1200a193ad7b1146cac86b37bf8f36c43fe7

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