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>=1.2.0

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>=1.2.0

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-0.3.0b20180720.tar.gz (98.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.3.0b20180720-py2.py3-none-any.whl (137.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.3.0b20180720.tar.gz.

File metadata

File hashes

Hashes for gluoncv-0.3.0b20180720.tar.gz
Algorithm Hash digest
SHA256 8cf4a84b63009977dde8d51dcb6359f052da0d6b9354d1897e4a2fd929dd0c2e
MD5 f816904b09434de9e330d558f80da002
BLAKE2b-256 4405b4bf7ac436762b2db9eaf7df9e36e55ee7eae986cd6b825af6f72dc580f7

See more details on using hashes here.

File details

Details for the file gluoncv-0.3.0b20180720-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gluoncv-0.3.0b20180720-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f458b22bbffe7a5de8e8bd90ae6ce7947cded0b61217790a01fd2455151a88bd
MD5 91da4a7c04dffbdc9f3411ffdbd193dc
BLAKE2b-256 8b41cf7d407846dc5c5bc89c8445adada57252b3be2a23f301bccf2001909265

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