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-0.3.0b20180719.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-0.3.0b20180719-py2.py3-none-any.whl (137.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.3.0b20180719.tar.gz.

File metadata

File hashes

Hashes for gluoncv-0.3.0b20180719.tar.gz
Algorithm Hash digest
SHA256 ae1e0cdc4fd4e3cbc9c11281091a9d6b919c9bb80678c2c1642b1b1431c7baee
MD5 18461596c09491d6babb6f89c88655c8
BLAKE2b-256 13d328e95d1c0d85ad2add665dcbe7cff55c6ff69c2abfd93687af01b80e2952

See more details on using hashes here.

File details

Details for the file gluoncv-0.3.0b20180719-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gluoncv-0.3.0b20180719-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 89798b37aa460deb41aa93fa1c061682aa08a69381300ac4923b72cdfd905015
MD5 46563ee431255897014682a095e7ced1
BLAKE2b-256 068322d8ca183d58958ccdb2a2af8f2349ebd5d593dc84dc8c5d9cd74c28a7db

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