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-0.4.0b20181030.tar.gz (172.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.4.0b20181030-py2.py3-none-any.whl (238.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.4.0b20181030.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181030.tar.gz
  • Upload date:
  • Size: 172.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181030.tar.gz
Algorithm Hash digest
SHA256 d0041f0cee1c6623e433a8bdcf331588e9f6762798a4a4e2a8f760540621ee6a
MD5 47161454595492e9b26a2b1527a30ada
BLAKE2b-256 27239cff16e63bedb8e55bf52ba66bec00aa68d20706582ca25240e5620d46a9

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181030-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181030-py2.py3-none-any.whl
  • Upload date:
  • Size: 238.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181030-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1e9ae1635cb7215946d62fdb9cc3feba21936a9fb8bf8ebc3f550e0fb075f146
MD5 ba85137fe662c7e1f75b99fd84b06b94
BLAKE2b-256 6a97fe5ed03c731afc140e60b3adef321ddf1d9ca63ad35ecf62b017525296fb

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