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-0.6.0b20191103.tar.gz (440.8 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.6.0b20191103-py2.py3-none-any.whl (547.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.6.0b20191103.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191103.tar.gz
  • Upload date:
  • Size: 440.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191103.tar.gz
Algorithm Hash digest
SHA256 79d33a188f86d1b5c9abcbbd6cce7ed20d8bb32f3e62798e40ae65405fbc9c0a
MD5 f299f3224681510a9dda9006323cd705
BLAKE2b-256 302cf3e8e9e9044f7f8589294af548264fc458752cabf103ce5a0d9fb87f7367

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191103-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191103-py2.py3-none-any.whl
  • Upload date:
  • Size: 547.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191103-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 808fd1086c9a4e93f62c51d5ff504e67791e4b467dd2c7b169a4a4764f40a6aa
MD5 0941d239953e248f977f151476e5a360
BLAKE2b-256 bd962c0db00bd369b4a39ee5163cacbe53c2a5438157a6c9bdadb62a4074b2cf

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