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-0.5.0b20190717.tar.gz (274.1 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190717-py2.py3-none-any.whl (359.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190717.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190717.tar.gz
  • Upload date:
  • Size: 274.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190717.tar.gz
Algorithm Hash digest
SHA256 517d1c5f39fb4b60782e66de3cc0395f6a7cfb1f52e07c83165e139611e8ceb7
MD5 5d691be9b71699a71b0886bacb3e2f62
BLAKE2b-256 f8e6f8c66cd0482076ca395774ea6479693f027866948c2b0f9abd22b835fd42

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190717-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190717-py2.py3-none-any.whl
  • Upload date:
  • Size: 359.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190717-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0a4e93422dbec153286228aa96c8bfd9d9f6e88057967c9f248f2b21d90c22a4
MD5 53fee43aafe18d67d8adff90225c3b91
BLAKE2b-256 ab07ef1fa85210e458ec1835a92bf694b7473096083d83dab81dc8915734e854

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