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-0.6.0b20200106.tar.gz (575.2 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20200106-py2.py3-none-any.whl (693.0 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20200106.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20200106.tar.gz
  • Upload date:
  • Size: 575.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20200106.tar.gz
Algorithm Hash digest
SHA256 a7114aea9fde365317382d5d99cacf7e70025581adf74340957617c525d2f9fb
MD5 58a02e788718f08931086279a6d916db
BLAKE2b-256 c3f541ef405aac7af51cebe5c60403cc3bae80d4f2f2be5b41d5306b9ed72ca0

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20200106-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20200106-py2.py3-none-any.whl
  • Upload date:
  • Size: 693.0 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20200106-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d2eaca8b4826b03227cd99bab48226386591de3848643c461da4a07431cb10e9
MD5 97e941e63bae0675c4bef7454514e54e
BLAKE2b-256 80bf517fa7398b1cdfba6c8b6be87de395be838678799749e3294069c44f4072

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