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-0.8.0b20200510.tar.gz (627.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.8.0b20200510-py2.py3-none-any.whl (767.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.8.0b20200510.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200510.tar.gz
  • Upload date:
  • Size: 627.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200510.tar.gz
Algorithm Hash digest
SHA256 895e501c48747cd92b82eb3b797aef7a7e23bbe6b698310d44fb4c733423b489
MD5 626d32130ca1bb7a5740291a180a09c1
BLAKE2b-256 122b2e5a9ad287a592948897a9abda86688c39f9211df7f5b72129bd03bc529f

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200510-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200510-py2.py3-none-any.whl
  • Upload date:
  • Size: 767.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200510-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4fe75f680f192ecbf4809cf1c52c84cd5240883eeade2090f570847d698535c4
MD5 fa2b25c2ec8eb95d05cebfb7827da67e
BLAKE2b-256 a5f9d9835c7aa994e5530ca1775b80d33b829b064c33321ee83732cfc89913aa

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