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-0.8.0b20200508.tar.gz (627.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.8.0b20200508-py2.py3-none-any.whl (767.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.8.0b20200508.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200508.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-0.8.0b20200508.tar.gz
Algorithm Hash digest
SHA256 2bef5f1dba771304f2c63041917753ca1a47f5a2d58927978a9ff44cdc0d4b38
MD5 2a2f8fcb293ede2a584c7112400efa24
BLAKE2b-256 0c8222f5833263cedec63b00b32de2d8f90cbb87f3f5c2eb9b8808bbd19d7412

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200508-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200508-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-0.8.0b20200508-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c0f0b7b44478b8219c8e7c65a949b1cd3091b778a319bc1665c330a4b32148e7
MD5 fa544975d596e89c1bd749750d4d578e
BLAKE2b-256 2aa7416d92333064567bf2efb5a3b2f6f76f0d8de0ef66307ee581a60996458b

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