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-0.6.0b20190909.tar.gz (416.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20190909-py2.py3-none-any.whl (511.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20190909.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20190909.tar.gz
  • Upload date:
  • Size: 416.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20190909.tar.gz
Algorithm Hash digest
SHA256 78641038d83f084c1132dc006683c7b4b9d58ccebc2dd886eaa79c949d52397e
MD5 12e37999ed71ae5ae1d1abec7aaa1143
BLAKE2b-256 ac80e60fb5bfa2fa9456e80904d908e36c479b0d140aa4c0712d6addbc8e4d7c

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20190909-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20190909-py2.py3-none-any.whl
  • Upload date:
  • Size: 511.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20190909-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8e6f03e7c7e4fbb1a3d4257adda1c70f6f7152ba7671cf42ac67e6958688fef3
MD5 855c540ede73e891ce39a3510b60c469
BLAKE2b-256 e4302fbee1ed59c63d648cf876cd4208a7b73fa2c47ea05e1a46092a692037b4

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