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-0.8.0b20200723.tar.gz (657.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.8.0b20200723-py2.py3-none-any.whl (810.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.8.0b20200723.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200723.tar.gz
  • Upload date:
  • Size: 657.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200723.tar.gz
Algorithm Hash digest
SHA256 a0b42fb35e0f01f2488c0ac4645c1345a66047363c843f3a8906b49e238a302f
MD5 be08aae23903aa6c2d31f84308e8e670
BLAKE2b-256 2015e1ceffd8740fd43fe01de9d6ec3ca2abdb67510a29766a612e5fbf39c6c1

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200723-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200723-py2.py3-none-any.whl
  • Upload date:
  • Size: 810.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200723-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c6d310eaaf11cca6552069827735f08d162c926a27943c5ab697b77e91f87b92
MD5 08c12f8691bbf829d685447edb0424b3
BLAKE2b-256 9be2e138bc277a906ab5ba6240924a679c63b1ef196b75a9f8521fe014b10d12

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