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-0.11.0b20210505.tar.gz (988.8 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20210505-py2.py3-none-any.whl (1.2 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20210505.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210505.tar.gz
  • Upload date:
  • Size: 988.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210505.tar.gz
Algorithm Hash digest
SHA256 263e9966f616391af91430e153206fa4ca6bb363da898e9c735f6e3f62ac7a7b
MD5 6140240d347000b06e3533408d905733
BLAKE2b-256 7ea4575e641e1401322b17893e9f7913a70fb82ce2db905c5cdadeb5db5ccdff

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210505-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210505-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210505-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0ff3b3c1010a3a55c15e02fc87b04c5093d3440f0d642c1099e5b24b4a66556f
MD5 a0e1a668796c612ff0ddb95aebe069e9
BLAKE2b-256 375e246daffd2310efdf7fe6619369b3493f73f3fae11743b3afaa41dd0420b3

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