Skip to main content

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>=1.6.0 --upgrade
# for installing gluoncv with all dependencies
pip install gluoncv[full] mxnet>=1.6.0 --upgrade

To enable different hardware supports such as GPUs, check out mxnet variants.

For example, you can install cuda-11.0 supported mxnet alongside gluoncv:

pip install gluoncv mxnet-cu110>=1.6.0 --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-0.11.0b20210709.tar.gz (991.4 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210709-py2.py3-none-any.whl (1.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210709.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210709.tar.gz
  • Upload date:
  • Size: 991.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210709.tar.gz
Algorithm Hash digest
SHA256 782a044979b368c088a5fb628e92eaf6ba42a483a8ca6658f74da296e86ee9e5
MD5 9e10cf7fd2f8fd039be72592f4b4597d
BLAKE2b-256 e3da8682d01c213227ad6f732b3d75b43d04335cdd5b8c2bc0786fb5f6c9842d

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210709-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210709-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/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210709-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 727ee933faca1d4207e2c0ed8fc75c1ddb87e26c4731bea04fa791505e481c68
MD5 fc28aa622c6acdaa439522bb5d4af5a9
BLAKE2b-256 3dd54358eb3e32bcf669b80d22b1d1ebc412cdbd5e9ead391993aefc052e9c08

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