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-0.11.0b20220815.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20220815-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20220815.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220815.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.11 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220815.tar.gz
Algorithm Hash digest
SHA256 38ad9bcd81894cd510d99f55604dc10c566574dcf9e3a75cd39f42d16c3d4713
MD5 ed83e802b4298be3af9da56d6e952727
BLAKE2b-256 7418e3562bae8e056f136a77b3b4a7980df53406a1cc29aedf1d4834f4f66f48

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220815-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220815-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.11 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220815-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4701fc6c3ee5217bd171ac0c73f1b40e809eb3167ae09123c0378833e2c265e8
MD5 c8fca32e40118b150c096345eba18c0e
BLAKE2b-256 d342cd83f04097aeb5e7eb1577edcbb770b6b26380fb8da60948ede5cf530a43

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