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-0.11.0b20211220.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-0.11.0b20211220-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20211220.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20211220.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20211220.tar.gz
Algorithm Hash digest
SHA256 18cb06fcc898b3c09d37f2f81bdc8d0e65639f058dd0e09071aeb951272c97e9
MD5 cb937a37658718e48b24c612ba3a8644
BLAKE2b-256 da1ebdb256d4cf73c716a2c7403f05c0e17cf56b1d5238a8ae88f1d99230589c

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20211220-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20211220-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20211220-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 873cd6110031384d82c1481a10dee069c0ea82d971a2b6e43068d097b38756b9
MD5 502a6d1002c00a8b144657d15ccd76e2
BLAKE2b-256 9dffbaf7ec3c8f2b8ad3eee91aaa406266395d9d3161ebc6ebdb90438d355099

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