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-0.11.0b20220814.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-0.11.0b20220814-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20220814.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220814.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-0.11.0b20220814.tar.gz
Algorithm Hash digest
SHA256 cd4beb488cd42ec63848bb0f6aae112d4b7b015a0f8098473ebdcf848721e93a
MD5 0ece1e84a77befa7cbdfd6835ce40989
BLAKE2b-256 0ab874266d0323869ecd5d19130f21ceb7993ef7129e370e237e0ec6fa65df07

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220814-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220814-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-0.11.0b20220814-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 13ca0a08d8a6f4fb48655f7f1fe1558faeab9240dbbf4662a39fb933c34f389a
MD5 5fe309127497057121554b12b2e3964f
BLAKE2b-256 d5183486240bc48ba230a4863250263be6dc9bbcba452acc80b5a92380428ebd

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