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-0.11.0b20210913.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-0.11.0b20210913-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210913.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210913.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210913.tar.gz
Algorithm Hash digest
SHA256 eb5fd5302feffca9ec1ebe58fbe24286390eaed576de93d060857bd91cc65ce8
MD5 f04124247ed00c9497dd1feca2c4eea9
BLAKE2b-256 0f43e808b57b599ee38f23a698926ea2dcf9df389d0d0cc6f1a409716b10d96c

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210913-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210913-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210913-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c3cea09a9c2667ec8191c921aa64ce5ddb8d2bccefa81400989ece2310f5e96c
MD5 d79978a8bee6f032abd4de2a746e16db
BLAKE2b-256 1014753292556be255024195a6a13039488e4c4e14c070af0866c843207edbf1

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