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-0.11.0b20210918.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-0.11.0b20210918-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210918.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210918.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-0.11.0b20210918.tar.gz
Algorithm Hash digest
SHA256 24c80268bf24cc98431470a78a00f625660cdd0afe362ac575fb56d33a03d499
MD5 cadfc019e03154508257a4a1beffdba2
BLAKE2b-256 7b0cdc08dc60acd9b41f612e24bbf23f96bb3a823ee44480a74d158087f8cfa1

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210918-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210918-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-0.11.0b20210918-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 35fb8ed53172377fde3afb0a4e33ce55a207db76157f267241e4c5ce28277014
MD5 26b0bc67540922e52441e99a790f48b1
BLAKE2b-256 a00f93d2ca97ec93bb0f04c1a460a344636047c1d368f488c4779c9102b81cf8

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