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-0.11.0b20211225.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20211225-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20211225.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20211225.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-0.11.0b20211225.tar.gz
Algorithm Hash digest
SHA256 886fce9abfcefe4a7e3bbfaaddfb4f642d47b3208dae8b40a6c06eb5893d1c2a
MD5 765c4fefba125fc5c0e10bff380028d8
BLAKE2b-256 e7bcdc21a7a12da8728859242946f91b6c628016dea3f47ca87f5258ad65f395

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20211225-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20211225-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-0.11.0b20211225-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 bcf906b9f077a55646336fc9240483626eb0f56c79d504f700f072032f8c8a23
MD5 ac23616c6b8a494f870e05c9973d6843
BLAKE2b-256 f3483b69b2d3e36201c1ec27834bdcb00de1e2635f37b953c7a85a7439e6f189

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page