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-0.11.0b20220318.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-0.11.0b20220318-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20220318.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220318.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220318.tar.gz
Algorithm Hash digest
SHA256 e75c9245dde7a849eb9b4757bfa6e54e3494fa834f6900bb1c5ed800a445eb57
MD5 c22fa22039556577a53d0d9c8ce776c4
BLAKE2b-256 554e2ff5201ebde5e20c5f5acdce118dba98ca2e6d3efa498f5a40cc088b29a2

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220318-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220318-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/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220318-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 41d154f172db5a9987b566e5e76c093cd97a273ebf4debf5407ed77c59393aa7
MD5 009cd42f4b21dbca3b4f3fefa6a2abfc
BLAKE2b-256 e9e35b9fe9eeb605774d9cc8d7cc4fa895f9b03f74570365c8887489784c2194

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