Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

GluonCV Python Package

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

Metadata

Release files for gluoncv 0.11.0b20220524

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gluoncv 0.11.0b20220524
File Size Uploaded
gluoncv-0.11.0b20220524.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gluoncv 0.11.0b20220524
File Interpreter ABI Platform
gluoncv-0.11.0b20220524-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 2.3 MB

Release files / gluoncv-0.11.0b20220524.tar.gz

Download URL gluoncv-0.11.0b20220524.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
aaf07c92d8997b9058177e490fe99c1a3b84d988eebd27bd2481ea366071eff7
BLAKE2b-256 checksum
How to use checksums
6bd8dc9de7e62a6418c8e0ecf37d65d0124ac94ab6658a701c731f02845d2dce
Upload date
Uploaded using Trusted Publishing?
What is 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/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

Release files / gluoncv-0.11.0b20220524-py2.py3-none-any.whl

Download URL gluoncv-0.11.0b20220524-py2.py3-none-any.whl
Size 1.3 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
fad90a0c1090504ccaee4bfc603b55ef2da3e5ca3c3257f479b562a02367c092
BLAKE2b-256 checksum
How to use checksums
ce44f26d68892f668c9ed6d20f4dd93411121f21daf3a5207db0f73e6e13d309
Upload date
Uploaded using Trusted Publishing?
What is 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/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8

Release history Release notifications | RSS feed

This release

0.10.4

2 release files

0.10.3

2 release files

0.10.1

2 release files

0.9.4

2 release files

0.9.3

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page