Skip to main content
Pre-release

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

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 0.11.0b20220605

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 0.11.0b20220605
File Size Uploaded
gluoncv-0.11.0b20220605.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gluoncv 0.11.0b20220605
File Interpreter ABI Platform
gluoncv-0.11.0b20220605-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 2.3 MB

Release files / gluoncv-0.11.0b20220605.tar.gz

Download URL gluoncv-0.11.0b20220605.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
6406079e4048ef61ff7274863003ea528e006555f4502803536df6450641221c
BLAKE2b-256 checksum
How to use checksums
5247d8a196e6110e849957c3c19a5d508b67faaf12371044e2e2598f4c0ed73e
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-0.11.0b20220605-py2.py3-none-any.whl

Download URL gluoncv-0.11.0b20220605-py2.py3-none-any.whl
Size 1.3 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
c6acbdbb3deaa037e508ec4740e5b206cc70a4d3f782255d25b5e6c299556edc
BLAKE2b-256 checksum
How to use checksums
f96c2af6ae35b0861bab27712a9534252b3d325ab6edc291c1ed9e15960633c7
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