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 0.11.0b20220303

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 0.11.0b20220303
File Size Uploaded
gluoncv-0.11.0b20220303.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gluoncv 0.11.0b20220303
File Interpreter ABI Platform
gluoncv-0.11.0b20220303-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 2.3 MB

Release files / gluoncv-0.11.0b20220303.tar.gz

Download URL gluoncv-0.11.0b20220303.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
027bcf85cb6f468c5a14ca60046f4800316e45d3d344c3d78c7c8bd76fdac61c
BLAKE2b-256 checksum
How to use checksums
b29e6d95d0d63007c910943b9e03e4e90d42e4ce932e3efc53c792d09dd2975c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 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

Release files / gluoncv-0.11.0b20220303-py2.py3-none-any.whl

Download URL gluoncv-0.11.0b20220303-py2.py3-none-any.whl
Size 1.3 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
be95a67bbb09a14a044f8e2fd25751a9c3830809f010994d0ee039a78b302077
BLAKE2b-256 checksum
How to use checksums
ad20184912164dc3822c8a58ac1c52a3e9cda2b84110133838cabd659e226486
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 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

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