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 0.11.0b20220508

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 0.11.0b20220508
File Size Uploaded
gluoncv-0.11.0b20220508.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gluoncv 0.11.0b20220508
File Interpreter ABI Platform
gluoncv-0.11.0b20220508-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 2.3 MB

Release files / gluoncv-0.11.0b20220508.tar.gz

Download URL gluoncv-0.11.0b20220508.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
662f20fcc40451418bb833ef8bfe21c31703a19b0aef2b7bd9bf1b2fee60381a
BLAKE2b-256 checksum
How to use checksums
e77082b842a60441ae1c673390208c1982ad058ed78ca1c9907b79621d64e093
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-0.11.0b20220508-py2.py3-none-any.whl

Download URL gluoncv-0.11.0b20220508-py2.py3-none-any.whl
Size 1.3 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
ad1b0e66b84b8cda3a6a957cbb563d9e81bb98144eb4a9bff74641e5b1042e03
BLAKE2b-256 checksum
How to use checksums
36e9ed8cf247fe31cb32d1e529e86408bf41aef377594d3f14dbd0e0d35b9937
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