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 0.11.0b20220613

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 0.11.0b20220613
File Size Uploaded
gluoncv-0.11.0b20220613.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for gluoncv 0.11.0b20220613
File Interpreter ABI Platform
gluoncv-0.11.0b20220613-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 2.3 MB

Release files / gluoncv-0.11.0b20220613.tar.gz

Download URL gluoncv-0.11.0b20220613.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
f04333009243dc29b0c9d3221100b09ebebbccc7fe8ba0e9a0db2709ab0a9b6a
BLAKE2b-256 checksum
How to use checksums
55762bb0576657b4a0fdc110971dd082231b71dd159b40cf2a652f5e5f267bc0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.3 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-0.11.0b20220613-py2.py3-none-any.whl

Download URL gluoncv-0.11.0b20220613-py2.py3-none-any.whl
Size 1.3 MB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
92c00e8e9b7c1e11933ac90ee86233b1a146575421b303b19a08a442f26a1c00
BLAKE2b-256 checksum
How to use checksums
63827fb4f8d6df43a4af9c203872b18f6a9748a6381f86124b34c9b44e2d9276
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.3 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