Skip to main content

Gluon CV Toolkit

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gluoncv-0.11.0b20220829.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20220829-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20220829.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220829.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using 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 urllib3/1.26.12 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220829.tar.gz
Algorithm Hash digest
SHA256 48d3de302a4335c41be986992e46f19f6bc70f864972004ed077d2a6897a88e6
MD5 3800b1f58b6af2e78076db8e77db819f
BLAKE2b-256 e9f43863a998048668c1dcfa833fea03506df430a16af19a52f28171431c6d71

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220829-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220829-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 2, Python 3
  • Uploaded using 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 urllib3/1.26.12 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20220829-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 260de92bbac32606abfc7c39b93c7236a208847c259b34c9b24874c38118f2e8
MD5 a2e78d13f635bee2a15eb4a29a64990d
BLAKE2b-256 12afeee672f83bfd7e38a58a5f79a3077d52d2f3f4a25ca8f7f380cc4b79c680

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page