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-0.11.0b20220613.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20220613-py2.py3-none-any.whl (1.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20220613.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20220613.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 urllib3/1.26.9 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

File hashes

Hashes for gluoncv-0.11.0b20220613.tar.gz
Algorithm Hash digest
SHA256 f04333009243dc29b0c9d3221100b09ebebbccc7fe8ba0e9a0db2709ab0a9b6a
MD5 7f91e0571761a2177590675e0c7497e3
BLAKE2b-256 55762bb0576657b4a0fdc110971dd082231b71dd159b40cf2a652f5e5f267bc0

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20220613-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20220613-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 urllib3/1.26.9 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

File hashes

Hashes for gluoncv-0.11.0b20220613-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 92c00e8e9b7c1e11933ac90ee86233b1a146575421b303b19a08a442f26a1c00
MD5 8aaf6515014362fb39515860b6163011
BLAKE2b-256 63827fb4f8d6df43a4af9c203872b18f6a9748a6381f86124b34c9b44e2d9276

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