Skip to main content

MXNet 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-mkl>=1.4.0 --upgrade

To enable different hardware supports such as GPUs, check out mxnet variants.

For example, you can install cuda-9.0 supported mxnet alongside gluoncv:

pip install gluoncv mxnet-cu90mkl>=1.4.0 --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-0.11.0b20210329.tar.gz (851.4 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.11.0b20210329-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.11.0b20210329.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210329.tar.gz
  • Upload date:
  • Size: 851.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210329.tar.gz
Algorithm Hash digest
SHA256 50418ed7506d71657ca02448f164d7820208b6e03b6a0a5a25637438d6e4ef9f
MD5 8e0d7a7d15be2bb1deb4f05f73f408b6
BLAKE2b-256 11a19c6c42094cd8e1d19d6933d14aca70bc06f7e5e8ba57868f6ab3e11ec453

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210329-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210329-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210329-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 45b0d111a7d4d9b6a8db693c2a46fa3e4ea768baf0b7358b8e6c6eb38dbbda7f
MD5 2f78bf898a4806f119933eb070334946
BLAKE2b-256 55eb6639d90f5d220d8b6187f7795d8415d9a84dd047db3a29734f6843ddbc61

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