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-0.10.0b20210206.tar.gz (845.1 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20210206-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20210206.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20210206.tar.gz
  • Upload date:
  • Size: 845.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210206.tar.gz
Algorithm Hash digest
SHA256 e2fb02451e45742d6f6a4e2b4afa7a516067c64e00afb02490dc0c9f8aea6d37
MD5 b12fa6a60db0214c4be707c31e3978ed
BLAKE2b-256 f1298d7a3ba909326c65f9e6961f4b1ab49e965a23e80011cfdfdd6d548a678d

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20210206-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20210206-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210206-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6dad86415f0a065fa5388300f137e96b04a5e66b810739bd283eaf428a324a60
MD5 bcf18485ba4f8bd05521023125c5b849
BLAKE2b-256 38fb654be92f405a083e529193c26b0dfb6fb81f5f21e8ead2d9b1487c20a9b6

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