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-0.10.0b20210108.tar.gz (842.0 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20210108-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20210108.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20210108.tar.gz
  • Upload date:
  • Size: 842.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210108.tar.gz
Algorithm Hash digest
SHA256 75f7dfd66fef77a78e8ef26cb8511175dfa29146289df678c7b46e627f89cc24
MD5 07914b4ed4e1a587e306144e422fa10a
BLAKE2b-256 f43a8b34595a91a8480cb5e5a71e3c085595af86d309a5c30218edf14dfdbd2a

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20210108-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20210108-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/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210108-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 48d7aa8fec3b17a38882bb96e3a93bee23c8ac1a24f274d03e72a84b8720794c
MD5 6be0726254ec5752e40a308b4343f532
BLAKE2b-256 a66cd6b237c96a08065ba5b4fcc4167ef3fbc9a2f838139672227b4440d80913

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