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-0.6.0b20191212.tar.gz (571.3 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.6.0b20191212-py2.py3-none-any.whl (683.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.6.0b20191212.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191212.tar.gz
  • Upload date:
  • Size: 571.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191212.tar.gz
Algorithm Hash digest
SHA256 ab69571854520468166c6f94286f175d804f29303d16c71b9d299aabc5ecf448
MD5 463f802e1fe2f0ca7c60afb7b02743d9
BLAKE2b-256 46ce12983279522f95cd04ef265069f02775a814fd029ea9e5d617685b2fbe38

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191212-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191212-py2.py3-none-any.whl
  • Upload date:
  • Size: 683.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191212-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 81967eaa9488dccd49caf8a7006c0e8b082553722bbf8212c5b0faf8f6fe2c4e
MD5 6c1d75c9e1669b25c3d607d6d7c38ca1
BLAKE2b-256 ab28f4f8c63a9a1018d670e9c979a0c3b5ac9be4df313a625e92efc1c26dde49

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