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>=1.2.0

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-cu90>=1.2.0

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-0.3.0b20180928.tar.gz (146.3 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.3.0b20180928-py2.py3-none-any.whl (207.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.3.0b20180928.tar.gz.

File metadata

  • Download URL: gluoncv-0.3.0b20180928.tar.gz
  • Upload date:
  • Size: 146.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.3.0b20180928.tar.gz
Algorithm Hash digest
SHA256 c90ae8c07c52be06b87a4f2d141d2489f1e78e8e3c33b25f45d8177c586be8d9
MD5 7e93807f351c7c8e168c72311251c112
BLAKE2b-256 ca2b49aaa8df28b8227129b95f1c0a789ea6200fedfee7acc36a57dbbfdf3488

See more details on using hashes here.

File details

Details for the file gluoncv-0.3.0b20180928-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.3.0b20180928-py2.py3-none-any.whl
  • Upload date:
  • Size: 207.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.3.0b20180928-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a0f100fe9870c75f7c1e3eb39ff76159c6a35ea17b19fcd6fba07e0aa553a8b6
MD5 5320e995ff33eb89605b9c9e2cba2ca1
BLAKE2b-256 36dbe8d9fa0d06e2102d3bfa7947e7672df7c0cb19198095f44d610b55322510

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