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>=1.3.0 --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-cu90>=1.3.0 --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-0.4.0b20181023.tar.gz (172.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.4.0b20181023-py2.py3-none-any.whl (238.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.4.0b20181023.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20181023.tar.gz
  • Upload date:
  • Size: 172.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181023.tar.gz
Algorithm Hash digest
SHA256 ea14c9c3209554aebc34f343daacd11c7c3042848eb4a66e72b4f2363f81987c
MD5 5ffa9282d263dfa524fc96d26e949d4c
BLAKE2b-256 e312d9f4975b9126df1adb638cb3d6b39938d7864ebad978b8a76aad9b20ea9c

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20181023-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20181023-py2.py3-none-any.whl
  • Upload date:
  • Size: 238.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20181023-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0d37a18580a9de697805df1a102cd643163c91a18c77ac0ca9050972b82dbb9b
MD5 c0ed4b8786a8e2d99425efec10b17c82
BLAKE2b-256 5ab93d9d5f7aed5cd75d5b23f60c81992ec71a35ff8d9915acf97f0fa492e899

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