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-0.5.0b20190416.tar.gz (261.6 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.5.0b20190416-py2.py3-none-any.whl (343.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.5.0b20190416.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190416.tar.gz
  • Upload date:
  • Size: 261.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190416.tar.gz
Algorithm Hash digest
SHA256 029a9753b458ef007c23c680290cca3923be2e693c943c3ad8f8d32fbd2c7a58
MD5 3e7a1d76ebb23adc22a847530a3e7c7d
BLAKE2b-256 e9eeb3a0ac9639035a1c94bd4e862a4ceaba64623f7f5bd45665f7ffdaeffb46

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190416-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190416-py2.py3-none-any.whl
  • Upload date:
  • Size: 343.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190416-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f8f617c5b950c6ddc83926ecdb92005640f89a6676409ad3d4898543dfa5cca2
MD5 cc7fb46e661efc750a78efbc13a98829
BLAKE2b-256 de3464de71fc2f1c3f9193eeaaa419c1f2f5e484d5de898023c46002a41bddd9

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