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-0.9.0b20201110.tar.gz (790.3 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.9.0b20201110-py2.py3-none-any.whl (991.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.9.0b20201110.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201110.tar.gz
  • Upload date:
  • Size: 790.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.9.0b20201110.tar.gz
Algorithm Hash digest
SHA256 b3de91e89e5869f46a375e290de9f99c9c8b2aebba71fd890a826819b8828921
MD5 036777b4202a7e61b98b23c561d1f936
BLAKE2b-256 8fefb17509ca919190c8cd7b99935d4f7fcd3bca8ccb90bafe41fe236e0bba8a

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201110-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201110-py2.py3-none-any.whl
  • Upload date:
  • Size: 991.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.9.0b20201110-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 91afa64a7a1cb123f7d4d39cd47000bc05928c73e3022ccd72d2332096feefda
MD5 4d0a11d36a65623588769e84aee253dc
BLAKE2b-256 51b20b6f797a5e6d4d0b9f2c86dbedd73a721c97df350d9c49e94569c44aeda1

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