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-0.10.0b20201214.tar.gz (794.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gluoncv-0.10.0b20201214-py2.py3-none-any.whl (997.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.10.0b20201214.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20201214.tar.gz
  • Upload date:
  • Size: 794.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20201214.tar.gz
Algorithm Hash digest
SHA256 d6162986369992ce8fc7361fac079854aaa4da7b4e7ae27095f22afbb9b97b41
MD5 33aac1fe176d4f0eb7e3dc4db2b6f42e
BLAKE2b-256 e2a0a353e511957d409721ec1f7648e5f48b559547b33343de40c6f115ff8054

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20201214-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20201214-py2.py3-none-any.whl
  • Upload date:
  • Size: 997.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20201214-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 43d3d7e12d8261c4e97d313e08aeef50f4869d887d3d61079e14be6852804680
MD5 66a13ed461a906db15f4eb2680d9b3a3
BLAKE2b-256 63841087fa0392cfcb2f4c4d838349e842a7673afc9fe7687da508ed35946f54

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page