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-0.9.0b20201124.tar.gz (793.5 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.0b20201124-py2.py3-none-any.whl (997.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201124.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201124.tar.gz
  • Upload date:
  • Size: 793.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.9.0b20201124.tar.gz
Algorithm Hash digest
SHA256 58ba9ccbe8804d9bea8aaf22e71a2cd4312cb209b162130bc15dcbfae9d9d06b
MD5 7317c84fc0b546812ef4e7fdef5864fe
BLAKE2b-256 53480a65f43606b499dfcfa1487e26107630697e3cbdb0e94fdd065b87329315

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201124-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201124-py2.py3-none-any.whl
  • Upload date:
  • Size: 997.2 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/50.3.2 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.9.0b20201124-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 20b3af43df84e7206eeed7e7748b0f8e065b9411adad438a92a473dbf6c465d1
MD5 049671bac42b6b0f08b4d70103c723f9
BLAKE2b-256 168552b21b0cc4c5ad38fda416f101f4d3d307dd1c5e02e631bd15dcd040480e

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