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-0.10.0b20201209.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-0.10.0b20201209-py2.py3-none-any.whl (997.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.10.0b20201209.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20201209.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-0.10.0b20201209.tar.gz
Algorithm Hash digest
SHA256 2495292379cbba8588e5f40cca0df561895169e3560a51f0084bbf037d9b9806
MD5 0c087f3cd5f7d1abdf3963a1a3e1bbc3
BLAKE2b-256 f57492092a4f9a0f922389834766056033e1f8bebd993d62b5d344b611e47b72

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20201209-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20201209-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-0.10.0b20201209-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 20b90b754a95e9bc95ff90c1e2387d00af3b129a3098b4013630f84089237204
MD5 06edf284db94174c2b066c9112d0c399
BLAKE2b-256 b4aaeb92d533678a803e292ca6f18e1b8d32bdfd1b0b040c58ca7a84f88b727d

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