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-0.10.0b20201215.tar.gz (801.1 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20201215-py2.py3-none-any.whl (1.0 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20201215.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20201215.tar.gz
  • Upload date:
  • Size: 801.1 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-0.10.0b20201215.tar.gz
Algorithm Hash digest
SHA256 015b18b55b4875816616378eb3d5e5a62756f263ffc513e9a4add9c7a7898a64
MD5 f1a9defcdaf49597b548fb09ff285e41
BLAKE2b-256 bfdb65ae3b6afc19d6bb84262c1352618613827663bcdd7b6feb176c9a810104

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20201215-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20201215-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • 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-0.10.0b20201215-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e690a1111cc1005e4a2d88ae45acfad8d1eb9c4fc202daa81d518c3d606ff2ed
MD5 c0391129e7584c42dc806633430ddcad
BLAKE2b-256 2ed89b50fdca6f62404fd90d2bf401e8ae3a3c475e8f353d877455f082b63290

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