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>=1.3.0 --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-cu90>=1.3.0 --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-0.4.0b20190217.tar.gz (178.6 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.4.0b20190217-py2.py3-none-any.whl (244.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.4.0b20190217.tar.gz.

File metadata

  • Download URL: gluoncv-0.4.0b20190217.tar.gz
  • Upload date:
  • Size: 178.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190217.tar.gz
Algorithm Hash digest
SHA256 1ab649633f79566214aa20546430c00bb66916b823932b8ce12dd1f8d660cbb9
MD5 f3ecd793524e545e913c62e0f25b32a3
BLAKE2b-256 2e2d5602eeaf9fe0ea7b98f1315045b5c172b6858958d2d8ff6837d96a34526d

See more details on using hashes here.

File details

Details for the file gluoncv-0.4.0b20190217-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.4.0b20190217-py2.py3-none-any.whl
  • Upload date:
  • Size: 244.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.4.0b20190217-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 af2b7ed98e761453897486de81b54d233f734ca18e2abd64d5b07c90de814ac4
MD5 dc25dee6e6fd10978770f7bc2a2a64c5
BLAKE2b-256 934777aac6a1269c75b7459469ac75dc2115d1f66019087da048f646ba14f361

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