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-0.11.0b20210603.tar.gz (989.0 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210603-py2.py3-none-any.whl (1.2 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210603.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210603.tar.gz
  • Upload date:
  • Size: 989.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210603.tar.gz
Algorithm Hash digest
SHA256 b8bbc72a55c3913c0622e48966a5eedac6cc05d26baf62d610487a5527d66c1c
MD5 980be982e84df9c36a57d2ca50833d85
BLAKE2b-256 af687fd9db0ab651ea00351340c7475a3a3f75db1cdcdccbb200ea661b239078

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210603-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210603-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210603-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5a521ef89073b7a4970a801ab874dc42577edcc11b7d1e6ff4cea4b104c984b4
MD5 934d95df5edaec86bfc6351487630374
BLAKE2b-256 8db05d4112091e0907e9cbe4e90904f691f36da23405a4ab0d0bd46047561207

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