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-0.7.0b20200327.tar.gz (603.8 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.7.0b20200327-py2.py3-none-any.whl (737.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.7.0b20200327.tar.gz.

File metadata

  • Download URL: gluoncv-0.7.0b20200327.tar.gz
  • Upload date:
  • Size: 603.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200327.tar.gz
Algorithm Hash digest
SHA256 6d39727d91704125c7debd132dfb27cc303ec6ccd660f8fe51bc4e475fbc68f1
MD5 bb634d65de7cd8fb84d863994350c20e
BLAKE2b-256 358f667028f9cdaf0d28e438855cd64e20036cea751e50516fa570bf3ae59de0

See more details on using hashes here.

File details

Details for the file gluoncv-0.7.0b20200327-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.7.0b20200327-py2.py3-none-any.whl
  • Upload date:
  • Size: 737.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.7.0b20200327-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 54d8745ff215788d7bfee8107d8da7b3ac51ab8afa76df9ae932feb140b8c7a9
MD5 809c4e6d7573610109a158ffd5c6bc19
BLAKE2b-256 e33da6273edac1b1eac1d34c7b9163a239f49d5aae9f519af0ccfdecc3df7c4f

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