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>=1.2.0

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>=1.2.0

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-0.3.0b20180828.tar.gz (139.9 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.3.0b20180828-py2.py3-none-any.whl (197.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.3.0b20180828.tar.gz.

File metadata

  • Download URL: gluoncv-0.3.0b20180828.tar.gz
  • Upload date:
  • Size: 139.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.3

File hashes

Hashes for gluoncv-0.3.0b20180828.tar.gz
Algorithm Hash digest
SHA256 fd1b658a4857bfcdcbe43f3d5465541a1af41380bea66368c1b911ec64b1b792
MD5 29852c1c498b4b67e83f25236f312e45
BLAKE2b-256 5a863c4aec41b539d406c39240c52c94e0f3af7bace7d898746a0c3aeac5fc3e

See more details on using hashes here.

File details

Details for the file gluoncv-0.3.0b20180828-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.3.0b20180828-py2.py3-none-any.whl
  • Upload date:
  • Size: 197.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.3

File hashes

Hashes for gluoncv-0.3.0b20180828-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 fe9a678fd09cb4f31784229d50b9e811bc44f684e037fbcfce89d9ba67c7e307
MD5 cd571f247210eaf7366658bbbd3b0329
BLAKE2b-256 8998b4a7eaf5ebf829ba933ecdb596d6ccad9ca7b31bb9fa92869db6df2a0f95

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