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-0.5.0b20190806.tar.gz (327.3 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.5.0b20190806-py2.py3-none-any.whl (418.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.5.0b20190806.tar.gz.

File metadata

  • Download URL: gluoncv-0.5.0b20190806.tar.gz
  • Upload date:
  • Size: 327.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190806.tar.gz
Algorithm Hash digest
SHA256 e32bb760aff5c8bf72750c95a331276106713df000430b85f21739a7f764f999
MD5 16c3ce790fc6eda1d27237d53b685128
BLAKE2b-256 b142fc1771706c4ef52cc2c69bacf3a34abd8c65fbbc70c005677666e88fe9ee

See more details on using hashes here.

File details

Details for the file gluoncv-0.5.0b20190806-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.5.0b20190806-py2.py3-none-any.whl
  • Upload date:
  • Size: 418.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.5.0b20190806-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ba0ff2332f3abab38b01c39f712ec5e05ba5e7bf7f681f9e5276d798a9f566b8
MD5 597982e17860d92bdb34100f8c6a0089
BLAKE2b-256 5cae6abe52a9d64c8b83f8a042bf8fbf80c98ac94c41560205124add130d5707

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