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-0.11.0b20210310.tar.gz (846.7 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210310-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210310.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210310.tar.gz
  • Upload date:
  • Size: 846.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210310.tar.gz
Algorithm Hash digest
SHA256 fd8af1e2fac16ebafcd0f1af700d9aefb6fa3bb701d3a0ab15f7719d3b60baae
MD5 668aed98d0e04f9c46ae4f50e78f536d
BLAKE2b-256 4cd25349b0500aa4d01a194eca52934fca8fe408b4f63f53b30c8a79d369ed41

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210310-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210310-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210310-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 dee0e1e833a0722ab217f7116cbb97052642db33979308703956d5aef444b975
MD5 c01354ce10313948880518a65a227672
BLAKE2b-256 c58316f23ca045dc8e7d2278976bca5d01a3ba1cb9b230781b2e3681e99677ef

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