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-0.9.0b20201115.tar.gz (790.8 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.9.0b20201115-py2.py3-none-any.whl (993.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.9.0b20201115.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201115.tar.gz
  • Upload date:
  • Size: 790.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.9.0b20201115.tar.gz
Algorithm Hash digest
SHA256 0cb25c141d684f0984c75edf753ff89917d9c8770f6f50383cb8418673c94b52
MD5 c2cfec538032e54c0e0b2e7f0b89a0d1
BLAKE2b-256 b7c4559149f63bc09ab2f41d10213f39f3bef604a302c8c84f68f1e7bd4d7df0

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201115-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201115-py2.py3-none-any.whl
  • Upload date:
  • Size: 993.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.9.0b20201115-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 43f8331dcd46ece6a59885ce7c76d2daa85ec37181c8986ae72124d7c2fe1bfe
MD5 26825b6736177f5be6eb98a0f297e1af
BLAKE2b-256 50103d23a63b104024e74078dc3048cb237d4e4728e156adf529cd8f024516bd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page