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-0.8.0b20200604.tar.gz (631.1 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.8.0b20200604-py2.py3-none-any.whl (771.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.8.0b20200604.tar.gz.

File metadata

  • Download URL: gluoncv-0.8.0b20200604.tar.gz
  • Upload date:
  • Size: 631.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200604.tar.gz
Algorithm Hash digest
SHA256 6b1ef2661e883be2a26e313c619ffdb6370382a0411f6816eb91f04c22c7951e
MD5 b848e122abbeb6c6e98f1f78d46425dc
BLAKE2b-256 d2320ccf309c55e0b78fb3dd3eb2cfdf98bbe1e03bbad7d7e2c7b0b7905f1105

See more details on using hashes here.

File details

Details for the file gluoncv-0.8.0b20200604-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.8.0b20200604-py2.py3-none-any.whl
  • Upload date:
  • Size: 771.6 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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.8.0b20200604-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 283be9ab31c8386d0d890363d50e340957ccf82d5055c9bde09c11d7bd5ea2d7
MD5 93065f5c20a8a230c837645f5af0fe61
BLAKE2b-256 14ccf34865834abbb732ebe642afc46746ecfed04f2e3029d9a16ccd1686b5a1

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