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-0.6.0b20191115.tar.gz (445.2 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.6.0b20191115-py2.py3-none-any.whl (553.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.6.0b20191115.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20191115.tar.gz
  • Upload date:
  • Size: 445.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191115.tar.gz
Algorithm Hash digest
SHA256 d2776910272b16aae79bebe7f21c5871adeb753313fb83de5f8b0b593c8301a1
MD5 9f408cf10f7bd567500d29974fec5c3d
BLAKE2b-256 4e8c1b264494467d6458d7ea203dc542a7c1e2f2d7c0faf1b7a3e692984a4f29

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20191115-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20191115-py2.py3-none-any.whl
  • Upload date:
  • Size: 553.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20191115-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7677e8b361c3496ddc14c27355311f213750557a28b4c53fb99143dc708bdba3
MD5 db61d81d190d9a47474a6a8a538bb2ee
BLAKE2b-256 3224e8f98bb8dd26741e98204ee5cab2760d8a0205912c236549045b495d48e5

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