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-0.6.0b20200109.tar.gz (575.5 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.6.0b20200109-py2.py3-none-any.whl (693.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.6.0b20200109.tar.gz.

File metadata

  • Download URL: gluoncv-0.6.0b20200109.tar.gz
  • Upload date:
  • Size: 575.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20200109.tar.gz
Algorithm Hash digest
SHA256 791a8bdfa98e3a834ab96f583cf2259f955d6129a66d67dc53e17a9cd6102c95
MD5 3a8f6bb858d12db84845c85c2271e23e
BLAKE2b-256 d593c9fbcdd0b3555e4808940c631da78f16f687801909e78d63cf0a64fb493c

See more details on using hashes here.

File details

Details for the file gluoncv-0.6.0b20200109-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.6.0b20200109-py2.py3-none-any.whl
  • Upload date:
  • Size: 693.3 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/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.5.4

File hashes

Hashes for gluoncv-0.6.0b20200109-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f005c73f9190baf8ab4a2474f3ce4a0ca9b3f41bec67f98e3b8cf592e6367855
MD5 4aa41940002b9b7fa6c763623552b288
BLAKE2b-256 64e373606ee6dcd0ceb829d242e8ea67eb66967e0dc49e7167728669c70450f1

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