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-0.9.4.post1.tar.gz (850.4 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.4.post1-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file gluoncv-0.9.4.post1.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.4.post1.tar.gz
  • Upload date:
  • Size: 850.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for gluoncv-0.9.4.post1.tar.gz
Algorithm Hash digest
SHA256 e3592a3e7728c6d83eddc9adf711da8c6b8b1560ab7743bfb5cdbada694be30b
MD5 d81622d2a6b877c1d863917a3e4dec5c
BLAKE2b-256 0331f27eaf5875500253d4f076ef4a48611e7ace013074301fc84ba1b0d461a7

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.4.post1-py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.4.post1-py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for gluoncv-0.9.4.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 bee0df1e5cc9a3de99484219dbebdb0ba29efc7a96b0e269021d7886c035f65c
MD5 0417491e1fb38e4d829b8fd445fc663d
BLAKE2b-256 7f5e98807b36462ad88bf39ed83e392ad2dcc6c81f30e22e5aea1168f65185cb

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