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-0.11.0b20210502.tar.gz (852.2 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210502-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210502.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210502.tar.gz
  • Upload date:
  • Size: 852.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210502.tar.gz
Algorithm Hash digest
SHA256 0b39dc3465cac797bbb00730d509f6e9e55c70e2bbf2cd60b4c7a3826d259692
MD5 5a700c75794234163e8d4ac76140242a
BLAKE2b-256 16fcd5ceace3685f42b4ff8d0d42a5b0e2b0c73b4509b3f8af2b1fb9d8cff343

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210502-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210502-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210502-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 39a34f6fe4564df90d647dfaa4bfc302f80745d2bcc48bda49c3b731a00fddcd
MD5 ddff09fcc7c7e0916faf668f7149f98a
BLAKE2b-256 11afdd195cb3a832d99bd17fea6f4c8cc31b44fb822105ec52c0476766835080

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