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-0.10.0b20201208.tar.gz (794.5 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.10.0b20201208-py2.py3-none-any.whl (997.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.10.0b20201208.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20201208.tar.gz
  • Upload date:
  • Size: 794.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20201208.tar.gz
Algorithm Hash digest
SHA256 07e26e3fe41a16fd40e859126170118a4d350dd2eb9b6dec27e19670a90d148a
MD5 24f24cea6af520294ced4b2fed9af6c1
BLAKE2b-256 64fb5e00344f6efda6a9dd7381b8dcff2bab67be630fc3835b1b4e5a59cf7505

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20201208-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20201208-py2.py3-none-any.whl
  • Upload date:
  • Size: 997.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20201208-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 866293a8aacd142c59d833e9c35a320bfb4bc36bddcb7de8f5b4f754a8f7280d
MD5 ee5f355c987e4f486180a7ac25cfe23b
BLAKE2b-256 13a0c7715783e2fe97b65027a62bd16347c87e5cfb84a8936aa635c4031ad3b1

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