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-0.10.0b20210107.tar.gz (841.9 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20210107-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20210107.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20210107.tar.gz
  • Upload date:
  • Size: 841.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210107.tar.gz
Algorithm Hash digest
SHA256 260564bf9da5f4605f3bcf98816f884b4e5c375e4e905aa94e0448c8a911f065
MD5 9d7b57dc1589595683b999bad22b1832
BLAKE2b-256 19d2e1b0dd1cdb7142d519c3e15aa0785a4ca4ba774010518736a55c64ec2b01

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20210107-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20210107-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210107-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f2c984f619cc9933507faff49efe43f5dbe85930dd32aa529cb7cedbabbcfa97
MD5 7947cf047d4648e60cfd27d19d2c703c
BLAKE2b-256 5ad2988fb1aeb02951ab30bf35cc3d4544f3f9b8018de08b8e2af1e425e32ed9

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