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-0.10.0b20210116.tar.gz (842.2 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20210116-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20210116.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20210116.tar.gz
  • Upload date:
  • Size: 842.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210116.tar.gz
Algorithm Hash digest
SHA256 9065708fa4da1259fb326be687b9c33d5a0243b57f5349d36bb52fbc71e5e42f
MD5 137e4e5947c06c9215b571eaf2b4074f
BLAKE2b-256 cbc8741cbbd09e12073c94ab18d5704e6f8aa44d5df7640292ed3513e391548d

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20210116-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20210116-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/51.1.2 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210116-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7387927a24b5b1f5a84315b77611a33972d7d72d795ecacfd5f3378dd99ca966
MD5 14bf73b5132e9c3a1b16c6ef072c3b12
BLAKE2b-256 5ad8c9c76f274857eb371fdec46b07e7bbaca0c27c3d9517b4d9da36fe7aa330

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