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-0.10.0b20210303.tar.gz (846.7 kB view details)

Uploaded Source

Built Distribution

gluoncv-0.10.0b20210303-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file gluoncv-0.10.0b20210303.tar.gz.

File metadata

  • Download URL: gluoncv-0.10.0b20210303.tar.gz
  • Upload date:
  • Size: 846.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.0.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210303.tar.gz
Algorithm Hash digest
SHA256 c96944336a9d86a074432040c122c46c492f6c112d2acb66184a716e7ef4a1ff
MD5 abe0f66b8b9addd56a8e567b4c693d4c
BLAKE2b-256 4ca2c4097f01e6041f737dfe22aec20b322950f946a60eb0c1cc378a4570ad57

See more details on using hashes here.

File details

Details for the file gluoncv-0.10.0b20210303-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.10.0b20210303-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/1.7.0 requests/2.25.1 setuptools/54.0.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.10.0b20210303-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7d47b1945a0f49c1c5490dee6267968b78f50405c4507de28b3cc3a9d9a15f7a
MD5 637e6bbbb7b680e69014f6424fcdd18f
BLAKE2b-256 ae4525cfccee07ffdee54cc5f31e6dc1d8f82257c094b1f8ed1f88a01be91362

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