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-0.9.0b20201018.tar.gz (659.9 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.9.0b20201018-py2.py3-none-any.whl (814.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201018.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201018.tar.gz
  • Upload date:
  • Size: 659.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201018.tar.gz
Algorithm Hash digest
SHA256 19018c7bab0cef6a1fa078e7c93d2ddae5950e62d676a78312739cc762ce1a03
MD5 06a01a2a769199bcb25f3e6461b6b9e9
BLAKE2b-256 902fe0492fa247eca5a053b00cd7b1114d2c116adddf9f97f07943f092e57db1

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201018-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201018-py2.py3-none-any.whl
  • Upload date:
  • Size: 814.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201018-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a109197ef27e0e0b316c0204e3859086f955d462b5cafa822a5ba7b22b4b7e78
MD5 7134065e60388fd5503cc309eaa7c196
BLAKE2b-256 6b1decb67862c7696e3e4dd9d92a633aab92a9d67442099a1318dbf6e9b5c9e9

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