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-0.11.0b20210427.tar.gz (852.2 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.11.0b20210427-py2.py3-none-any.whl (1.1 MB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.11.0b20210427.tar.gz.

File metadata

  • Download URL: gluoncv-0.11.0b20210427.tar.gz
  • Upload date:
  • Size: 852.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210427.tar.gz
Algorithm Hash digest
SHA256 90fcf9f1ef6ee90151d684335379e60ebfec679923eb9566cd2b52c6da380321
MD5 fe48b148d1c154b2cee95aa6c58365b5
BLAKE2b-256 4ec91be18ee31d875297505818f5e1aac7fc8d36b54737f6451058c9d78d2737

See more details on using hashes here.

File details

Details for the file gluoncv-0.11.0b20210427-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.11.0b20210427-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for gluoncv-0.11.0b20210427-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 32b4c900ecef96daff2132341eb376aad752ec946424b0db87d0ad29d8cf8c2b
MD5 87534b6c3bd446372f5b3a704a540932
BLAKE2b-256 79cfd54c7af74ee96b98a3b3ca84ce0a7689e58277b201db0f1cb1c180d67743

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