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-0.9.0b20201028.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-0.9.0b20201028-py2.py3-none-any.whl (814.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.9.0b20201028.tar.gz.

File metadata

  • Download URL: gluoncv-0.9.0b20201028.tar.gz
  • Upload date:
  • Size: 659.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201028.tar.gz
Algorithm Hash digest
SHA256 4e5c96f5260f5036f72f28cce82f94ea73e1f2b91d09a427b00431c900d33ac4
MD5 85885c320ad46062fcb6bcf71d5a6095
BLAKE2b-256 896af0dde3f40bcfba4b09a640e535fd065002a3f3533eef5a5c827c43f5a268

See more details on using hashes here.

File details

Details for the file gluoncv-0.9.0b20201028-py2.py3-none-any.whl.

File metadata

  • Download URL: gluoncv-0.9.0b20201028-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/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.5.4

File hashes

Hashes for gluoncv-0.9.0b20201028-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 37cc5f2729d5e65f10a5e8d3b6270f9afc754c35eabe3cb58114f2ef4ab445f7
MD5 d374b8cea1cf810a77f4741c4417dfec
BLAKE2b-256 5ea1a6419e67cde70df42494336ef9d16597a219507413292c5c7bd194742c10

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