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>=1.2.0

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-cu90>=1.2.0

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-0.2.0b20180526.tar.gz (74.5 kB view details)

Uploaded Source

Built Distribution

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

gluoncv-0.2.0b20180526-py2.py3-none-any.whl (106.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file gluoncv-0.2.0b20180526.tar.gz.

File metadata

File hashes

Hashes for gluoncv-0.2.0b20180526.tar.gz
Algorithm Hash digest
SHA256 cf079ca510f4aed3014a83c2c4a1482bd047dbfce9ae0ab12a6e9f132c25290a
MD5 03c550cdb294c1615682ff013ff842fb
BLAKE2b-256 37bf4a8bfc3655ed1e3428721b2c108f2f691abe9fe3f8cd3d6a9a2f0be75e00

See more details on using hashes here.

File details

Details for the file gluoncv-0.2.0b20180526-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gluoncv-0.2.0b20180526-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 aa6cedd691ead3a49dd6c50ba9df09a34b0ddc9fa5e59f450bf16ee5faf94411
MD5 664b358a01b32b3c6759224cd239f4a7
BLAKE2b-256 8cb2d61e2103fe449eaa41efcfceef6655bfc5ad6340ebd6eac9c6a485ff5944

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