Image classification models for Gluon
Project description
Large-scale image classification networks
Several large-scale image classification models on MXNet/Gluon, trained on the ImageNet-1k dataset.
Installation
To install, use:
pip install gluoncv2 mxnet>=1.2.1
To enable different hardware supports such as GPUs, check out mxnet variants. For example, you can install with cuda-9.2 supported mxnet:
pip install gluoncv2 mxnet-cu92>=1.2.1
Usage
Example of using the pretrained ResNet-18 model:
from gluoncv2.model_provider import get_model as glcv2_get_model
net = glcv2_get_model("resnet18", pretrained=True)
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
gluoncv2-0.0.14.tar.gz
(49.9 kB
view hashes)
Built Distribution
Close
Hashes for gluoncv2-0.0.14-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c54038b90446d4869d962d51ae3de2c7eeea1ae64e6537baf2e4a2c22d08440a |
|
MD5 | c8990a91ff52bb408ffc9648ab8b88c4 |
|
BLAKE2b-256 | a03c2d5cdb7d19211a55cbb2278943ad308c0063f2a7d24baeb62fc035a4c2c7 |