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
gluoncv2-0.0.15.tar.gz
(50.9 kB
view hashes)
Built Distribution
Close
Hashes for gluoncv2-0.0.15-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1392290405957d92088e62a5f5934296d3afa197394f9e74f16d575f73a13ff2 |
|
MD5 | 1817c8204250f83b49f8bd179b3c2351 |
|
BLAKE2b-256 | dc8a66553170fd5d71dd2836f467380901d4da70504f5f1d7e151e6c62bd83f8 |