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
gluoncv2-0.0.2.tar.gz
(36.0 kB
view hashes)
Built Distribution
Close
Hashes for gluoncv2-0.0.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | adc18aa817dfbd1a57a1f804b6b0abd349b8182b29546253486adc4d75856ad2 |
|
MD5 | 223a3135d03ed7fc58d9a74d03ac05cd |
|
BLAKE2b-256 | fc014b464e6825eb33d1d50c36daa579d293a02ce43de94eec0b54b65ef4d59e |