Image classification models for Keras
Project description
Large-scale image classification networks
Collection of large-scale image classification models on Keras (with MXNet backend), pretrained on the ImageNet-1k dataset.
Installation
To install, use:
pip install kerascv 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 kerascv mxnet-cu92>=1.2.1
After installation change the value of the field image_data_format
to channels_first
in the file ~/.keras/keras.json
.
Usage
Example of using the pretrained ResNet-18 model:
from kerascv.model_provider import get_model as kecv_get_model
net = kecv_get_model("resnet18", pretrained=True)
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