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Deep Learning Toolbox Importer for Caffe Models

Software support package for importing pretrained Caffe Models

2.5K Downloads

Updated 12 May 2021

This software support package provides functions for importing pretrained models as well as layers of Convolutional Neural Networks (CNNs) from Caffe (http://caffe.berkeleyvision.org/). Pretrained models are imported as a SeriesNetwork or a Directed Acyclic Graph (DAG) network object.

Opening the caffeimporter.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.
This mlpkginstall file is functional for R2017a and beyond.

Usage Example (importCaffeNetwork):
% Specify files to import
protofile = 'digitsnet.prototxt';
datafile = 'digits_iter_10000.caffemodel';
% Import network
net = importCaffeNetwork(protofile,datafile)
Usage Example (importCaffeLayers):
% Specify file to import
protofile = 'digitsnet.prototxt';
% Import network layers
layers = importCaffeLayers('digitsnet.prototxt')

For more information on importing Caffe networks, please visit our documentation at https://www.mathworks.com/help/deeplearning/ref/importcaffenetwork.html

For more information on importing layers from Caffe, please visit our documentation at
https://www.mathworks.com/help/deeplearning/ref/importcaffelayers.html

To get a list of all the pretrained models supported by MATLAB, please visit https://www.mathworks.com/solutions/deep-learning/models.html

MATLAB Release Compatibility
Created with R2017a
Compatible with R2017a to R2021a
Platform Compatibility
Windows macOS Linux

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