Deep Learning Toolbox Importer for Caffe Models

Software support package for importing pretrained Caffe Models

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Actualizado 14 Sep 2022

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

Compatibilidad con la versión de MATLAB
Se creó con R2017a
Compatible con cualquier versión desde R2017a hasta R2022b
Compatibilidad con las plataformas
Windows macOS Linux

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