Conversion of trained Neural Network into C++ data/code using MATLAB Coder.

18 views (last 30 days)
I have trained a neural network for my specific purpose to detect different types of arrow using a Webcam using Transfer Learning Method. I have used AlexNet for transfer Learning. The trained network is stored as an array of Convolutinal Neural Network [25*1]. The trained network is saved as a variable in MATLAB workspace and loaded in the corresponding MATLAB code for classification of arrows.
Now, i am trying to integerate this feature with a Robotino mobile Roboter and to do that i have to create a new function block in Robotinoview 2 software.
The new function block in RobotinoView 2 can only be created or defined using C++ program. So I want to convert the MATLAB Code into C++ code. I understood how to convert a MATLAB function into a C++ code.
In order to classify the types of arrows, the code has to be loaded with the trained Network array. But I dont understand how can i convert the trained convolutional neural network int to a C++ code or to a C++object/class.

Accepted Answer

Mukund Sankaran
Mukund Sankaran on 12 Aug 2019
You may find these resources helpful:
https://www.mathworks.com/help/deeplearning/examples/code-generation-for-deep-learning-networks.html (contains an example for generating C++ code for image classification using Alexnet)

More Answers (0)

Categories

Find more on Image Data Workflows in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!