Prepare svm datasets for multi svm
please note that this function will give test set and training set images separately as a output and will convert images to grayscale.
This function will take four input variables and will give three output variables, which are as follows:
Input : TrainingSet_location, No_Testset,width, height
Output : Train_Set,Test_Set,train_label
Input:
TrainingSet_location : Only o/p of function DirRead is accepted or an array of locations
No_Testset : No of testset images per class.
width, height are resize parameters of images.
Cite As
om choudhary (2024). Prepare svm datasets for multi svm (https://www.mathworks.com/matlabcentral/fileexchange/40021-prepare-svm-datasets-for-multi-svm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.