How to calculate total time required for (including preprocessing, conversion and prediction)per frame. Also how to convert all the images to greyscale for training and analysing .Then make the output to rgb image showing the correct prediction?

How to calculate total time required for (including preprocessing, conversion and prediction)per frame. Also how to convert all the images to greyscale for training and analysing and make the output to rgb image showing the correct prediction? I have uploaded the code for the same . Please help me as I have just started using matlab.

Answer 1

[Utkarsh Belwal]

You can use tic toc commands in MATLAB as follows,

tic
% Enter the code here for which time has to be measured
toc

Elapsed time will be shown in MATLAB terminal. See documentation for further information : Tic Toc

For rgb to grayscale conversion you can use rgb2gray

And for your last query, I don't think you can get RGB image from the grayscale as for the predicted image you do not have any information of colormap but as a workaround you can try the colormap of the original images and see the results. Look into the below MATLAB Answers for further understanding

Answer 1

Answer 2

DISCLAIMER: These are my own views and in no way depict those of MathWorks.

[renit anthony]

Thanks for the answer. But I need to preprocess my training and test data into grayscale images for predicting the road sign. Like when the output comes it should show that the detected image(rgb image) is the correct output.

[Utkarsh Belwal]

For that you can store the colormap of each image before converting them to grayscale,

[I,colormap] = imread(___);

After you have got your results, using the stored color maps convert them back to rgb,

rgbImage = ind2rgb(grayImage, colormap);

[renit anthony]

Thank you :)