Am I clear? I mean in function F = haar_featlist([ny] , [nx] , [rect_param]), the first parameter of the output F in ur description is iF(1,..,nF), but the result value shows it is actually the ip (index of the pattern in options.rect_param), u can check it.
And for the last parameter ir, if (ir/10+1)is given, the meaning is obvious, thanx again
Dear Mr Paris,
for the 'haar_featlist' function below, the first and the last parameter of the output are confusd, i read the description of F, the first parameter is ip, but in ur files it is if, and the last parametr is ir index of rectangle definition of the current feature in rect_param, but the value is 0,20,40,70,100, not sure about it. Wud u pls spare some time for more explanations. Thanx
problem solved~ i still donno why. i just put the fold to the root DIR, and it works ok~ And Mr Paris, if i train the face detecter using adaboost for a few weeks, and due to some reasons(like the electricity is cut off), what I can do to continue the boosting progress using ur program
Thank you for your great toolbox, but I have some problem with the 2.8 version.
I cannt find the model model_detector_haar_24x24.mat. I tried to build the model using Example 3 in train_cascade. Then using this model and run demo_detector_haar I have this error:
Error using detector_haar
sum(cascade(1 , :)) <= T
Error in demo_detector_haar (line 83)
pos = detector_haar(rgb2gray(aa) , model);
Would you please check it? Thank you so much.