how to get the accuracy for each type of distortion and accuracy for all ?

この 質問 は William Rose さんによってフラグが設定されました
  • William Rose さんによって 2024 年 1 月 2 日 に 複製 としてフラグが設定されました。

    This and https://www.mathworks.com/matlabcentral/answers/2065281-how-to-get-the-value-of-accuracy-for-each-type-of-distortion-and-the-accuracy-value-for-all?s_tid=srchtitle which is already flagged.

what to change in this coding to get the accuracy for each type of distortion and accuracy value for all? can see the coding attach. thank you
load('dmos.mat');
FYPdatabase=cell(numel(dmos),4);
FYPdatabase(:,2)=num2cell(dmos);
feat=zeros(982,40);
for k=1:982
A=FYPdatabase{k,1};
featim=gmlog(A);
FYPdatabase{k,5}=featim;
feat(k,:)=featim
end
addpath('C:\Users\User\Desktop\LIVE database\databaserelease2\jp2k');
for i=1:227
A=imread(sprintf('img%d.bmp',i));
A1=rgb2gray(A);
A2=double(A1);
FYPdatabase{i,1}=A2;
FYPdatabase{i,3}=1;
end
addpath('C:\Users\User\Desktop\LIVE database\databaserelease2\jpeg');
for i=1:233
A=imread(sprintf('img%d.bmp',i));
A1=rgb2gray(A);
A2=double(A1);
FYPdatabase{227+i,1}=A2;
FYPdatabase{227+i,3}=2;
end
addpath('C:\Users\User\Desktop\LIVE database\databaserelease2\wn');
for i=1:174
A=imread(sprintf('img%d.bmp',i));
A1=rgb2gray(A);
A2=double(A1);
FYPdatabase{460+i,1}=A2;
FYPdatabase{460+i,3}=3;
end
addpath('C:\Users\User\Desktop\LIVE database\databaserelease2\gblur');
for i=1:174
A=imread(sprintf('img%d.bmp',i));
A1=rgb2gray(A);
A2=double(A1);
FYPdatabase{634+i,1}=A2;
FYPdatabase{634+i,3}=4;
end
addpath('C:\Users\User\Desktop\LIVE database\databaserelease2\fastfading');
for i=1:174
A=imread(sprintf('img%d.bmp',i));
A1=rgb2gray(A);
A2=double(A1);
FYPdatabase{808+i,1}=A2;
FYPdatabase{808+i,3}=5;
end
this is the coding for FYPdatabase (2).mat. i cannot attach the mat file because the size is bigger than 5MB

2 件のコメント

Walter Roberson
Walter Roberson 2023 年 12 月 30 日
It would be easier if you had supplied the .mat file as well.
RACHEL LYN JAHIRIN
RACHEL LYN JAHIRIN 2023 年 12 月 31 日
already attach the mat file.

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質問済み:

2023 年 12 月 30 日

閉鎖済み:

2024 年 1 月 4 日

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