Unable to perform assignment because brace indexing is not supported for variables of this type.

4 Ansichten (letzte 30 Tage)
I am doing this code each frame of videos.
Plese let me know how to fix this error.
clear all
close all
%// read the video:
list = dir('*.avi')
% loop through the filenames in the list
for k = 1:length(list)
reader = VideoReader(list(k).name);
vid = {};
while hasFrame(reader)
vid{end+1} = readFrame(reader);
end
for i=1:25
fIdx(i) = i; %// do it for frame 1 ~ 25
frameGray{i} = rgb2gray(vid{fIdx(i)});
data{i} = frameGray{i}';
data{i} = double(data{i});
opt.init_num_secants = 180;
idx1{i} = random('unid',size(data{i}, 2), opt.init_num_secants, 1);
idx2{i} = random('unid',size(data{i}, 2), opt.init_num_secants, 1);
secants{i} = data{i}(:, idx1{i})-data{i}(:, idx2{i});
D1{i} = abs(secants{i});
numSecants = size(data{i},1);
options.landmarks = 1:180;
[geo{i}] = IsomapII(D1{i}, 'k', 3, options);
secants{i} = geo{i}/norm(geo{i},2);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%Parameter setting
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
opt.outer_iterations = 1000;
switch 'l-bfgs'
case 'grad'
opt.linear_solver = 'grad';
opt.tau = 1e-1; % gradient step size
opt.inner_iterations = 10;
opt.beta1 = 1e-1; opt.beta2 = 1e-1; %penalty parameters
opt.eta1 = 1; opt.eta2 = 1; %lagrangian update
case 'cgs'
opt.linear_solver = 'cgs';
opt.linear_iterations = 10;
opt.inner_iterations = 1;
opt.beta1 = 1; opt.beta2 = 1; %penalty parameters
opt.eta1 = 1.618; opt.eta2 = 1.618; %lagrangian update
case 'l-bfgs'
opt.linear_solver = 'l-bfgs';
opt.linear_iterations = 3;
opt.lbfgs_rank = 5;
opt.inner_iterations = 1;
opt.beta1 = 1; opt.beta2 = 1; %penalty parameters
opt.eta1 = 1.618; opt.eta2 = 1.618; %lagrangian update
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%End parameters
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
delta = 0.3; %max-margin parameter
funA = @(z) funA_secants_WY(z, secants{i});
funAT = @(z) funAT_secants_WY(z, secants{i});
b = ones(numSecants, 1);
ticID = tic;
[P{i}, L{i}, q{i}, Lambda{i}, w{i}] = NuMax(funA, funAT, b, delta, opt);
toc(ticID);
[U{i}, S{i}, V{i}] = svd(P{i});
r{i} = rank(P{i});
U1{i} = U{i}(:, 1:r{i});
U1{i} = (U1{i} - min(U1{i}(:)))/(max(U1{i}(:))-min(U1{i}(:)));
Phi_NuMax = (U{i}(:, 1:r{i})*(S{i}(1:r{i}, 1:r{i}).^(1/2)))';
data = data{i};
Y = Phi_NuMax * data;
end
end
X = cell2mat(Y');

Akzeptierte Antwort

Walter Roberson
Walter Roberson am 28 Mär. 2020
At the bottom of your loop you have
data = data{i};
That replaces the cell array data that contains the cell with framegray{1}', with the contents of that entry, so instead of data being a cell array with framegray{1}' inside it, data would become the contents directly, framegray{1}' not inside a cell array. Then in the second iteration of the loop when you go to assign to data{2} then data is not a cell array and you are not permitted to do that.
You should be asking yourself why you are doing the
data = data{i};
  5 Kommentare
Kong
Kong am 29 Mär. 2020
I have same problem another example.
There are lots of videos in folder.
Could you check this error too?
clear all
close all
%// read the video:
list = dir('*.avi')
% loop through the filenames in the list
for k = 1:length(list)
reader = VideoReader(list(k).name);
vid = {};
while hasFrame(reader)
vid{end+1} = readFrame(reader);
end
for i=1:25
fIdx(i) = i; %// do it for frame 1 ~ 60
frameGray{i} = rgb2gray(vid{fIdx(i)});
data{i} = frameGray{i};
data{i} = double(data{i});
n = size(frameGray{i}, 1);
opt.init_num_secants = n;
idx1{i} = random('unid',size(data{i}, 2), opt.init_num_secants, 1);
idx2{i} = random('unid',size(data{i}, 2), opt.init_num_secants, 1);
secants{i} = data{i}(:, idx1{i})-data{i}(:, idx2{i});
D1{i} = abs(secants{i});
numSecants = size(data{i},1);
options.landmarks = 1:n;
[geo{i}] = IsomapII(D1{i}, 'k', 3, options);
secants{i} = geo{i}/norm(geo{i},2);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%Parameter setting
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
opt.outer_iterations = 1000;
switch 'l-bfgs'
case 'grad'
opt.linear_solver = 'grad';
opt.tau = 1e-1; % gradient step size
opt.inner_iterations = 10;
opt.beta1 = 1e-1; opt.beta2 = 1e-1; %penalty parameters
opt.eta1 = 1; opt.eta2 = 1; %lagrangian update
case 'cgs'
opt.linear_solver = 'cgs';
opt.linear_iterations = 10;
opt.inner_iterations = 1;
opt.beta1 = 1; opt.beta2 = 1; %penalty parameters
opt.eta1 = 1.618; opt.eta2 = 1.618; %lagrangian update
case 'l-bfgs'
opt.linear_solver = 'l-bfgs';
opt.linear_iterations = 3;
opt.lbfgs_rank = 5;
opt.inner_iterations = 1;
opt.beta1 = 1; opt.beta2 = 1; %penalty parameters
opt.eta1 = 1.618; opt.eta2 = 1.618; %lagrangian update
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%End parameters
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
delta = 0.3; %max-margin parameter
funA = @(z) funA_secants_WY(z, secants{i});
funAT = @(z) funAT_secants_WY(z, secants{i});
b = ones(numSecants, 1);
ticID = tic;
[P{i}, L{i}, q{i}, Lambda{i}, w{i}] = NuMax(funA, funAT, b, delta, opt);
toc(ticID);
[U{i}, S{i}, V{i}] = svd(P{i});
r{i} = rank(P{i});
U1{i} = U{i}(:, 1:r{i});
U1{i} = (U1{i} - min(U1{i}(:)))/(max(U1{i}(:))-min(U1{i}(:)));
Phi_NuMax{i} = (U{i}(:, 1:r{i})*(S{i}(1:r{i}, 1:r{i}).^(1/2)))';
Y{i} = Phi_NuMax{i} * data{i};
Y{i} = reshape(Y{i},[],1);
end
Y = cell2mat(Y);
% make csv file whose name matches the avi file
[~,name] = fileparts(list(k).name); % get the file name without the extension
outfile = strcat(name,'.csv')
csvwrite(outfile,Y); % assumes you have already assigned the array X earlier
end
Walter Roberson
Walter Roberson am 29 Mär. 2020
Y = cell2mat(Y);
is within your for k loop. You build up cell Y the first time, doing all for i iterations, and then you replace Y with a matrix instead of a cell, and then you go for the second iteration of k, but Y is still the matrix, not a cell array.

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Kategorien

Mehr zu Data Types finden Sie in Help Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by