I'm classification on two images and I want to store the returned string values in an array. function returns a string to be displayed on the screen as the return value and this array is a 1x1 cell matrix. how do I hold all return values in a single array and print them on the scr...
c = a * b;%gpuA = gpuArray(a);%gpuB = gpuArray(b);%c = gpuA * gpuB;s = svd(c);end%% generate standalone exe by using GPU Coder (gpuCodeGenTest.m)cfg = coder.gpuConfig('exe'); cfg.GenerateExampleMain ='GenerateCodeAndCompile'; codegenlargeMatri...
constr = true; end % Process objective function if ~isempty(FUN) % will detect empty string, empty matrix, empty cell array % constrflag in optimfcnchk set to false because we're checking the objective, not constraint funfcn = optimfcnchk(FUN,'fmincon',length(varargin),funValCheck,flags....
template = gpuArray(template); offsetTemplate = gpuArray(offsetTemplate); Compute the cross-correlation on the GPU. cc = xcorr2(offsetTemplate,template); Return the result to the MATLAB® workspace usinggather. Use the maximum absolute value of the cross-correlation to determine the shift, and...
I already tried the matlab function arratotable. The error that I have is that the array is not of the same dimension of the table. How can I fix this problem ? 댓글 수: 0 댓글을 달려면 로그인하십시오. ...
error('The action to perform must be''add'',''delete''or''deleteadd''!') endif(~isempty(userExtList) && ~min(cellfun(@ischar, userExtList))) error('The file extension list must be a string or a cell array of strings!')
For example, you can add a title to a HeatmapChart object. An array of graphics objects from the preceding list. The objects must belong to the same class. To determine the class, use the class function. If you do not specify the target for the title, then the title function adds ...
单值传递:在py.myfun.add(1, 2)中,1和2在Matlab中默认是double型,传入Python后,Python默认将其转为Python的float型。类型转换如下表数组传递:如果传入Matlab数组,Python默认接收为array.array类型。如Matlab传入数组[1, 2],Python接收为array.array('d', [1.0, 2.0])。更多数组转换如下表如果...
anno=np.array(anno)[index] #创建dataset dataset=tf.data.Dataset.from_tensor_slices((images,anno)) test_count=int(len(images)*0.2) train_count=len(images)-test_count data_train=dataset.skip(test_count) data_test=dataset.take(test_count) ...
7.A(end,1:2:end) 创建子矩阵,由A的end行,奇数元素组成 8.disp('put evens into odd values in a new array') 显示一句话 9.B(:,odds) = A(:,2:2:end) 把A的偶数列放在新矩阵B的奇数列上,没有赋值的列都置0 10.disp('set the even values in B to 99') 显示一句话 ...