How can i calculate precision and recall in a Siamese network

Question

Nagwa megahed 2022-3-23

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1678984-how-can-i-calculate-precision-and-recall-in-a-siamese-network

回答： yanqi liu 2022-3-24

i need help,

my reseach is about building a siamese network like this example Train a Siamese Network to Compare Images

in the attached example the accurcy of the model is calculated by this code, i ask how i can calculate the precision and recall of that model

accuracy = zeros(1,5);
accuracyBatchSize = 150;
for i = 1:5
    % Extract mini-batch of image pairs and pair labels
    [X1,X2,pairLabelsAcc] = getSiameseBatch(imdsTest,accuracyBatchSize);
    % Convert mini-batch of data to dlarray. Specify the dimension labels
    % "SSCB" (spatial, spatial, channel, batch) for image data.
    X1 = dlarray(X1,"SSCB");
    X2 = dlarray(X2,"SSCB");
    % If using a GPU, then convert data to gpuArray.
    if (executionEnvironment == "auto" && canUseGPU) || executionEnvironment == "gpu"
        X1 = gpuArray(X1);
        X2 = gpuArray(X2);
    end
    % Evaluate predictions using trained network
    Y = predictSiamese(net,fcParams,X1,X2);
    % Convert predictions to binary 0 or 1
    Y = gather(extractdata(Y));
    Y = round(Y);
    % Compute average accuracy for the minibatch
    accuracy(i) = sum(Y == pairLabelsAcc)/accuracyBatchSize;
end