基于CNN的matlab人脸识别代码

以下是基于CNN的Matlab人脸识别代码示例：

% 读取图像数据和标签
allImages = imageDatastore('路径', 'IncludeSubfolders', true, 'LabelSource', 'foldernames');

% 划分训练集和测试集
[trainImages, testImages] = splitEachLabel(allImages, 0.8, 'randomize');

% 创建网络
layers = [
    imageInputLayer([32 32 1])
    convolution2dLayer(3, 32, 'Padding', 'same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2, 'Stride', 2)
    convolution2dLayer(3, 64, 'Padding', 'same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2, 'Stride', 2)
    convolution2dLayer(3, 128, 'Padding', 'same')
    batchNormalizationLayer
    reluLayer
    fullyConnectedLayer(10)
    softmaxLayer
    classificationLayer];

% 设置训练选项
options = trainingOptions('sgdm', ...
    'MaxEpochs', 20, ...
    'MiniBatchSize', 64, ...
    'InitialLearnRate', 0.001, ...
    'Verbose', false, ...
    'Plots', 'training-progress');

% 训练网络
net = trainNetwork(trainImages, layers, options);

% 测试网络
predictedLabels = classify(net, testImages);
accuracy = mean(predictedLabels == testImages.Labels);

% 显示准确率
disp(['准确率：', num2str(accuracy)]);

请注意，此示例代码是基于一个简单的CNN模型，您可能需要根据您的数据集和需求进行修改。