UNET MATLAB 代码

以下是UNET的MATLAB代码示例：

训练：

% 加载训练数据
trainData = imageDatastore('train','IncludeSubfolders',true,'LabelSource','foldernames');

% 设置UNET网络结构参数
numClasses = numel(categories(trainData.Labels));
imageSize = [256 256 3];
lgraph = unetLayers(imageSize,numClasses,'EncoderDepth',4,'DecoderDepth',4,'NumConvolutionLayers',2);

% 设置训练参数
options = trainingOptions('adam','InitialLearnRate',1e-3,'MaxEpochs',50,'MiniBatchSize',16,'Shuffle','every-epoch','VerboseFrequency',100,'ValidationData',valData,'Plots','training-progress');

% 训练UNET网络
net = trainNetwork(trainData,lgraph,options);

预测：

% 加载需要预测的图像
img = imread('test.jpg');

% 对图像进行预处理
img = imresize(img,[256 256]);
img = double(img)/255;

% 对图像进行预测
predictedMask = predict(net,img);

% 显示预测结果
imshow(predictedMask);