MATLAB批量对一个文件夹里的图片进行人脸检测并将检测到的人脸分割出来尺寸改为[48,48]存放在原文件夹的代码
时间: 2024-05-09 13:17:17 浏览: 42
:首先,你需要安装Matlab的Computer Vision System Toolbox,这个工具箱包含了人脸检测的函数。
下面是一个基本的代码框架:
```
% set the directory of the images to be detected
ImageFolder = "Your_Folder_Path";
ImageType = "*.jpg"; % set the image type
ImageNames = dir(fullfile(ImageFolder,ImageType));
% load the face detector
FaceDetector = vision.CascadeObjectDetector();
% loop through all images in the folder
for i=1:length(ImageNames)
% read the image
Image = imread(fullfile(ImageFolder,ImageNames(i).name));
% detect faces in the image
BBox = step(FaceDetector,Image);
% loop through all detected faces
for j=1:size(BBox,1)
% crop the face and resize it
I = imcrop(Image,BBox(j,:));
I = imresize(I,[48 48]);
% define the name and path of the output image
[FilePath,FileName,FileExt] = fileparts(fullfile(ImageFolder,ImageNames(i).name));
OutputName = [FileName '_' num2str(j) FileExt];
OutputPath = fullfile(FilePath,OutputName);
% write the output image
imwrite(I,OutputPath);
end
end
```
在这个代码中,我们遍历了文件夹中的所有图像,对每个图像进行了人脸检测,然后对每个检测到的人脸进行了裁剪和尺寸调整操作,并将结果存储为新图像。
你可以将这段代码保存为一个脚本文件,然后在Matlab命令窗口中运行。
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