2017年11月的京东金融大数据竞赛参与人数最多的是猪脸识别的算法比赛，参加整个大数据比赛的有四千多人，而猪脸识别算法组就有一千多人。可见，搞图像识别的的人很多啊。想要提升自己价值的小伙伴们，向语音、文本、机器人等领域进发吧，有了机器学习的基础，入门这些领域应该都不是太难。

%exam1.m extract frame from videoclc;   close all;   imtool close all;  clear; %30段视频在本代码同级目录video文件夹下，格式为mp4fpath = [pwd,'\video\*.mp4'];fname = dir(fpath);fnum = numel(fname);vidpath = [pwd,'\video'];try      for i=1:fnum        videoname = fullfile(vidpath,fname(i).name);                %读取视频数据        videoObject = VideoReader(videoname);        % 获取视频中帧数.        numberOfFrames = videoObject.NumberOfFrames;         vidHeight = videoObject.Height;        vidWidth = videoObject.Width;        numberOfFramesWritten = 0;        figure;                writeToDisk = true;           %对视频文件全路径进行分离.        [folder, baseFileName, extentions] = fileparts(videoname);          %获取当前路径               folder = pwd;        %在当前路径下建立子文件夹image，并在image下为各视频建立以文件名命名的子文件夹，用以存放该视频提取的帧        outputFolder = sprintf('%s/image/%s', folder, baseFileName);                if ~exist(outputFolder, 'dir')            mkdir(outputFolder);         end          %每分钟约为30帧图像，每隔15帧取一帧                       for frame = 1 :15: numberOfFrames              %读取帧数据            thisFrame = read(videoObject, frame);            image(thisFrame);              caption = sprintf('Frame %4d of %d.', frame, numberOfFrames);              title(caption, 'FontSize', fontSize);              drawnow; % Force it to refresh the window.              %将图像帧数据写入文件              if writeToDisk                  % 创建图像名，格式为“视频名-帧序号”                imgName = sprintf('%s-%04d.jpg',baseFileName, frame);                  outputFullFileName = fullfile(outputFolder, imgName);                      text(5, 15, imgName, 'FontSize', 20);                  % Extract the image with the text "burned into" it.                  frameWithText = getframe(gca);  .                  imwrite(frameWithText.cdata, outputFullFileName, 'jpg');              end              % 输出提取信息.              if writeToDisk                  progressIndication = sprintf('Wrote frame %4d of %d.', frame, numberOfFrames);              else                  progressIndication = sprintf('Processed frame %4d of %d.', frame, numberOfFrames);              end              disp(progressIndication);                  numberOfFramesWritten = numberOfFramesWritten + 1;         end      endcatch        warning('Problem using function.  Assigning a value of 0.');        a = 0;end

该程序运行完后，就得到了30头猪的图像信息。若需增加数据量，可将提取帧的间隔减小。