• 大小: 111KB
    文件类型: .zip
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    发布日期: 2021-05-23
  • 语言: Matlab
  • 标签: crf  

资源简介

基于matlab的图像显著性检测,采用的图像分割方式是crf 推荐给大家

资源截图

代码片段和文件信息

clear all
useMex = 1; % Set this to 1 to use mex files to speed things up

%% Generate Synthetic Data

% Notes:
%   - X is categorical each element X(ij) contains the value of feature j for word i
%       a value of ‘0‘ means ignore the feature for this training example
%   - y is cateogircal each element y(i) contains the label for word i
%       a value of ‘0‘ indicates the position between sentences
[Xy] = crfChain_genSynthetic;

nWords = size(X1);
nStates = max(y);
nFeatures = max(X);

%% Initialize parameters and data structures

[wv_startv_endv] = crfChain_initWeights(nFeaturesnStates‘randn‘);
featureStart = cumsum([1 nFeatures(1:end)]); % data structure which relates high-level ‘features‘ to elements of w
sentences = crfChain_initSentences(y);
nSentences = size(sentences1);

wv = [w(:);v_start(:);v_end(:);v(:)];

%% Set up training/testing indices
trainNdx = 1:floor(nSentences/2);
testNdx = floor(nSentences/2)+1:nSentences;

%% Example of making potentials and doing inference with first sentence

s = 1;
if useMex
    [nodePotedgePot] = crfChain_makePotentialsC(XwvnFeaturesfeatureStartsentencessnStates);
    [nodeBeledgeBellogZ] = crfChain_inferC(nodePotedgePot);
else
    [nodePotedgePot]=crfChain_makePotentials(Xwv_startv_endvnFeaturesfeatureStartsentencess);
    [nodeBeledgeBellogZ] = crfChain_infer(nodePotedgePot);
end

%% Compute Errors with random parameters

fprintf(‘Errors based on most likely sequence with random parameters:\n‘);

trainErr = crfChain_error(wv_startv_endvXynStatesnFeaturesfeatureStartsentences(trainNdx:)‘decode‘useMex)
testErr = crfChain_error(wv_startv_endvXynStatesnFeaturesfeatureStartsentences(testNdx:)‘decode‘useMex)

fprintf(‘Errors based on max marginals with random parameters:\n‘);

trainErr = crfChain_error(wv_startv_endvXynStatesnFeaturesfeatureStartsentences(trainNdx:)‘infer‘useMex)
testErr = crfChain_error(wv_startv_endvXynStatesnFeaturesfeatureStartsentences(testNdx:)‘infer‘useMex)


%% Training

% Compute objective function over training data
if useMex
    maxSentenceLength = 1+max(sentences(:2)-sentences(:1));
    crfChain_lossC2(wvXynStatesnFeaturesfeatureStartsentencesmaxSentenceLength);
else
    crfChain_loss(wvXynStatesnFeaturesfeatureStartsentences);
end

% Optimize parameters
fprintf(‘Training...\n‘);
if useMex
    [wv] = minFunc(@crfChain_lossC2[w(:);v_start;v_end;v(:)][]XynStatesnFeaturesfeatureStartsentences(trainNdx:)maxSentenceLength);
else
    [wv] = minFunc(@crfChain_losswv[]XynStatesnFeaturesfeatureStartsentences(trainNdx:));
end

% Split up weights
[wv_startv_endv] = crfChain_splitWeights(wvfeatureStartnStates);

%% Decode/Infer/Sample based on first test example

s = testNdx(1);
fprintf(‘True Labels for first test sentence:\n‘);
y(sentences(s1):sentences(s2))‘

fprintf(‘Most likely sequen

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2010-12-15 19:04  crfChain\
     目录           0  2009-04-13 20:36  crfChain\crfChain\
     文件         621  2008-06-22 10:42  crfChain\crfChain\crfChain_decode.m
     文件         915  2009-04-13 20:28  crfChain\crfChain\crfChain_error.m
     文件        1090  2009-04-11 20:49  crfChain\crfChain\crfChain_genSynthetic.m
     文件        1272  2008-06-22 10:41  crfChain\crfChain\crfChain_infer.m
     文件         355  2008-06-22 19:29  crfChain\crfChain\crfChain_initSentences.m
     文件         461  2008-06-22 19:29  crfChain\crfChain\crfChain_initWeights.m
     文件        2636  2008-10-30 20:25  crfChain\crfChain\crfChain_loss.m
     文件        1046  2008-09-13 15:06  crfChain\crfChain\crfChain_makePotentials.m
     文件         772  2008-07-02 16:02  crfChain\crfChain\crfChain_sample.m
     文件         411  2008-06-22 19:29  crfChain\crfChain\crfChain_splitWeights.m
     目录           0  2009-04-13 20:46  crfChain\crfChain\mex\
     文件        4230  2008-10-30 20:25  crfChain\crfChain\mex\crfChain_inferC.c
     文件       12681  2009-04-13 20:46  crfChain\crfChain\mex\crfChain_inferC.mexglx
     文件        9660  2009-01-07 17:35  crfChain\crfChain\mex\crfChain_inferC.mexmac
     文件        8704  2008-10-30 20:25  crfChain\crfChain\mex\crfChain_inferC.mexw32
     文件       12423  2008-10-30 20:25  crfChain\crfChain\mex\crfChain_lossC2.c
     文件       12707  2009-04-13 20:46  crfChain\crfChain\mex\crfChain_lossC2.mexglx
     文件       13820  2009-01-07 17:35  crfChain\crfChain\mex\crfChain_lossC2.mexmac
     文件       12288  2008-10-30 20:25  crfChain\crfChain\mex\crfChain_lossC2.mexw32
     文件        3238  2008-10-30 20:25  crfChain\crfChain\mex\crfChain_makePotentialsC.c
     文件        8470  2009-04-13 20:46  crfChain\crfChain\mex\crfChain_makePotentialsC.mexglx
     文件        9528  2009-01-07 17:35  crfChain\crfChain\mex\crfChain_makePotentialsC.mexmac
     文件        7680  2008-10-30 20:25  crfChain\crfChain\mex\crfChain_makePotentialsC.mexw32
     文件        4411  2009-04-13 20:36  crfChain\example_crfChain.m
     目录           0  2010-12-15 19:00  crfChain\KPM\
     文件        1154  2010-02-07 17:08  crfChain\KPM\mexutil.c
     文件         317  2010-02-07 17:08  crfChain\KPM\mexutil.h
     文件        3965  2010-02-07 17:08  crfChain\KPM\repmatC.c
     文件        7680  2008-08-31 07:11  crfChain\KPM\repmatC.dll
............此处省略24个文件信息

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