Question

您好我正在研究 HOG 。

这是我的代码：

   % Get labels for each image. 
trainingLabels = trainingSet.Labels;
 % fitcecoc uses SVM learners and a 'One-vs-One' encoding scheme. 
classifier = fitcecoc(trainingFeatures, trainingLabels); 
% Extract HOG features from the test set. 
The procedure is similar to what % was shown earlier and is encapsulated as a helper function for brevity. 
[testFeatures, testLabels] = helperExtractHOGFeaturesFromImageSet(testSet, hogFeatureSize, cellSize);
 % Make class predictions using the test features.
 predictedLabels = predict(classifier, testFeatures);

helperExtractHOGFeaturesFromImageSet功能上出现错误，请给我解决方法。感谢

Answer 1

我知道您一年多以前曾问过这个问题，但是我希望我的回答对将来的用户有所帮助。如果出现此错误“未定义函数或变量'helperExtractHOGFeaturesFromImageSet'”，这是因为此函数未定义！函数helperExtractHOGFeaturesFromImageSet的代码如下：

 function [features, setLabels] = helperExtractHOGFeaturesFromImageSet(imds, 
    hogFeatureSize, cellSize)
% Extract HOG features from an imageDatastore.

setLabels = imds.Labels;
numImages = numel(imds.Files);
features  = zeros(numImages, hogFeatureSize, 'single');

% Process each image and extract features
for j = 1:numImages
    img = readimage(imds, j);
    img = rgb2gray(img);

    % Apply pre-processing steps
    img = imbinarize(img);

    features(j, :) = extractHOGFeatures(img,'CellSize',cellSize);
end

helperExtractHOGFeaturesFromImageSet出错（第10行）

1 个答案: