Saving Label output using for loop
显示 更早的评论
image_folder = cd;
filenames = dir(fullfile(image_folder, '*.jpg'));
total_images = numel(filenames);
col = cell(1, total_images);
for n = 1:total_images
net = googlenet;
inputSize = net.Layers(1).InputSize;
classNames = net.Layers(end).ClassNames;
numClasses = numel(classNames);
f = fullfile(image_folder, filenames(n).name);
our_images = imread(f);
I = imresize(our_images,inputSize(1:2));
[label,scores] = classify(net,I);
label
col{1,n} = sprintf(label, n);
end
I am using the following code, what it does is run each image and assign a label to it. What I am trying to do is save each label in the same array also to save me writing it all out on excel as they are a lot of photos. there is a problem with the final line as saying label is not suitable. When i type 'label' it just saves the word label in each array section. Anyone have any idea how to save each outputted label? An example of the output labels for one of the images = "Fridge". When i dont add the final line it just outputs all the labels in the command window. Thanks
采纳的回答
Srivardhan Gadila
2021-3-23
image_folder = cd;
filenames = dir(fullfile(image_folder, '*.jpg'));
net = googlenet;
inputSize = net.Layers(1).InputSize;
classNames = net.Layers(end).ClassNames;
numClasses = numel(classNames);
total_images = numel(filenames);
labels = categorical.empty(total_images,0);
for n = 1:total_images
f = fullfile(image_folder, filenames(n).name);
our_images = imread(f);
I = imresize(our_images,inputSize(1:2));
[label,scores] = classify(net,I);
label
labels(n,1) = label;
end
labelsStr = string(labels)
Alternatively you can make use of imageDatastore, augmentedImageDatastore and avoid the for loop and use YPred = classify(net,ds) function to get the predictions directly using the datastore.
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Object Detection 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
