Expected LABEL to be nonempty error when running YOLOv2 on my own dataset
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hello,
when i try to run YOLOv2 as in https://www.mathworks.com/help/deeplearning/examples/object-detection-using-yolo-v2.html
using my own dataset i got this kind of error and i don't know what;s wrong with my dataset? could anyone please explian what does this erorr mean and how can in solve it ?
Error using insertObjectAnnotation
Expected LABEL to be nonempty.
Error in insertObjectAnnotation>checkLabel (line 290)
validateattributes(label, {'numeric'}, ...
Error in insertObjectAnnotation>validateAndParseInputs (line 180)
checkLabel(label);
Error in insertObjectAnnotation (line 123)
validateAndParseInputs(I, shape, position, label, varargin{:});
Error in YOLOv2 (line 153)
I = insertObjectAnnotation(I,'rectangle',bboxes,scores);
7 Kommentare
ybec
am 16 Feb. 2022
I am getting the same error, but it appears when the image "highway.png" is changed for another one.
I = imread('highway.png');
I = imresize(I,inputSize(1:2));
[bboxes,scores] = detect(detector,I);
ybec
am 18 Feb. 2022
Yonathan Zarkovian, I think the error shows up when an image is not what the algorithm is waiting for. I uploaded different kind of images and only similar images to the dataset worked.
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