Hi Tatsuya,
The error you're encountering in MATLAB while using Mask R-CNN suggests that there's an issue with the bounding box (bbox) calculations for certain images. The error message:
"Index in position 2 exceeds array bounds"
indicates that the code is trying to access an array element that does not exist. This often happens in object detection tasks when the calculated coordinates of a bounding box extend outside the dimensions of the image.
In your case, the problem seems to occur in the conversion of bbox format from [x y w h] (x-coordinate, y-coordinate, width, height) to [x1 y1 x2 y2] (top-left and bottom-right coordinates). The specific line causing the error:
boxes(:,3) = boxes(:,1) + boxes(:,3) - 1;
is trying to calculate the x2 coordinate (right side of the bbox) but goes out of the image bounds.
To address this issue, you should add a check before this line to ensure that the 'x2' and 'y2' coordinates do not exceed the image dimensions. Here is a modification of the relevant part of your code to include this check:
% Assuming you have the image dimensions as imgWidth and imgHeight
% Loop through each bounding box and adjust if necessary
for i = 1:size(boxes, 1)
% Calculate x2 and y2 while ensuring they don't exceed image bounds
boxes(i, 3) = min(boxes(i, 1) + boxes(i, 3) - 1, imgWidth);
boxes(i, 4) = min(boxes(i, 2) + boxes(i, 4) - 1, imgHeight);
end
Before using this code, ensure you have the image width (imgWidth) and height (imgHeight) available. These values should correspond to the dimensions of the image being processed.
This modification will prevent the bounding box coordinates from exceeding the image's boundaries, thus avoiding the index out-of-bounds error. However, keep in mind that this is a workaround, and it's essential to further investigate why certain bounding boxes are calculated to be outside the image dimensions. It could be due to incorrect bbox predictions from the Mask R-CNN model or issues with the input data.
Hope this helps!
