Hi Ahmad,
I understand that you are using the “yolov2” pre-trained model to detect regions of interest, and subsequently, you aim to add bounding boxes around these detected regions.
While using the “detect” function two inputs need to be passed:
- Detector - A YOLO object detector.
- Image – Input image on which detection needs to be performed.
Further, the threshold can be passed using the “Threshold” parameter followed by a double value.
Here is an example code:
% Loading a pretrained yolov2 for vechicle detection
vehicleDetector = load('yolov2VehicleDetector.mat','detector');
detector = vehicleDetector.detector;
% Reading a sample image
I = imread('highway.png');
% imshow(I);
% Running the model on sample image for detection
[bboxes,scores,labels] = detect(detector,I,"Threshold",0.2);
% Plotting the bounding box on detected regions
if ~isempty(bboxes)
detectedI = insertObjectAnnotation(I,'rectangle',bboxes,cellstr(labels));
end
figure
imshow(detectedI)
For more information about the “detect” function, please refer to the following documentation:
Hope this information helps!
Best Regards,
Moksh Aggarwal
