Measure frame per second for deployed yolov2 in jetson nano

Hi guys

Any idea for adding how to to add function measuring frame per seconds when deploying the following code to jetson nano

function yolo2detectobject()
%#codegen
%Copyright 2019 - 2019 The MathWorks, Inc.
%Load the pre-trained    detection network
persistent yolov2Obj;
if isempty(yolov2Obj)
        yolov2Obj = coder.loadDeepLearningNetwork('detectorYolo2.mat');
end
hwobj = jetson;
w = camera(hwobj,"vi-output, imx219 6-0010",[1280 720]);
d = imageDisplay(hwobj);
for k = 1:1800
    % Capture the image from the webcam on hardware.
   I = snapshot(w);
    I=imresize(I,[640 480]);
    
    % Run the detector on the input test image
    [bboxes, scores, ~] = detect(yolov2Obj, I,'Threshold',0.5);
    
    % Insert bounding box to test image
    I = insertObjectAnnotation(I, 'rectangle', bboxes, scores);
    
    % Display output on the target monitor
    image(d, I);
    
end
end

Answer 1

[Nitin Kapgate]

Hi Abdussalam,

You can find an answer to a similar problem of measuring the performance of the detection algorithm in Frames Per Second here