Threshold for Evaluation object detector
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Hi Guys
I would like if possible how to make this Threshold for Evaluation and validation of created R-CNN object Detector, i tried to make it in the attached scripts but it does not work, I want to make Threshold for score that like below 0.58 that score and bboxes should not be appeared
Herein the code:-
load('gTruth.mat')
output = selectLabels(gTruth,'signal');
if ~isfolder(fullfile('EvaluationData'))
mkdir EvaluationData
addpath('EvaluationData');
evaluationData = objectDetectorTrainingData(gTruth,...
'SamplingFactor',1,'WriteLocation','EvaluationData');
end
imds = imageDatastore(fullfile('EvaluationData'));
numImages = height(evaluationData);
result(numImages,:) = struct('Boxes',[],'Scores',[]);
for i = 1:numImages
% Read Image
I = readimage(imds,i);
% Detect the object of interest
[bboxes, scores] = detect(detector,I,'MiniBatchSize', 32);
% Store result
result(i).Boxes = bboxes;
result(i).Scores = scores;
end
% Convert structure to table
results = struct2table(result);
overlap = 0.1;
% Evaluate Metrics
[ap,recall,precision] = evaluateDetectionPrecision(results...
,evaluationData(:,2),overlap);
[am,fppi,missRate] = evaluateDetectionMissRate(results,evaluationData(:,2),overlap)
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