Threshold for evaluation code R-CNN
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Abdussalam Elhanashi
am 28 Sep. 2019
Beantwortet: Abdussalam Elhanashi
am 29 Sep. 2019
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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Akzeptierte Antwort
Image Analyst
am 28 Sep. 2019
To filter a table you can do something like this
goodRows = [results.Scores] > 0.58;
resutls = results(goodRows, :);
Weitere Antworten (2)
Abdussalam Elhanashi
am 28 Sep. 2019
1 Kommentar
Image Analyst
am 29 Sep. 2019
Here is an example.
LastName = {'Sanchez';'Johnson';'Li';'Diaz';'Brown'};
Age = [38;43;38;40;49];
Smoker = logical([1;0;1;0;1]);
Height = [71;69;64;67;64];
Weight = [176;163;131;133;119];
BloodPressure = [124 93; 109 77; 125 83; 117 75; 122 80];
results = table(LastName,Age,Smoker,Height,Weight,BloodPressure)
goodRows = [results.Height] > 65
results = results(goodRows, :)
You'll see
results =
5×6 table
LastName Age Smoker Height Weight BloodPressure
___________ ___ ______ ______ ______ _____________
{'Sanchez'} 38 true 71 176 124 93
{'Johnson'} 43 false 69 163 109 77
{'Li' } 38 true 64 131 125 83
{'Diaz' } 40 false 67 133 117 75
{'Brown' } 49 true 64 119 122 80
goodRows =
5×1 logical array
1
1
0
1
0
results =
3×6 table
LastName Age Smoker Height Weight BloodPressure
___________ ___ ______ ______ ______ _____________
{'Sanchez'} 38 true 71 176 124 93
{'Johnson'} 43 false 69 163 109 77
{'Diaz' } 40 false 67 133 117 75
Note how results now has fewer rows than before filtering.
Put the code right after you call struct2table.
Siehe auch
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