image size of positive image set for training
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We are using the trainCascadeObjectDetector( Current_Detector, imageData, negativeFolder, ... 'FalseAlarmRate', 0.5, ... 'TruePositiveRate', 0.995, ... 'NumCascadeStages', 10, ... 'FeatureType', 'Haar');
to train a cascade classifier.
Attached is a sample of a positive image for training (tropicana_cropped.png). I have also attached the test image (test_image.jpg).
Question: Should the sizes of the positive images (for training) be the same as in the objects-of-interest in the test image? For example, should the image of the "tropicana_cropped.png" be reduced in size to be very similar to the "Tropicana" in the test image before Training?
Thanks, Ed
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Tohru Kikawada
el 21 de Feb. de 2017
You don't need to care the size of images. This is because vision.CascadeObjectDetector performs multiscale object detection on the input image. See this link for details.
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