How to evaluate a cascade classifier?
I used the code of OpenCVBlueprints to plot the pr curve : precision_recall
I generate the annotation and detection file which look like this :
annotations.txt :
/home/...../test/i (100).jpg 1 38 24 87 73
/home/...../test/i (101).jpg 1 35 17 94 74
/home/...../test/i (102).jpg 1 30 19 108 75
/home/...../test/i (103).jpg 1 40 25 85 69
detection.txt:
/home/...../test/i (100).jpg 1 27 21 110 88
/home/...../test/i (101).jpg 1 25 15 113 90
/home/...../test/i (102).jpg 1 26 15 119 95
/home/...../test/i (103).jpg 1 28 23 110 88
/home/...../test/i (104).jpg 0
I execute the precision_recall using :
./precision_recall -groundtruth /home/...../annotations.txt -detections /home/...../detection.txt -output /home/...../pr.txt -minthresh -1 -maxthresh 1 -stepthresh 1
but I obtained that :
Annotated images: 161 Images that triggered detections: 1
annotations: 1 #detections: 1
Segmentation fault (core dumped)
I will have a look at it when getting home from conference. Could you add your issue to the GitHub page of the book? Thanks in advance!