2016-10-08 09:30:58 -0600 | commented question | Haar Training detectMultiScale does not work very well when size vary The code I'm using to test my classifier is the following: import numpy as np import cv2 I trained my classifier withe 1950 negative, positives images and 30 steps for the haartraining. |
2016-10-07 14:27:39 -0600 | asked a question | Haar Training detectMultiScale does not work very well when size vary Hello, I created my CascadeClassifier in order to find in some images if a parking sign is present. Sadly, it does not work very well. When I analyse the image from my webcam, taking a picture of a parking sign I printed and vary the distance between the image and my webcam, it only work when I am at a quite precise distance. The cascade identifier does not work when the image appear too big or too small. I played with the scaleFactor but it didn't helped. Could you help me find a way to identify if a parking sign is in the picture, whatever the size of it in the picture? |