Ask Your Question

LucaVeggian's profile - activity

2016-10-04 08:46:23 -0500 received badge  Enthusiast
2016-09-26 10:16:51 -0500 asked a question How the value levelWeigth is calculate by detecMultiscale?

Hi, I understood that levelWeight can be used to have a value of confidence of detection quality, but i can't understand how this value is calculate. someone can explain me? thanks!

2016-09-12 07:10:58 -0500 commented question detectMultiScale on Gpu problem with minNeighbors parameter

Thanks!!!|

2016-09-12 06:04:56 -0500 commented question detectMultiScale on Gpu problem with minNeighbors parameter

is groupRectangles(vector<rect>& rectList, vector<int>& weights, int groupThreshold, double eps=0.2)? Do you mean that in param weights are summed the weight of the groupped rectangles?

2016-09-12 05:49:08 -0500 commented question detectMultiScale on Gpu problem with minNeighbors parameter

please, can you explain me a way for give the score to a detection using the CPU version of detectMultiscale? i'm in panic because I'm not expert in computer vision because, i'm a "system embedeed student" and if you can teach me a little bit on this problem I appreciate it! thanks!

2016-09-08 06:38:03 -0500 commented question detectMultiScale on Gpu problem with minNeighbors parameter

the reason is that my thesis consist of two parts. The first parts is the object detector that detect and assign a score to some target. The second part is an implementation of an algorithm of orienteering that use the previous score for create a strategy to visit the target with constraints of time e maximizing the score. An important thing that I not mentioned is that i use OpenCV version 2.4.12 optimized by Nvidia on a board jetson tk1.

2016-09-07 10:48:15 -0500 asked a question detectMultiScale on Gpu problem with minNeighbors parameter

Hi, for my thesis i'm trying to make a program that can detect an object and can assign to the detection object a score using the GPU. The score represents the quality of the detection.

Using the CPU version of the function detectMultiScale I created a metric for assign a score. I look the list of Rect returned by the functions and a search for those rectangle that are similar in area and position and, after, I group the rectangles into a single one who contains the detected object. This is possible if a put the parameter minNeighbors = 0, in this way detectMultiScale for CPU does not group the rectangle and so i can apply my metric. The problem is when i try to do the same thing with the GPU version of detectMultiScale, indeed if i put the parameter minNeighbors = 0 the classifier does not detect anything!! but if I put minNeighbors = 1 or greater it detect the same object of the CPU classifier version. My teacher pretends the use of GPU and I don't know why the two version of the classifier have not the same behavior. Please, can any one help me to resolve this problem?

I loaded two image that explain what i mean grouped.png ungrouped.png The ungrouped.png is the output of the classifier CPU and grouped.png image is the result of my metric, and 17 is the detection score.

PS: sorry for my english :-)