2017-10-29 11:05:30 -0600 | received badge | ● Teacher (source) |
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2017-02-14 10:30:11 -0600 | answered a question | OpenCV SVM prediction probability I know that in the latest version (version 3.2 as of now) you have an int flag param with your predict function. If you set it to 1 it will give you a probability. It should look something like: |
2016-12-28 00:24:09 -0600 | received badge | ● Enthusiast |
2016-12-20 20:11:23 -0600 | commented question | How to visualize the 32 dimension HOG from DPM? Did you build one for this particular function output? I built one myself in Matlab but the HOG was also made by me so, of course, I knew what the values in the data structure were. That's the problem here, I need to know how to interpret the values. |
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2016-12-20 09:28:57 -0600 | received badge | ● Student (source) |
2016-12-20 09:28:20 -0600 | asked a question | How to visualize the 32 dimension HOG from DPM? Hello, I'm relatively new to programming in OpenCV and to the image processing gig so please bear with me. I'm working on my master thesis and I'm trying to find a way to visualize the HOG that I get from the Feature::computeHOG32D function in the DPM opencv_contrib. I have two problems:
The parameters in the function are a bit different:
Regarding the second one, I'm thinking of drawing lines at certain angles and based on the weighted vote I'm going to increase the light intensity. The problems I'm thinking of are:
I'm sorry If I made any mistake please inform me and I will correct it. Thank you for your time! |