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2017-01-22 06:54:49 -0600 | commented question | How to train HoG manually in Python? berak is right. The c++ tool is perfect for training the classifier. "Translating" the code into python (and only cv2 methods) is not much of an effort, but it gives you the same results, so its not worth it.I removed the code in order not to confuse other users. |
2017-01-13 04:07:09 -0600 | received badge | ● Editor (source) |
2017-01-13 04:06:47 -0600 | commented answer | DPM python bindings? Many thanks! I was just wondering, because it's still state-of-art detection method and no python implementation could be found. I will try your solution. |
2017-01-13 02:35:59 -0600 | asked a question | DPM python bindings? Hello I just wanted to ask if there are python bindings to the DPM (Object Detection with Discriminatively Trained Part-Based Models) detector? I've builded my OpenCV with the contrib modules, but the dpm module is not in python. Many thanks. |
2016-11-07 11:43:55 -0600 | received badge | ● Student (source) |
2016-07-01 03:30:42 -0600 | commented question | How to train HoG manually in Python? I have used the OpenCV methods and set the type of the SVM to EPS_SVR. That worked for me. |
2016-06-24 11:45:06 -0600 | commented question | How to train HoG manually in Python? Thanks for the responce. I have tried the solution, proposed in ( http://answers.opencv.org/question/56...), but I also dont get any detections. It uses only OpenCV for thraining the detector |
2016-06-24 11:05:10 -0600 | asked a question | How to train HoG manually in Python? Hi guys, I'm trying to train my SVM detector and set it on the SVM in detectMultiscale-method implementation of HoG. I want to do it with the Inria person data set in order to achieve maybe the same results, as the guys, who invented the method. Unfortunately I don't have an idea what I'm doing wrong, but I dont detect any people on my test-picture (basically it is a one big picture containing some of the learned images). Below I'm posting my code, but if you have an elegant solution please feel free to share. Thanks. |