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2016-08-17 09:39:17 -0600 | commented answer | Running Leeds pose estimation code Ohhh, on the results page. Got it. I do see the code projects now. Was completely missing it. So although its not C++ Ill try my best at figuring out how to run Torch7. Was hoping to use opencv and c++. Never touched torch before. Ill give it a shot! |
2016-08-16 22:43:02 -0600 | commented answer | Running Leeds pose estimation code Thats what I thought :-) So here is my issue. I have the need to detect body points for my application. I am trying to find code that is written in C++ that will allow me to do this. I have found a few libraries that contain code to detect points using different models. I would like to find out how to detect the body points in a 2d image. I hope this makes sense. Thanks again for your help! John |
2016-08-16 22:19:50 -0600 | commented answer | Running Leeds pose estimation code Hi, thanks for the answer, I have found this dataset before and I guess my struggle is HOW to use it ;-) I think this would be fantastic, and have downloaded the evaluation toolkit but I guess my question is how to use the dataset to detect positions. Im quite new to this so any help is appreciated. Im trying to get this running with C++ not matlab if possible. |
2016-08-16 10:02:38 -0600 | asked a question | Running Leeds pose estimation code I am trying to find a reliable pose estimation sample out there and have run across several codebases on github. wg-perception being one of them. I ended up running a codebase that I found and while it compiles and runs, the joints that are detected using the model are far from great. I found this online: http://www.comp.leeds.ac.uk/mat4saj/l... And while I see the annotations on the images, I was hoping the resulting detections would look like that ;-) My goal is to detect the joints of the human body from still images. I know this is a big issue, but it would really be fantastic. Thanks, John |
2016-08-11 10:41:52 -0600 | commented question | Cant compile opencv3 on ubuntu I tried to answer my own question but it wouldn't let me, but here is what worked. The libraries that were "missing" were actually located in the following directory: /usr/lib/x86_64-linux-gnu/ So I had to execute the following line: export PKG_CONFIG_PATH=/usr/lib/x86_64-linux-gnu/pkgconfig And then I ran all my installation scripts as usual. I tried to paste the entire script for installation (that works actually) and the formatting was insane. Send me a note if you want the script for installing opencv3 with opencv_contrib on ubuntu. Thanks everyone for your answers! |
2016-08-10 09:52:46 -0600 | commented question | Cant compile opencv3 on ubuntu Yes, I have installed the required packages and confirmed that they are installed. It seems they aren't linked possibly? Or opencv3 can't find them for some reason. |
2016-08-09 22:00:37 -0600 | asked a question | Cant compile opencv3 on ubuntu Hi guys and gals, Ive been trying to compiles opencv3 on ubuntu and am hitting this error: * No rule to make target I have ffmpeg installed, and cannot figure out who to get this to work properly. Any ideas? Thanks, John |
2016-08-01 09:35:26 -0600 | received badge | ● Enthusiast |
2016-07-21 10:21:05 -0600 | commented question | SVM predict multiclass Yeah, that is what I thought too, but then I found this post which got me thinking that it is. I could not find this line of code in the opencv 3.1 file mentioned but I DID find getDecisionFunction method. Im just not sure how to use it, its a bit over my head. Im trying to detect multiple positions of one human in a video. Someone told me a multi class SVM is the way to go, and I have the code working, just doesn't give probability...so this method is moot if I can't get that. When I run the video it will classify the first 100 frames as "1" the next 100 as "2", and so forth. I just need the BEST match for each class that I train in the SVM. |
2016-07-20 23:04:18 -0600 | asked a question | SVM predict multiclass Im curious about how to go about using the predict method in SVM for a multi class object detector using BoF and SIFT. Ive trained the svm with 8 classes, and when I call predict it determines the class label. Thats all well and good but I am trying to determine the probability. I am reading video frames and each frame is so closely related that the label alone will not help. I need to figure out how to calculate the probability so that I can choose the closest match possible after reading all of the frames. I am looking into getDecisionFunction but the result is always the same (0.986196) for each frame in the video that I am using the SVM to predict. Is there a step that I need to take in order to fetch the probability of the prediction? I am using openCV 3.1 if this helps. Thanks, John |