jhacsonmeza / markerpose Goto Github PK
View Code? Open in Web Editor NEWPython and C++ implementation of "MarkerPose: Robust real-time planar target tracking for accurate stereo pose estimation". Accepted at LXCV Workshop @ CVPR 2021.
Python and C++ implementation of "MarkerPose: Robust real-time planar target tracking for accurate stereo pose estimation". Accepted at LXCV Workshop @ CVPR 2021.
Thanks for the opening the wonderful code. Does this library support live video stream? I have rewrote the code for a stereo webcam (640 * 480) instead a dataset, however, the code return a segmentation fault.
Hello, may I ask if you can provide the dataset used in this article?
Hello,
Thanks for the amazing work!
In your paper, you state: "For EllipSegNet training, we extract 120 � 120 patches from some of the images used for training the SuperPoinlike network, resulting in 11010 patches".
Is this DB available? If not how can I create it?
I am only interested in training EllipSegNet.
imlist = sorted(glob.glob(os.path.join(root,'patch120','*')))
masklist = sorted(glob.glob(os.path.join(root,'mask120','*')))
Thanks.
Thanks
Hi, and thank you for making this code available, I have it running perfectly on your dataset.
I would like to adapt it for use as a general marker detector, to be used to find the centre points of randomly placed markers in a space. Something like this:
Where markers could be on any plane, and there could be any number of them. The camera is moving, so markers would come in and out of frame and the number of markers in frame would change dynamically. I would not need the classification step, just the sub pixel point detection.
Do you have any tips for training the models for this use? I imagine the ellipsegnet can stay the same as it is, but i would need to re-train the superpoint network on different images, is that right?
Thanks again!
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