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.tracking/detzero_track/models/tracking_modules/kalman_filter/kalman_filter.py
line34: self.bbox = np.zeros((bbox.shape[0]+2), dtype=np.float32)
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I cherry pick idea from here
https://github.com/jnjaby/KEEP
i integrate some logic to shovle attention gains / uncertainties from previous frames to help training converge
https://github.com/joh…
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currently only kalman filters are implemented for the imm in filterpy lib (at least I think so)
- [x] check this!
- [x] implement pf in imm (as we and D Weidemann did in ASIM 2023)
- [ ] add KDE to…
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Do you have knowledge of Ensemble Kalman Smoother? Is is possible to implement that in this framework?
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On integrating other pose estimations like robot_localization (gps, imu, encoder) or Madgwick Orientation Filter could i provide a pose estimation from these pkgs on the pose and pose_wc topics contin…
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Has anyone thought of implementing aKalman-Filter-based multi-target tracking as part of `opencv_contrib`?
It could address the assignment problem using either Bayesian or deterministic approach (H…
InonS updated
6 years ago
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I'm having trouble with r code snippet of kalman filter:
p=%R pred_all
gives an error like below. Can you please help me to solve this error?
AttributeError: type object 'DataFrame' has…
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Hi,
Thanks very much for this great library.
Just wondering if this library contains regular Kalman filter for linear systems?
Cheers
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Hi,
Thanks for great and simple code, used it and it worked beautifully!
I was thinking to improve the tracking even further yet having real-time speed as it's a requirement in my project. Speci…