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Python implementation of global optimization with gaussian processes
This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...
Track & log x & y displacement, in realtime, of object in webcam
...I released TrackXY to reduce barriers to entry to science.
Planned features include versions for each platform, a GUI, comprehensive data management, and data analysis tools.
To analyze motion in /recorded/ video (not real-time), you may prefer something like PhysMo, also a SourceForge project.