More details on how to set the algorithm's hyperparameters in the configuration file ? about btrack HOT 2 OPEN

Hi @hugovaysset - thanks - I hope it's proving useful!

We've been meaning to update the documentation for a while. There's a new CONFIGURATION.md in the root directory with some details now. Can you let me know which parameters in particular you're having trouble with?

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Hi @quantumjot, thanks for the quick answer!

Actually, my questions are very broad and basic about the algorithm that is used in btrack.

I solved the computation time issue by just removing the optimisation step. What is the point of this step ? In other words, what do I loose when I don't do it ? I suppose that this step can substantially increase the quality of the tracking results, so I would like to better understand it. In issue #13, you said "you probably need to change some parameters in the config to better to describe what you are trying to track and what you care about.". Could you please tell me more about which parameters are the most important ones ? Are they more in the Motion model or in the Hypothesis model? I suppose that the number and the type of hypotheses that we test must be important, should I tune them to save computational time? Is the precise value of each numerical parameter in the Hypothesis model (lambda_time, lambda_dist, eta, etc.) really important?

Additionally, I would also be interested in knowing what could be done with the Object model (that is empty in the config file given in the documentation). Is it possible to describe the cells that we want to track, in order to integrate not only the position but also for example the surface of the cells to improve the quality of the tracking results ?

Thanks again.

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