MITViterbi
- plugin MITViterbi(FramePass)
Plugin Type:
FramePassAn implementation of the Multi-Individual Tracking Viterbi algorithm. Runs a viterbi-like algorithm across the frames to determine the maximum scoring paths per individual, assuming an individuals can’t take a paths that would have been more likely for other individuals to have taken.
Settings
The standard deviation of the 2D Gaussian curve used for transition probabilities. Defaults to ‘auto’, which attempts to use an optimized value if one has been computed by a prior pass, and otherwise uses the default value of 1…
- setting skeleton_weight: float = 1
A positive float, determines how much impact probabilities from skeletal transitions should have in each forward/backward step if a skeleton was created and enabled by prior passes… This is not a probability, but rather a ratio.
- setting amplitude: float = 1
The max amplitude of the 2D Gaussian curve used for transition probabilities.
- setting lowest_value: float = 0
The lowest value the 2D Gaussian curve used for transition probabilities can reach.
- setting obscured_probability: RangedFloat[min=0.0, max=1.0] = 1e-06
A constant float between 0 and 1 that determines the probability of going to any hidden state cell.
- setting obscured_survival_max: int = 50
An integer, the max number of points to allow to survive for each frame, if there is more than this value, the top ones are kept.
A float specifying the area over which to flatten the gaussian curve should be less than the norm_dist value. If none, set to the norm_dist.
- setting include_skeleton: bool = True
A boolean. If True, include skeleton information in the forward backward pass, otherwise don’t. If no skeleton has been built in a prior pass, does nothing.
- setting square_distances: bool = False
A boolean. If True, square distances between points before putting them through the gaussian, otherwise don’t.