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cheind / py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

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MOTP Metric

andreamaral99 opened this issue · comments

commented

Currently I am searching more about this metrics.
Using the IoU distance we obtain a value for MOTP, for example 0.8. What that means?
What is the range for the MOTP metric? And what is the optimal MOTP value?

For what is written in the github:

Metric MOTP seems to be off. To convert compute (1 - MOTP) * 100. MOTChallenge benchmarks compute MOTP as percentage, while py-motmetrics sticks to the original definition of average distance over number of assigned objects

So do we need to make that conversion to get the right value? In my example it would be 20%. Is it a good value?