MOTP with euclidean distance metric gives mean squared distance.

[angelcarro]

When usign motmetrics.utils.compare_to_groundtruth() function with dist='euc', the distance metric is configured to the squared euclidean distance (norm2squared_matrix).
As a consequence, the distance threshold (distth) should be the maximum squared distance. Also, the MOTP metric returns the mean squared distance.

The compute_euc() function can be modified to obtain the desired/expected units.

py-motmetrics/motmetrics/utils.py

Line 54 in 1ad168c

return norm2squared_matrix(a, b, max_d2=distth)

    def compute_euc(a, b):
        return np.sqrt(norm2squared_matrix(a, b, max_d2=distth**2))

I don't think this will have much impact on the computation time.

[cheind]

Hey, sorry for the late reply. Yes that seems like an oversight when we added euclidean distance metrics. Would you mind opening a PR?