If you mean you improved the
segmentation code and you think your improvements could be beneficial
for other users, I would be very happy to discuse and adding them in
next release. If you mean you improved your recording and found the
working segmentation parameters for your videos, then great!
of details can cause the failure of Protocol 1 and 2. Some videos are
very difficult to track for idtrackerai, even when they seem very easy
for humans. Note that idtrackerai don't identify crossing blobs, it only
identifies individual ones. Crossing blobs are solved assuming
relatively short crossings and applying some simple logic. For videos
where animals overlap for long periods of time, this crossing solver can
Once in the Validator, you can
change identities by double clicking on any centroid and setting a new
identity. Also, you can browse errors activating the interpolator for
trajectory gaps (time slices when some identity is gone). The documentation can help (here
The estimated accuracy is the average identification certainty of all the identified individual blobs. So, non identified blobs and crossing blobs don't matter regarding this metric.