different parameters, then she creates the face in 3d format, because as a rule , a 2d image is loaded into neuroseial, and then through numerous there analytical actions she gives a probability, again regarding probable. and according to statistics , a neural network can determine a person’s face from the right angle, in the right light, by 99.8, gender by 97.5, that is, they conducted quite a lot of research, and the similarity under all ideal conditions is almost 100%. if we take the neural networks that are operating now, which help there. storage organs, then 55% similarity is a fairly high result, you need to take into account the fact that a person changes over the years, changes in many ways, only you don’t need to focus 100% on an identikit, because this will not be a guarantee, in criminology this is called a subjective portrait of a person, that is, this is not a portrait by which you can clearly accuse a person, this... the portrait plays a purely auxiliary role that there is a person of this type, and a crime was committed by a person similar to this identikit, it is impossible at the m