I am trying to create a person re-identification model, therefore, i have developed a Siamese Neural Network (on a RTX 2080 ti) that compare two bounding boxes and give a True, False output with the confidence score.
Right now, I am trying to develop the same model on the jetson nano. But I do not know how to feed the second classifier (my custom one) with two bounding boxes instead of having the pipeline feeding the sgie with one bbox of the pgie. (may I can try to have one image input and the use tf.split to create the pipeline?)
It is possible to have a siamese sgie? I have the uff model but I am not able to try it on deepstream
It is possible to feed the sgie with two bbox? How?