
Identical output with totally different inputs in facenet machine studying mannequin in iOS utilizing tensorflow lite
I’m implementing face recognition and clustering software in iOS, For that first I’ve detected faces from picture and cropped face photographs utilizing MLKit, That works nicely. Now I’m giving cropped face photographs in face recognition machine studying fashions utilizing tensorflow lite to get vectors for face. However On this second step, I get identical output…