I'm trying to implement a feedforward neural network that recognize a type of cable based on chain codes derivative vector. The size of my chain codes derivative vectors is variable, and I would like them to converge to the same length. As a solution I'm thinking about a frequency vector that will contain each direction(8 in total). So from a variable length, all the vectors will converge to vectors of length 8. Is this approach ok?
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