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Python Genetic Algorithm. How to cross object coordinates?
I have a dataset in which there are 10000 scenes with objects (boxes), objects have exact coordinates and I have an algorithm for comparing images (generated scenes with real photo boxes).
The essence of the task is this: take the coordinates of the boxes from the scenes that are most similar to a real photo, and cross these coordinates using a genetic algorithm.
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Coordinates (like any data) are crossed in a standard GA way. Represent coordinates as a binary string of fixed length. The result of crossing the coordinates of 2 boxes will be the beginning of the line from one box, and after a random length, the continuation of the line from the other box. All.
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