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# LSNMS
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Speeding up Non Maximum Suppresion ran on very large images by a several folds factor, using a sparse implementation of NMS.
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This project describes a "sparse" implementation of Non Maximum Suppression, useful in the case of very high dimensional images data, when the amount of predicted instances to prune becomes considerable (> 10,000 objects).
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