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  • Creating a Self Extracting Executable | CodeGuru

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    Parameters: backbone_name – name of classifiion model (without last dense layers) used as feature extractor to build segmentation model.; input_shape – shape of input data/image (H, W, C), in general case you do not need to set H and W shapes, just pass (None, None, C) to make your model be able to process images af any size, but H and W of input images should be divisible by factor 32.

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    This class implements lazy kbest extraction on a hypergraph. To seed the kbest extraction, it only needs that each hyperedge should have the best_cost properly set, and it does not require any list being sorted. Instead, the priority queue heap_cands will do internal sorting In fact, the real crucial cost is the transitioncost at each hyperedge.

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