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Python implementation of selective search
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&Nbsp; & nbsp; & nbsp; & nbsp; & nbsp; selective search comes from the 2012 IJCV article. The idea is to use the image segmentation method to get some initial segmentation regions (similar to generate a lot of super pixels on the image), and then use the hierarchical grouping strategy (similar to hierarchical clustering) to merge these initial regions, and get these regions as candidate regions for target location; Selective search greatly reduces the search space and improves the speed of the algorithm. &This version is implemented in Python. After installing the dependency library, it can run directly to extract the proposals of any image.
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