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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def size_filter(labeled_grid, min_size):
 """ Remove labeled objects that do not meet size threshold criteria. Args: labeled_grid: 2D output from label method. min_size: minimum size of object in pixels. Returns: labeled grid with smaller objects removed. """

        out_grid = np.zeros(labeled_grid.shape, dtype=int)
        slices = find_objects(labeled_grid)
        j = 1
        for i, s in enumerate(slices):
            box = labeled_grid[s]
            size = np.count_nonzero(box.ravel() == (i + 1))
            if size >= min_size and box.shape[0] > 1 and box.shape[1] > 1:
                out_grid[np.where(labeled_grid == i + 1)] = j
                j += 1
        return out_grid