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y5gfunc.filter.morpho

morpho

Functions:

Name Description
minimum
maximum
convolution
inflate
deflate

Attributes:

Name Type Description
NEIGHBOR_OFFSETS

NEIGHBOR_OFFSETS module-attribute 

NEIGHBOR_OFFSETS = [(-1, -1), (0, -1), (1, -1), (-1, 0), (1, 0), (-1, 1), (0, 1), (1, 1)]

minimum 

minimum(clip: VideoNode, planes: Optional[Union[list[int], int]] = None, threshold: Optional[float] = None, coordinates: list[int] = [1, 1, 1, 1, 1, 1, 1, 1], boundary: int = 1, use_std: bool = is_optimized_cpu()) -> VideoNode
Source code in y5gfunc/filter/morpho.py 
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def minimum(
    clip: vs.VideoNode,
    planes: Optional[Union[list[int], int]] = None,
    threshold: Optional[float] = None,
    coordinates: list[int] = [1, 1, 1, 1, 1, 1, 1, 1],
    boundary: int = 1,
    use_std: bool = is_optimized_cpu(),
) -> vs.VideoNode:
    if use_std:
        return core.std.Minimum(clip, planes, threshold, coordinates)  # type: ignore[arg-type]
    else:
        return _create_minmax_expr(
            clip,
            "min! drop{} min@".format(sum(coordinates)),
            " x[0,0] {} - swap max",
            planes,
            threshold,
            coordinates,
            boundary,
        )

maximum 

maximum(clip: VideoNode, planes: Optional[Union[list[int], int]] = None, threshold: Optional[float] = None, coordinates: list[int] = [1, 1, 1, 1, 1, 1, 1, 1], boundary: int = 1, use_std: bool = is_optimized_cpu()) -> VideoNode
Source code in y5gfunc/filter/morpho.py 
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def maximum(
    clip: vs.VideoNode,
    planes: Optional[Union[list[int], int]] = None,
    threshold: Optional[float] = None,
    coordinates: list[int] = [1, 1, 1, 1, 1, 1, 1, 1],
    boundary: int = 1,
    use_std: bool = is_optimized_cpu(),
) -> vs.VideoNode:
    if use_std:
        return core.std.Maximum(clip, planes, threshold, coordinates)  # type: ignore[arg-type]
    else:
        return _create_minmax_expr(
            clip,
            "drop{}".format(sum(coordinates)),
            " x[0,0] {} + swap min",
            planes,
            threshold,
            coordinates,
            boundary,
        )

convolution 

convolution(clip: VideoNode, matrix: list[int], bias: float = 0.0, divisor: float = 0.0, planes: Optional[Union[list[int], int]] = None, saturate: bool = True, mode: str = 's', use_std: bool = is_optimized_cpu()) -> VideoNode
Source code in y5gfunc/filter/morpho.py 
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def convolution(
    clip: vs.VideoNode,
    matrix: list[int],
    bias: float = 0.0,
    divisor: float = 0.0,
    planes: Optional[Union[list[int], int]] = None,
    saturate: bool = True,
    mode: str = "s",
    use_std: bool = is_optimized_cpu(),
) -> vs.VideoNode:
    if planes is None:
        planes = list(range(clip.format.num_planes))
    if isinstance(planes, int):
        planes = [planes]

    if mode != "s" or len(matrix) != 9 or use_std:
        return core.std.Convolution(clip, matrix, bias, divisor, planes, saturate, mode)

    if len(matrix) == 9:
        if abs(divisor) < 1e-9:
            actual_divisor = sum(matrix) if abs(sum(matrix)) > 1e-9 else 1.0
        else:
            actual_divisor = divisor

        coeffs = [f"{c:.6f}" for c in matrix]

        expr_parts = []

        if len(matrix) == 9:
            offsets = [
                (-1, -1),
                (0, -1),
                (1, -1),
                (-1, 0),
                (0, 0),
                (1, 0),
                (-1, 1),
                (0, 1),
                (1, 1),
            ]

        for i, (dx, dy) in enumerate(offsets):
            expr_parts.append(f"x[{dx},{dy}] {coeffs[i]} *")
            if i > 0:
                expr_parts.append("+")

        expr_parts.append(f" {actual_divisor:.6f} / {bias:.6f} + ")

        peak = get_peak_value(clip)

        if saturate:
            expr_parts.append(f"0 {peak} clip")
        else:
            expr_parts.append("abs")
            expr_parts.append(f"{peak} min")

        expr = " ".join(expr_parts)
        expressions = [
            expr if i in planes else "x" for i in range(clip.format.num_planes)
        ]

        return core.akarin.Expr(clip, expressions, boundary=1)

    return core.std.Convolution(clip, matrix, bias, divisor, planes, saturate, mode)

inflate 

inflate(clip: VideoNode, planes: Optional[Union[list[int], int]] = None, threshold: Optional[float] = None, boundary: int = 1, use_std: bool = is_optimized_cpu()) -> VideoNode
Source code in y5gfunc/filter/morpho.py 
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def inflate(
    clip: vs.VideoNode,
    planes: Optional[Union[list[int], int]] = None,
    threshold: Optional[float] = None,
    boundary: int = 1,
    use_std: bool = is_optimized_cpu(),
) -> vs.VideoNode:
    if planes is None:
        planes = list(range(clip.format.num_planes))
    if isinstance(planes, int):
        planes = [planes]

    if use_std:
        return core.std.Inflate(clip, planes, threshold)  # type: ignore[arg-type]

    expr_parts = []

    for i, (dx, dy) in enumerate(NEIGHBOR_OFFSETS):
        expr_parts.append(f"x[{dx},{dy}] 8 / ")
        if i > 0:
            expr_parts.append("+ ")

    expr_parts.append("x max")
    if threshold:
        expr_parts.append(f" x {threshold} + min")
    expr = "".join(expr_parts)

    expressions = [
        expr if (i in planes) else "x" for i in range(clip.format.num_planes)
    ]

    return core.akarin.Expr(clips=[clip], expr=expressions, boundary=boundary)

deflate 

deflate(clip: VideoNode, planes: Optional[Union[list[int], int]] = None, threshold: Optional[float] = None, boundary: int = 1, use_std: bool = is_optimized_cpu()) -> VideoNode
Source code in y5gfunc/filter/morpho.py 
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def deflate(
    clip: vs.VideoNode,
    planes: Optional[Union[list[int], int]] = None,
    threshold: Optional[float] = None,
    boundary: int = 1,
    use_std: bool = is_optimized_cpu(),
) -> vs.VideoNode:
    if planes is None:
        planes = list(range(clip.format.num_planes))
    if isinstance(planes, int):
        planes = [planes]

    if use_std:
        return core.std.Deflate(clip, planes, threshold)  # type: ignore[arg-type]

    expr_parts = []

    for i, (dx, dy) in enumerate(NEIGHBOR_OFFSETS):
        expr_parts.append(f"x[{dx},{dy}] 8 / ")
        if i > 0:
            expr_parts.append("+")

    expr_parts.append("x min")
    if threshold:
        expr_parts.append(f" x {threshold} - max")
    expr = "".join(expr_parts)

    expressions = [
        expr if (i in planes) else "x" for i in range(clip.format.num_planes)
    ]

    return core.akarin.Expr(clips=[clip], expr=expressions, boundary=boundary)