openvino.preprocess.PreProcessSteps

class openvino.preprocess.PreProcessSteps

Bases: pybind11_builtins.pybind11_object

openvino.runtime.preprocess.PreProcessSteps wraps ov::preprocess::PreProcessSteps

__init__(*args, **kwargs)

Methods

__delattr__(name, /)

Implement delattr(self, name).

__dir__()

Default dir() implementation.

__eq__(value, /)

Return self==value.

__format__(format_spec, /)

Default object formatter.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__init__(*args, **kwargs)

__init_subclass__

This method is called when a class is subclassed.

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__new__(**kwargs)

__reduce__()

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__()

Return repr(self).

__setattr__(name, value, /)

Implement setattr(self, name, value).

__sizeof__()

Size of object in memory, in bytes.

__str__()

Return str(self).

__subclasshook__

Abstract classes can override this to customize issubclass().

convert_color(self, dst_format)

convert_element_type(self[, type])

Converts input tensor element type to specified type.

convert_layout(*args, **kwargs)

Overloaded function.

crop(self, begin, end)

custom(self, operation)

Adds custom preprocessing operation.

mean(*args, **kwargs)

Overloaded function.

resize(*args, **kwargs)

Overloaded function.

reverse_channels(self)

scale(*args, **kwargs)

Overloaded function.
__class__

alias of pybind11_builtins.pybind11_type

__delattr__(name, /)

Implement delattr(self, name).

__dir__()

Default dir() implementation.

__eq__(value, /)

Return self==value.

__format__(format_spec, /)

Default object formatter.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__init__(*args, **kwargs)
__init_subclass__()

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__new__(**kwargs)
__reduce__()

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__()

Return repr(self).

__setattr__(name, value, /)

Implement setattr(self, name, value).

__sizeof__()

Size of object in memory, in bytes.

__str__()

Return str(self).

__subclasshook__()

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

convert_color(self: openvino._pyopenvino.preprocess.PreProcessSteps, dst_format: ov::preprocess::ColorFormat) → openvino._pyopenvino.preprocess.PreProcessSteps
convert_element_type(self: openvino._pyopenvino.preprocess.PreProcessSteps, type: openvino._pyopenvino.Type = openvino.runtime.Type.undefined) → openvino._pyopenvino.preprocess.PreProcessSteps

Converts input tensor element type to specified type. Input tensor must have openvino.Type data type.

Parameters

type (openvino.runtime.Type) – Destination type. If not specified, type will be taken from model input’s element type

Returns

Reference to itself to allow chaining of calls in client’s code in a builder-like manner.

Return type

openvino.runtime.preprocess.PreProcessSteps

convert_layout(*args, **kwargs)

Overloaded function.

  1. convert_layout(self: openvino._pyopenvino.preprocess.PreProcessSteps, dst_layout: openvino._pyopenvino.Layout) -> openvino._pyopenvino.preprocess.PreProcessSteps

  2. convert_layout(self: openvino._pyopenvino.preprocess.PreProcessSteps, dims: List[int]) -> openvino._pyopenvino.preprocess.PreProcessSteps

crop(self: openvino._pyopenvino.preprocess.PreProcessSteps, begin: List[int], end: List[int]) → openvino._pyopenvino.preprocess.PreProcessSteps
custom(self: openvino._pyopenvino.preprocess.PreProcessSteps, operation: function) → openvino._pyopenvino.preprocess.PreProcessSteps

Adds custom preprocessing operation.

Parameters

operation (function) – Python’s function which takes openvino.runtime.Output as input argument and returns`openvino.runtime.Output`.

Returns

Reference to itself, allows chaining of calls in client’s code in a builder-like manner.

Return type

openvino.runtime.preprocess.PreProcessSteps

mean(*args, **kwargs)

Overloaded function.

  1. mean(self: openvino._pyopenvino.preprocess.PreProcessSteps, value: float) -> openvino._pyopenvino.preprocess.PreProcessSteps

    Subtracts single float value from each element in input tensor. Input tensor must have ov.Type.f32 data type.

    param value

    Value to subtract.

    type value

    float

    return

    Reference to itself to allow chaining of calls in client’s code in a builder-like manner.

    rtype

    openvino.runtime.preprocess.PreProcessSteps

  2. mean(self: openvino._pyopenvino.preprocess.PreProcessSteps, values: List[float]) -> openvino._pyopenvino.preprocess.PreProcessSteps

    Subtracts a given single float value from each element in a given channel from input tensor. Input tensor must have ov.Type.f32 data type.

    param values

    Values to subtract.

    type values

    List[float]

    return

    Reference to itself to allow chaining of calls in client’s code in a builder-like manner.

    rtype

    openvino.runtime.preprocess.PreProcessSteps

resize(*args, **kwargs)

Overloaded function.

  1. resize(self: openvino._pyopenvino.preprocess.PreProcessSteps, alg: ov::preprocess::ResizeAlgorithm, dst_height: int, dst_width: int) -> openvino._pyopenvino.preprocess.PreProcessSteps

  2. resize(self: openvino._pyopenvino.preprocess.PreProcessSteps, alg: ov::preprocess::ResizeAlgorithm) -> openvino._pyopenvino.preprocess.PreProcessSteps

reverse_channels(self: openvino._pyopenvino.preprocess.PreProcessSteps) → openvino._pyopenvino.preprocess.PreProcessSteps
scale(*args, **kwargs)

Overloaded function.

  1. scale(self: openvino._pyopenvino.preprocess.PreProcessSteps, value: float) -> openvino._pyopenvino.preprocess.PreProcessSteps

    Divides each element in input tensor by specified constant float value. Input tensor must have ov.Type.f32 data type.

    param value

    Value used in division.

    type value

    float

    return

    Reference to itself to allow chaining of calls in client’s code in a builder-like manner.

    rtype

    openvino.runtime.preprocess.PreProcessSteps

  2. scale(self: openvino._pyopenvino.preprocess.PreProcessSteps, values: List[float]) -> openvino._pyopenvino.preprocess.PreProcessSteps

    Divides each element in a given channel from input tensor by a given single float value. Input tensor must have ov.Type.f32 data type.

    param values

    Values which are used in division.

    type values

    List[float]

    return

    Reference to itself to allow chaining of calls in client’s code in a builder-like manner.

    rtype

    openvino.runtime.preprocess.PreProcessSteps