openvino.preprocess.PreProcessSteps#
- class openvino.preprocess.PreProcessSteps#
Bases:
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)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)Helper for pickle.
__reduce_ex__
(protocol, /)Helper for pickle.
__repr__
()Return repr(self).
__setattr__
(name, value, /)Implement setattr(self, name, value).
Size of object in memory, in bytes.
__str__
()Return str(self).
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.
pad
(*args, **kwargs)Overloaded function.
resize
(*args, **kwargs)Overloaded function.
reverse_channels
(self)scale
(*args, **kwargs)Overloaded function.
- __class__#
alias of
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.
convert_layout(self: openvino._pyopenvino.preprocess.PreProcessSteps, dst_layout: openvino._pyopenvino.Layout) -> openvino._pyopenvino.preprocess.PreProcessSteps
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: Callable) 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.
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
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
- pad(*args, **kwargs)#
Overloaded function.
pad(self: openvino._pyopenvino.preprocess.PreProcessSteps, pads_begin: list[int], pads_end: list[int], value: float, mode: ov::op::PadMode) -> openvino._pyopenvino.preprocess.PreProcessSteps
Adds padding preprocessing operation.
- param pads_begin:
Number of elements matches the number of indices in data attribute. Specifies the number of padding elements at the ending of each axis.
- type pads_begin:
1D tensor of type T_INT.
- param pads_end:
Number of elements matches the number of indices in data attribute. Specifies the number of padding elements at the ending of each axis.
- type pads_end:
1D tensor of type T_INT.
- param value:
All new elements are populated with this value or with 0 if input not provided. Shouldn’t be set for other pad_mode values.
- type value:
scalar tensor of type T.
- param mode:
pad_mode specifies the method used to generate new element values.
- type mode:
string
- return:
Reference to itself, allows chaining of calls in client’s code in a builder-like manner.
- rtype:
openvino.preprocess.PreProcessSteps
pad(self: openvino._pyopenvino.preprocess.PreProcessSteps, pads_begin: list[int], pads_end: list[int], value: list[float], mode: ov::op::PadMode) -> openvino._pyopenvino.preprocess.PreProcessSteps
Adds padding preprocessing operation.
- param pads_begin:
Number of elements matches the number of indices in data attribute. Specifies the number of padding elements at the ending of each axis.
- type pads_begin:
1D tensor of type T_INT.
- param pads_end:
Number of elements matches the number of indices in data attribute. Specifies the number of padding elements at the ending of each axis.
- type pads_end:
1D tensor of type T_INT.
- param value:
All new elements are populated with this value or with 0 if input not provided. Shouldn’t be set for other pad_mode values.
- type value:
scalar tensor of type T.
- param mode:
pad_mode specifies the method used to generate new element values.
- type mode:
string
- return:
Reference to itself, allows chaining of calls in client’s code in a builder-like manner.
- rtype:
openvino.runtime.PreProcessSteps
- resize(*args, **kwargs)#
Overloaded function.
resize(self: openvino._pyopenvino.preprocess.PreProcessSteps, alg: ov::preprocess::ResizeAlgorithm, dst_height: int, dst_width: int) -> openvino._pyopenvino.preprocess.PreProcessSteps
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.
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
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