hotpixel_correction_module.py

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from __future__ import annotations
 
import ctypes
from typing import TypeAlias, cast
 
import numpy as np
import numpy.typing as npt
 
from ids_peak_common import Interval, Point
from ids_peak_common.exceptions import NotSupportedException
from ids_peak_common.serialization import IArchive
from ids_peak_icv import lib_loader
from ids_peak_icv.backend.datatypes import (peak_icv_hotpixel_correction_handle, peak_common_interval_u,
                                              peak_icv_point)
from ids_peak_icv.backend.utils import execute_and_map_return_codes, create_array
from ids_peak_icv.datatypes.image import Image
from ids_peak_icv.pipeline._internal import ModuleBase
 
# Note: We loose type info here, as it is stored as a pointer to a python object
PointArray: TypeAlias = npt.NDArray[np.object_]
 
 
class HotpixelCorrectionModule(ModuleBase):
    """!
    @brief
    Hotpixel correction is an image pipeline module for detecting and correcting hot pixels in camera images.
 
    Provides the feature HotpixelCorrectionFeature.
 
    @since ids_peak_icv 1.0
    """
 
    DEFAULT_HOTPIXEL_LIST: np.ndarray = np.empty(0, dtype=Point)
    """!
    @brief
    Default hotpixel list (empty list).
    
    @since ids_peak_icv 1.0
    """
 
    def __init__(self) -> None:
        """!
        @brief
        Creates a HotpixelCorrectionModule module with default settings (no correction).
 
        @since ids_peak_icv 1.0
        """
        super().__init__()
 
        self._hotpixel_correction_enabled = True
        self._hotpixel_list_hotpixel_list: np.ndarray | None = self.DEFAULT_HOTPIXEL_LIST
 
        _hotpixel_correction_handle = peak_icv_hotpixel_correction_handle()
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_Create,
            ctypes.pointer(_hotpixel_correction_handle)
        )
        self._handle = _hotpixel_correction_handle
 
    @property
    def type(self) -> str:
        """!
        @brief
        Returns the type of the module for serialization purposes.
 
        @return Module type.
 
        @since ids_peak_icv 1.0
        """
        return "HotpixelCorrection"
 
    @property
    def enabled(self) -> bool:
        """!
        @brief
        Gets whether this module is enabled.
 
        When disabled, :func:`process` returns the input image unchanged.
 
        @return True if the module is enabled, False otherwise.
 
        @since ids_peak_icv 1.0
        """
        return self._hotpixel_correction_enabled
 
    @enabled.setter
    def enabled(self, enabled: bool) -> None:
        """!
        @brief
        Enable or disable the module.
 
        When disabled, :func:`process` returns the input image unchanged.
 
        @param enabled: True to enable, False to disable.
 
        @since ids_peak_icv 1.0
        """
        self._hotpixel_correction_enabled = enabled
        self._apply_pixel_list()
 
    @property
    def hotpixel_list(self) -> PointArray:
        """!
        @brief
        Gets the current array of known hot pixels.
 
        @return An array containing the positions of all configured hot pixels.
 
        @since ids_peak_icv 1.0
        """
        if self._hotpixel_list_hotpixel_list is not None:
            return self._hotpixel_list_hotpixel_list
 
        self._call_backend_get_list()
 
        return cast(np.ndarray, self._hotpixel_list_hotpixel_list)
 
    @hotpixel_list.setter
    def hotpixel_list(self, pixel_list: PointArray) -> None:
        """!
        @brief
        Sets the array of known hot pixels.
 
        @param pixel_list: An array of hot pixel positions to use.
 
        @since ids_peak_icv 1.0
        """
        if not isinstance(pixel_list, np.ndarray):
            raise NotSupportedException(
                "Parameter points has to be a numpy array of Point objects.")
 
        if pixel_list.size == 0:
            self.reset_to_defaultreset_to_default()
        self._hotpixel_list_hotpixel_list = pixel_list
        self._apply_pixel_list()
 
    @property
    def sensitivity_range(self) -> Interval:
        """!
        @brief
        Gets the valid range for sensitivity.
 
        @return The valid sensitivity range.
 
        @since ids_peak_icv 1.0
        """
        c_interval = peak_common_interval_u()
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_GetSensitivityRange,
            self._handle, ctypes.pointer(c_interval))
        return Interval(c_interval.minimum, c_interval.maximum)
 
    def detect(self, image: Image, sensitivity: int = 3, gain_factor: float = 1.0) -> None:
        """!
        @brief
        Performs immediate hot pixel detection on the given image.
 
        This method analyzes the provided image and detects hot pixels based on the
        sensitivity setting. The results are stored internally and can be accessed using pixel_list.
 
        Note: Calling this function will overwrite any existing hot pixel list previously set via pixel_list.
 
        @param image:       The input image to analyze for hot pixel detection.
        @param sensitivity: Sensitivity for hot pixel detection. A higher sensitivity
                            may result in detecting more hot pixels, including possible
                            false positives.
        @param gain_factor: Gain factor applied to the image. Used to account for
                            increased noise levels when detecting hot pixels.
 
        @exception NotSupportedException: If image has any other than the supported pixel formats.
 
        @since ids_peak_icv 1.0
        """
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_Detect,
            self._handle, image._handle, ctypes.c_size_t(sensitivity), ctypes.c_float(gain_factor))
        self._call_backend_get_list()
 
    def process(self, input_image: Image) -> Image:
        """!
        @brief
        Applies hot pixel correction to the input image in place and returns a reference to the modified image.
 
        @supportedPixelformats{HotpixelCorrection}
 
        The correction is performed based on the current configuration of the module. The operation modifies the
        input image directly and does not create a copy.
 
        @supportedPixelformats{HotpixelCorrection}
 
        Images with other formats are passed through unmodified.
 
        This operation disregards any specified image regions and processes the entire image.
 
        @param input_image: The input image to be processed and corrected.
 
        @exception NotSupportedException: If image has any other than the supported pixel formats.
 
        @return A new image with hotpixel correction applied.
 
        @since ids_peak_icv 1.0
        """
        if not self.enabledenabledenabledenabledenabledenabledenabledenabled:
            return input_image
 
        if self.hotpixel_listhotpixel_listhotpixel_list.size == 0:
            return input_image
 
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_ProcessInplace,
            self._handle, input_image._handle)
 
        return input_image
 
    def reset_to_default(self) -> None:
        """!
        @brief
        Resets all module settings.
 
        Restores the module configuration to its default values:
        - hotpixel_list = empty np.ndarray of type Point
 
        @since ids_peak_icv 1.0
        """
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_ResetList,
            self._handle)
        self._hotpixel_list_hotpixel_list = self.DEFAULT_HOTPIXEL_LIST
 
    def serialize(self, archive: IArchive) -> None:
        """!
        @brief
        Serializes the object's internal state into the provided archive.
 
        This function populates the given archive with all parameters required to fully represent the current state of the object.
        It ensures that the object can be reconstructed or transmitted accurately by saving all relevant data members
        in a consistent and structured format.
 
        @return The serialized module's internal state.
 
        @since ids_peak_icv 1.0
        """
 
        super().serialize(archive)
 
        archive.set("Enabled", self._enabled_enabled)
 
        pixel_list_archives = []
        for pixel in self.hotpixel_listhotpixel_listhotpixel_list:
            pixel_archive = archive.create_archive()
            pixel_archive.set("X", pixel.x)
            pixel_archive.set("Y", pixel.y)
            pixel_list_archives.append(pixel_archive)
        archive.set("HotpixelList", pixel_list_archives)
 
    def deserialize(self, archive: IArchive) -> None:
        """!
        @brief
        Restores the object's state from the provided archive.
 
        This function reads and applies all necessary parameters from the given archive to reconstruct the internal state of the object.
        It ensures that the object is restored to a valid and consistent state.
 
        @param archive: The source archive containing the serialized parameters.
 
        @exception CorruptedException: If Archive is malformed, misses keys or the values are invalid
        @exception NotSupportedException: If the 'Version' entry indicates an unsupported version.
 
        @note This function requires that the archive contains all expected fields as produced by a corresponding serialize() call.
 
        @since ids_peak_icv 1.0
        """
 
        super().deserialize(archive)
 
        pixel_archives = archive.get("HotpixelList", list)
        pixel_list = []
        for pixel_archive in pixel_archives:
            pixel_x = pixel_archive.get("X", int)
            pixel_y = pixel_archive.get("Y", int)
            pixel_list.append(Point(pixel_x, pixel_y))
 
        self._hotpixel_list_hotpixel_list = np.array(pixel_list)
 
    def _apply_pixel_list(self) -> None:
        pixel_list = cast(np.ndarray, self._hotpixel_list_hotpixel_list) if self._enabled_enabled else self.DEFAULT_HOTPIXEL_LIST
 
        if pixel_list.size == 0:
            self.reset_to_defaultreset_to_default()  # reset_to_default set the internal hotpixel list to an empty list!
            return
 
        self._call_backend_set_list(pixel_list)
 
    def _call_backend_set_list(self, pixel_list: npt.NDArray) -> None:
        size = len(pixel_list)
        c_points = create_array(peak_icv_point, size)
 
        for i, pixel in enumerate(pixel_list):
            c_points[i] = peak_icv_point(pixel.x, pixel.y)
 
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_SetList,
            self._handle, c_points, size
        )
 
    def _call_backend_get_list(self) -> None:
        c_count = ctypes.c_size_t()
        execute_and_map_return_codes(
            lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_GetList_GetCount,
            self._handle, ctypes.pointer(c_count)
        )
 
        if c_count.value == 0:
            self._hotpixel_list_hotpixel_list = None
            return
 
        c_points = create_array(peak_icv_point, c_count.value)
        execute_and_map_return_codes(lib_loader.dll().peak_icv_Preprocessing_HotpixelCorrection_GetList,
                                     self._handle, c_points, c_count)
 
        self._hotpixel_list_hotpixel_list = np.array([Point(p.x, p.y) for p in c_points], dtype=object)