cgddrd/CS39440-major-project

File tse_imageutils.py has 342 lines of code (exceeds 250 allowed). Consider refactoring.

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"""

Module Name: TSEImageUtils

Description: Provides functionality relating to image processing and template matching.

Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def calc_ed_template_match_score_scaled_slow(template_patch, scaled_search_window):
        """
        Alternative method to calculate the Euclidean Distance similarity between two images, geometrically-scaling the first image as
        appropriate in order to match the dimensions of the second image.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def scale_image_no_interpolation_auto(source_image, target_image):
        """
        Geometrically scales each pixel of an image relative to the centre pixel without interpolating between original pixels.
        Calculates scale factor based upon the difference in size between two input images.

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    @staticmethod
    def calc_template_match_compare_cv2_score_scaled(template_image, current_search_window, match_method):
        """
        Performs geometric scaling of the template image in order to subsequently
        run appearance-based matching utilising the OpenCV 'matchTemplate' function.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def scale_image_roi_relative_centre(origin_coordinate, end_coordinate, scale_factor):
        """
        Scales the boundary edge of an image relative to the centre coordinate, based upon a specific scale factor.

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Similar blocks of code found in 3 locations. Consider refactoring.

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    @staticmethod
    def calc_ed_template_match_score_scaled_compiled(template_patch, scaled_search_window):
        """
        Most efficient method to calculate the Euclidean Distance similarity between two images, geometrically-scaling the first image as
        appropriate in order to match the dimensions of the second image.

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Similar blocks of code found in 3 locations. Consider refactoring.

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    @staticmethod
    def calc_ed_template_match_score_scaled(template_patch, scaled_search_window):
        """
        Calculates the Euclidean Distance similarity between two images, geometrically-scaling the first image as
        appropriate in order to match the dimensions of the second image.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def scale_image_interpolation_auto(source_image, target_image):
        """
        Scales the original image by INTERPOLATING between original pixels.
        Calculates scale factor based upon the difference in size between two input images. Utilises OpenCV 'resize' function.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def calc_ed_template_match_score_scaled_compiled_slow(template_patch, scaled_search_window):
        """
        Slower method to calculate the Euclidean Distance similarity between two images, geometrically-scaling the first image as
        appropriate in order to match the dimensions of the second image. (Uses same method as 'TSEImageUtils.calc_ed_template_match_score_scaled_slow')

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def calc_compare_hsv_histogram(image_1, image_2, match_method):
        """
        Performs histogram-based template matching between two images represented by the HSV colour space, utilising the OpenCV 'calcHist' and 'compareHist' functions.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def extract_rows_cols_pixels_image(required_rows, required_cols, image):
        """
        Extracts the pixel defined at each specified row-column position within the image by calculating the cartesian product
        between the collection of specified rows and columns.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def calc_template_match_compare_cv2_score(image_1, image_2, match_method):
        """
        Performs appearance-based matching between two images utilising the OpenCV 'matchTemplate' function.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def scale_image_interpolation_man(source_image, scale_factor):
        """
        Scales the original image by INTERPOLATING between original pixels. Utilises OpenCV 'resize' function.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def calc_scaled_image_pixel_dimension_coordinates(image_dim_end, scale_factor, image_dim_start=0, round=True):
        """
        Scales a range of pixel dimension coordinates (i.e. all X coordinates OR Y-coordinates) by a scaling factor.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def convert_hsv_and_remove_luminance(image):
        """
        Converts an RGB colour image to use the HSV colour space (using 'cv2.cvtColor'), before removing the 'Value' channel by setting it to 0 in all pixels.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def reshape_match_images(current_matrix, target_matrix):
        """
        If required, re-shapes the structure of two Numpy 'ndarray' objects representing images so that they match.

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Identical blocks of code found in 2 locations. Consider refactoring.

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    @staticmethod
    def extract_image_sub_window(source_image, origin_coordinates, end_coordinates):
        """
        Extracts a region from the original image defined by top-left and bottom-right origin coordinates.

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