90 lines
2.4 KiB
Python
90 lines
2.4 KiB
Python
import cv2
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import numpy as np
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from pallete_schema import PalleteSchema
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from common import convert_color, closest_color, create_colored_image, remove_from_list, closest_color_euclidean, closest_color_weighted_euclidean, euclidean_distance, weighted_euclidean_distance
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class ComparisonComparison:
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def __init__ (self) :
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self.compare_a()
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# self.compare_b()
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def compare_b (self) :
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red = [0, 0, 255]
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green = [0, 255, 0]
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blue = [255, 0, 0]
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white = [255, 255, 255]
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black = [0, 0, 0]
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print(euclidean_distance(red[0], red[1], red[2], green[0], green[1], green[2]))
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def compare_a (self) :
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white = [255, 255, 255]
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red = [0, 10, 200]
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green = [5, 250, 5]
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blue = [240, 0, 20]
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black = [0, 0, 0]
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comp_colors = [white, red, green, blue, black]
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pallete = PalleteSchema('./palletes/printed_pallete.json')
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i = 0
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row = []
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rows = []
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for color in pallete.colors :
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cell = create_colored_image(60, 40, color['color'])
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row.append(cell)
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i += 1
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if i == 10 :
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i = 0
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rows.append(np.hstack(row))
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row = []
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show = np.vstack(rows)
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cv2.imshow('pallete', show)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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color_spaces = ['RGB', 'BGR', 'LAB', 'HSV']
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for space in color_spaces :
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print(f'Comparing in color space {space}')
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colors = self.get_colors(pallete.colors, space)
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show = []
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for cc in comp_colors :
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cccompare = convert_color(cc, 'RGB', space)
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if space == 'RGB' or space == 'BGR' :
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closest, dist = closest_color_weighted_euclidean(colors, cccompare, space)
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else :
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closest, dist = closest_color_euclidean(colors, cccompare)
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colors = remove_from_list(colors, closest)
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ccbgr = convert_color(cc, 'RGB', 'BGR')
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chosenbgr = convert_color(closest, space, 'BGR')
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dcheck = euclidean_distance(ccbgr[2], ccbgr[1], ccbgr[0], chosenbgr[2], chosenbgr[1], chosenbgr[0])
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original = create_colored_image(100, 100, ccbgr)
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chosen = create_colored_image(100, 100, chosenbgr)
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print(f'{ccbgr} => {chosenbgr} = {dist}')
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print(f'dcheck = {dcheck}')
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combined = np.hstack([original, chosen])
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show.append(combined)
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show = np.vstack(show)
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cv2.imshow(space, show)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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def get_colors (self, pallete, space) :
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colors = []
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for color in pallete :
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colors.append(convert_color(color['color'], color['space'], space))
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return colors
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if __name__ == "__main__":
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ComparisonComparison() |