marker_separation/py/comparison_comparison.py

import cv2
import numpy as np
from pallete_schema import PalleteSchema
from common import convert_color, closest_color, create_colored_image

class ComparisonComparison:
	def __init__ (self) :
		red = [0, 10, 200]
		green = [5, 250, 5]
		blue = [240, 0, 20]
		comp_colors = [red, green, blue]
		pallete = PalleteSchema('./palletes/printed_pallete.json')
		colors = self.get_colors(pallete.colors)
		for cc in comp_colors :
			ccbgr = convert_color(cc, 'RGB', 'HSV')
			closest = closest_color(colors, ccbgr)
			ccbgr = convert_color(cc, 'RGB', 'BGR')
			#print(f'{convert_color(closest,"BGR","RGB")} for {convert_color(ccbgr,"BGR","RGB")}')
			original = create_colored_image(100, 100, convert_color(closest, 'HSV', 'BGR'))
			chosen = create_colored_image(100, 100, ccbgr)
			combined = np.hstack([original, chosen])
			cv2.imshow("image", combined)
			cv2.waitKey(0)

	def get_colors (self, pallete) :
		colors = []
		for color in pallete :
			colors.append(convert_color(color['color'], 'BGR', 'HSV'))
		return colors

if __name__ == "__main__":
	ComparisonComparison()