54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
from .context import shenzhen_solitaire
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from shenzhen_solitaire.cv import adjustment
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from shenzhen_solitaire.cv import card_finder
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from typing import Tuple, List, Dict
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import cv2
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import numpy
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import itertools
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def pixelcount(image: numpy.ndarray) -> List[Tuple[Tuple[int, int, int], int]]:
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p: Dict[Tuple[int, int, int], int] = {(0, 0, 0): 0}
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for pixel in itertools.chain.from_iterable(image):
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x = tuple(pixel)
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if x in p:
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p[x] += 1
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else:
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p[x] = 1
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B = sorted(p.items(), key=lambda x: x[1])
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return B
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def simplify(image: numpy.ndarray) -> None:
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cv2.imshow("Window", image)
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cv2.waitKey(0)
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cv2.destroyWindow("Window")
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print(*card_finder.simplify(image).items(), sep='\n')
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cv2.imshow("Window", image)
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cv2.waitKey(0)
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cv2.destroyWindow("Window")
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def main() -> None:
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image = cv2.imread("Solitaire.png")
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image2 = cv2.imread("Solitaire2.png")
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image2 = cv2.resize(image2, (1000, 629))
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adj = adjustment.adjust_field(image)
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squares = card_finder.get_simplified_squares(image, adj)
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print("Simplified")
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adj.x -= 2
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adj.y -= 2
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adj.w += 5
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adj.h += 5
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image_squares = card_finder.get_field_squares(image2, adj)
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for i in range(10,20):
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image_squares[i], _ = card_finder.simplify(image_squares[i])
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print("Finding...")
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found_image, certainty = card_finder.find_square(image_squares[i], squares)
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if __name__ == "__main__":
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main()
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