79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
"""Functions to detect card value"""
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from typing import List, Tuple, Optional, Dict
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import enum
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import itertools
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import numpy as np
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import cv2
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from .adjustment import Adjustment, get_square
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from ..board import Card, NumberCard, SpecialCard
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def _extract_squares(
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image: np.ndarray, squares: List[Tuple[int, int, int, int]]
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) -> List[np.ndarray]:
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return [
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image[square[1] : square[3], square[0] : square[2]].copy() for square in squares
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]
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def get_field_squares(
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image: np.ndarray, adjustment: Adjustment, count_x: int, count_y: int
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) -> List[np.ndarray]:
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"""Return all squares in the field, according to the adjustment"""
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squares = []
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for index_x, index_y in itertools.product(range(count_y), range(count_x)):
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squares.append(get_square(adjustment, index_x, index_y))
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return _extract_squares(image, squares)
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def catalogue_cards(squares: List[np.ndarray]) -> List[Tuple[np.ndarray, Card]]:
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"""Run manual cataloging for given squares"""
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cv2.namedWindow("Catalogue", cv2.WINDOW_NORMAL)
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cv2.waitKey(1)
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result: List[Tuple[np.ndarray, Card]] = []
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print("Card ID is [B]ai, [Z]hong, [F]a, [H]ua, [R]ed, [G]reen, [B]lack")
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print("Numbercard e.g. R3")
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abort_row = "a"
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special_card_map = {
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"b": SpecialCard.Bai,
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"z": SpecialCard.Zhong,
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"f": SpecialCard.Fa,
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"h": SpecialCard.Hua,
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}
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suit_map = {
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"r": NumberCard.Suit.Red,
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"g": NumberCard.Suit.Green,
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"b": NumberCard.Suit.Black,
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}
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for square in squares:
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while True:
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cv2.imshow("Catalogue", cv2.resize(square, (500, 500)))
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cv2.waitKey(1)
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card_id = input("Card ID:").lower()
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card_type: Optional[Card] = None
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if len(card_id) == 1:
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if card_id not in special_card_map:
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continue
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card_type = special_card_map[card_id]
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elif len(card_id) == 2:
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if not card_id[0] in suit_map:
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continue
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if not card_id[1].isdigit():
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continue
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if card_id[1] == "0":
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continue
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card_type = NumberCard(
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number=int(card_id[1]), suit=suit_map[card_id[0]]
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)
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else:
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continue
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assert card_type is not None
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print(card_type)
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result.append((square, card_type))
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break
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cv2.destroyWindow("Catalogue")
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assert len(result) == len(squares)
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return result
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