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