Refactoring
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16_10_conf.zip
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BIN
16_10_conf.zip
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@@ -6,6 +6,7 @@ from typing import Optional, Tuple
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import cv2
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import numpy
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import math
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@dataclass
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@@ -16,8 +17,8 @@ class Adjustment:
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y: int = 0
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w: int = 0
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h: int = 0
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dx: int = 0
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dy: int = 0
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dx: float = 0
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dy: float = 0
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def get_square(
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@@ -25,10 +26,10 @@ def get_square(
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) -> Tuple[int, int, int, int]:
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"""Get one square from index and adjustment"""
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return (
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adjustment.x + adjustment.dx * index_x,
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adjustment.y + adjustment.dy * index_y,
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adjustment.x + adjustment.w + adjustment.dx * index_x,
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adjustment.y + adjustment.h + adjustment.dy * index_y,
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math.floor(adjustment.x + adjustment.dx * index_x),
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math.floor(adjustment.y + adjustment.dy * index_y),
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math.floor(adjustment.x + adjustment.w + adjustment.dx * index_x),
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math.floor(adjustment.y + adjustment.h + adjustment.dy * index_y),
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)
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@@ -41,9 +42,10 @@ def adjust_squares(
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if not adjustment:
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adjustment = Adjustment(w=10, h=10)
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high_speed = False
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speed_mod = "n"
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speed_mods = ["n", "s", "h"]
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def _adjustment_step(keycode: int, high_speed: bool) -> None:
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def _adjustment_step(keycode: int, speed_mod: str) -> None:
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assert adjustment is not None
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x_keys = {104: -1, 115: +1}
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y_keys = {116: -1, 110: +1}
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@@ -51,8 +53,8 @@ def adjust_squares(
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h_keys = {111: -1, 101: +1}
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dx_keys = {59: -1, 112: +1}
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dy_keys = {44: -1, 46: +1}
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high_speed_fac = 10
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cur_high_speed_fac = high_speed_fac if high_speed else 1
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speed_facs = {"n": 1, "s": 8, "h": 64}
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cur_high_speed_fac = speed_facs[speed_mod]
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if keycode in x_keys:
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adjustment.x += x_keys[keycode] * cur_high_speed_fac
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elif keycode in y_keys:
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@@ -62,9 +64,10 @@ def adjust_squares(
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elif keycode in h_keys:
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adjustment.h += h_keys[keycode] * cur_high_speed_fac
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elif keycode in dx_keys:
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adjustment.dx += dx_keys[keycode] * cur_high_speed_fac
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adjustment.dx += dx_keys[keycode] * cur_high_speed_fac * 1 / 8
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elif keycode in dy_keys:
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adjustment.dy += dy_keys[keycode] * cur_high_speed_fac
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adjustment.dy += dy_keys[keycode] * cur_high_speed_fac * 1 / 8
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cv2.namedWindow("Window", flags=cv2.WINDOW_NORMAL)
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while True:
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@@ -72,7 +75,10 @@ def adjust_squares(
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for index_x, index_y in itertools.product(range(count_x), range(count_y)):
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square = get_square(adjustment, index_x, index_y)
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cv2.rectangle(
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working_image, (square[0], square[1]), (square[2], square[3]), (0, 0, 0)
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working_image,
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(math.floor(square[0]), math.floor(square[1])),
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(math.floor(square[2]), math.floor(square[3])),
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(0, 0, 0),
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)
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cv2.imshow("Window", working_image)
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keycode = cv2.waitKey(0)
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@@ -80,29 +86,9 @@ def adjust_squares(
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if keycode == 27:
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break
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if keycode == 229:
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high_speed = not high_speed
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speed_mod = speed_mods[(speed_mods.index(speed_mod) + 1) % len(speed_mods)]
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continue
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_adjustment_step(keycode, high_speed)
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_adjustment_step(keycode, speed_mod)
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cv2.destroyWindow("Window")
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return adjustment
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def adjust_field(image: numpy.ndarray) -> Adjustment:
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"""Open configuration grid for the field"""
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return adjust_squares(image, 8, 13, Adjustment(42, 226, 15, 15, 119, 24))
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def adjust_bunker(image: numpy.ndarray) -> Adjustment:
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"""Open configuration grid for the bunker"""
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return adjust_squares(image, 3, 1)
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def adjust_hua(image: numpy.ndarray) -> Adjustment:
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"""Open configuration grid for the flower card"""
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return adjust_squares(image, 1, 1)
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def adjust_goal(image: numpy.ndarray) -> Adjustment:
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"""Open configuration grid for the goal"""
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return adjust_squares(image, 3, 1)
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@@ -236,41 +236,3 @@ def parse_start_board(image: np.ndarray, conf: Configuration) -> Board:
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result.bunker = [None] * 3
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result.goal = parse_goal(image, conf)
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return result
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def field_card_to_str(card: Card):
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if card == SpecialCard.Hua:
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return "Hua"
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if isinstance(card, SpecialCard):
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return {"Special": card.name}
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elif isinstance(card, NumberCard):
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return {"Number": {"value": card.number, "suit": card.suit.name}}
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def bunker_card_to_str(card: Union[Tuple[SpecialCard, int], Optional[Card]]):
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if card is None:
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return "Empty"
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if isinstance(card, tuple):
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return {"Blocked": card[0].name}
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return {"Stashed": field_card_to_str(card)}
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def goal_card_to_str(card: Optional[NumberCard]):
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if card is None:
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return None
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return {"value": card.number, "suit": card.suit.name}
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def parse_to_json(image: np.ndarray, conf: Configuration) -> str:
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field = parse_field(image, conf)
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flower_gone = parse_hua(image, conf)
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bunker = parse_bunker(image, conf)
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goal = parse_goal(image, conf)
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mystruct = {
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"field": [[field_card_to_str(card) for card in row] for row in field],
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"hua_set": flower_gone,
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"bunker": [bunker_card_to_str(card) for card in bunker],
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"goal": [goal_card_to_str(card) for card in goal],
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}
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return json.dumps(mystruct)
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@@ -32,7 +32,6 @@ def get_field_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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@@ -51,7 +50,7 @@ def catalogue_cards(squares: List[np.ndarray]) -> List[Tuple[np.ndarray, Card]]:
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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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cv2.waitKey(100)
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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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@@ -26,9 +26,7 @@ def prepare_image(image: np.array) -> np.array:
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def get_contour(image: np.array) -> np.array:
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gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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ret, edge_image = cv2.threshold(gray_image, 127, 255, cv2.THRESH_BINARY_INV)
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kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3, 3))
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edge_image = cv2.morphologyEx(edge_image, cv2.MORPH_CLOSE, kernel)
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ret, edge_image = cv2.threshold(gray_image, 140, 255, cv2.THRESH_BINARY_INV)
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border_image(edge_image, size=1)
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contours, hierarchy = cv2.findContours(
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edge_image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE
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@@ -123,7 +121,7 @@ def main() -> None:
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pc = configuration.load("test_config.zip")
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laptop = configuration.load("laptop_conf.zip")
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bla = [(i, t) for i, t in pc.catalogue if t == SpecialCard.Hua]
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bla = pc.catalogue
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# bla = pc.catalogue
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for pc_image, pc_card_type in bla:
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debug_match(pc_image, pc_card_type, laptop.catalogue)
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@@ -2,6 +2,7 @@ import argparse
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import copy
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import dataclasses
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import json
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import math
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import os
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import cv2
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@@ -48,28 +49,31 @@ def main() -> None:
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conf.field_adjustment = adjustment.adjust_squares(
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image, count_x=8, count_y=13, adjustment=copy.deepcopy(conf.field_adjustment)
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)
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print("Field borders")
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conf.border_adjustment = adjustment.adjust_squares(
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image, count_x=8, count_y=13, adjustment=copy.deepcopy(conf.field_adjustment)
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)
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for adj in (conf.bunker_adjustment, conf.goal_adjustment,conf.hua_adjustment):
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for adj in (
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conf.bunker_adjustment,
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conf.goal_adjustment,
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conf.hua_adjustment,
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conf.border_adjustment,
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):
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adj.w = conf.field_adjustment.w
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adj.h = conf.field_adjustment.h
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adj.dx = conf.field_adjustment.dx
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adj.dy = conf.field_adjustment.dy
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print("Field borders")
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conf.border_adjustment = adjustment.adjust_squares(
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image, count_x=8, count_y=13, adjustment=copy.deepcopy(conf.border_adjustment)
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)
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conf.bunker_adjustment.x = conf.field_adjustment.x
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print("Bunker cards")
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print("Bunker and goal cards")
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conf.bunker_adjustment = adjustment.adjust_squares(
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image, count_x=3, count_y=1, adjustment=copy.deepcopy(conf.bunker_adjustment)
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image, count_x=8, count_y=1, adjustment=copy.deepcopy(conf.bunker_adjustment)
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)
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conf.goal_adjustment = copy.deepcopy(conf.bunker_adjustment)
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conf.goal_adjustment.x = math.floor(
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conf.bunker_adjustment.x + conf.bunker_adjustment.dx * 5
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)
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conf.goal_adjustment.x = conf.field_adjustment.x + 5 * conf.field_adjustment.dx
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conf.goal_adjustment.y = conf.bunker_adjustment.y
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print("Goal cards")
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conf.goal_adjustment = adjustment.adjust_squares(
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image, count_x=3, count_y=1, adjustment=copy.deepcopy(conf.goal_adjustment)
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)
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conf.hua_adjustment.y = conf.bunker_adjustment.y
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print("Hua card")
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conf.hua_adjustment = adjustment.adjust_squares(
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@@ -77,7 +81,10 @@ def main() -> None:
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)
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print("Special button")
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conf.special_button_adjustment = adjustment.adjust_squares(
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image, count_x=1, count_y=3, adjustment=copy.deepcopy(conf.special_button_adjustment)
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image,
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count_x=1,
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count_y=3,
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adjustment=copy.deepcopy(conf.special_button_adjustment),
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)
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configuration.save(conf, args.config)
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@@ -1,9 +1,12 @@
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import argparse
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import copy
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import math
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import cv2
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import numpy as np
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import copy
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from shenzhen_solitaire.card_detection import configuration, adjustment, card_finder
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from shenzhen_solitaire.card_detection import (adjustment, card_finder,
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configuration)
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from shenzhen_solitaire.card_detection.configuration import Configuration
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@@ -41,7 +44,7 @@ def main() -> None:
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)
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empty_adjust = copy.deepcopy(conf.border_adjustment)
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empty_adjust.y = empty_adjust.y + 4 * empty_adjust.dy
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empty_adjust.y = math.floor(empty_adjust.y + 4 * empty_adjust.dy)
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conf.empty_card.extend(card_finder.get_field_squares(image, empty_adjust, 1, 1))
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conf.green_card.extend(
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@@ -4,7 +4,7 @@ import sys
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import cv2
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import shenzhen_solitaire.card_detection.configuration as configuration
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from shenzhen_solitaire.card_detection.board_parser import parse_to_json
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from shenzhen_solitaire.card_detection.board_parser import parse_board, parse_start_board
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def main() -> None:
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@@ -13,13 +13,17 @@ def main() -> None:
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parser.add_argument(
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"--config", dest="config_path", type=str, help="Config path",
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)
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parser.add_argument("--simple", action="store_true", help="Parse a start board, use when config is not complete")
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args = parser.parse_args()
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image = cv2.imread(args.board_path)
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conf = configuration.load("test_config.zip")
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conf = configuration.load(args.config_path)
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print(parse_to_json(image, conf))
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if args.simple:
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print(parse_start_board(image, conf).to_json())
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else:
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print(parse_board(image, conf).to_json())
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if __name__ == "__main__":
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