105 lines
3.0 KiB
Python
105 lines
3.0 KiB
Python
"""Contains functions to find significant pieces of a solitaire screenshot"""
|
|
|
|
from typing import Optional, Tuple
|
|
from dataclasses import dataclass
|
|
import numpy # type: ignore
|
|
import cv2 # type: ignore
|
|
|
|
|
|
@dataclass
|
|
class Adjustment:
|
|
"""Configuration for a grid"""
|
|
x: int
|
|
y: int
|
|
w: int
|
|
h: int
|
|
dx: int
|
|
dy: int
|
|
|
|
|
|
def get_square(adjustment: Adjustment, index_x: int = 0,
|
|
index_y: int = 0) -> Tuple[int, int, int, int]:
|
|
"""Get one square from index and adjustment"""
|
|
return (adjustment.x + adjustment.dx * index_x,
|
|
adjustment.y + adjustment.dy * index_y,
|
|
adjustment.x + adjustment.w + adjustment.dx * index_x,
|
|
adjustment.y + adjustment.h + adjustment.dy * index_y)
|
|
|
|
|
|
def _adjust_squares(
|
|
image: numpy.ndarray,
|
|
count_x: int,
|
|
count_y: int,
|
|
adjustment: Optional[Adjustment] = None) -> Adjustment:
|
|
if not adjustment:
|
|
adjustment = Adjustment(0, 0, 0, 0, 0, 0)
|
|
while True:
|
|
working_image = image.copy()
|
|
for index_x in range(count_x):
|
|
for index_y in range(count_y):
|
|
square = get_square(adjustment, index_x, index_y)
|
|
cv2.rectangle(working_image,
|
|
(square[0], square[1]),
|
|
(square[2], square[3]),
|
|
(0, 0, 0))
|
|
cv2.imshow('Window', working_image)
|
|
k = cv2.waitKey(0)
|
|
print(k)
|
|
if k == 27:
|
|
break
|
|
elif k == 81:
|
|
adjustment.x -= 1
|
|
elif k == 83:
|
|
adjustment.x += 1
|
|
elif k == 82:
|
|
adjustment.y -= 1
|
|
elif k == 84:
|
|
adjustment.y += 1
|
|
elif k == 104:
|
|
adjustment.x -= 10
|
|
elif k == 115:
|
|
adjustment.x += 10
|
|
elif k == 116:
|
|
adjustment.y -= 10
|
|
elif k == 110:
|
|
adjustment.y += 10
|
|
elif k == 97:
|
|
adjustment.w -= 1
|
|
elif k == 111:
|
|
adjustment.h -= 1
|
|
elif k == 101:
|
|
adjustment.h += 1
|
|
elif k == 117:
|
|
adjustment.w += 1
|
|
elif k == 59:
|
|
adjustment.dx -= 1
|
|
elif k == 44:
|
|
adjustment.dy -= 1
|
|
elif k == 46:
|
|
adjustment.dy += 1
|
|
elif k == 112:
|
|
adjustment.dx += 1
|
|
|
|
cv2.destroyWindow('Window')
|
|
return adjustment
|
|
|
|
|
|
def adjust_field(image: numpy.ndarray) -> Adjustment:
|
|
"""Open configuration grid for the field"""
|
|
return _adjust_squares(image, 8, 5, Adjustment(42, 226, 15, 15, 119, 24))
|
|
|
|
|
|
def adjust_bunker(image: numpy.ndarray) -> Adjustment:
|
|
"""Open configuration grid for the bunker"""
|
|
return _adjust_squares(image, 3, 1)
|
|
|
|
|
|
def adjust_hua(image: numpy.ndarray) -> Adjustment:
|
|
"""Open configuration grid for the flower card"""
|
|
return _adjust_squares(image, 1, 1)
|
|
|
|
|
|
def adjust_goal(image: numpy.ndarray) -> Adjustment:
|
|
"""Open configuration grid for the goal"""
|
|
return _adjust_squares(image, 3, 1)
|