Refactoring

This commit is contained in:
Lukas Wölfer
2020-07-05 13:42:14 +02:00
parent 1f086a515c
commit a9ca38e812
8 changed files with 59 additions and 100 deletions

BIN
16_10_conf.zip Normal file

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@@ -6,6 +6,7 @@ from typing import Optional, Tuple
import cv2
import numpy
import math
@dataclass
@@ -16,8 +17,8 @@ class Adjustment:
y: int = 0
w: int = 0
h: int = 0
dx: int = 0
dy: int = 0
dx: float = 0
dy: float = 0
def get_square(
@@ -25,10 +26,10 @@ def get_square(
) -> 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,
math.floor(adjustment.x + adjustment.dx * index_x),
math.floor(adjustment.y + adjustment.dy * index_y),
math.floor(adjustment.x + adjustment.w + adjustment.dx * index_x),
math.floor(adjustment.y + adjustment.h + adjustment.dy * index_y),
)
@@ -41,9 +42,10 @@ def adjust_squares(
if not adjustment:
adjustment = Adjustment(w=10, h=10)
high_speed = False
speed_mod = "n"
speed_mods = ["n", "s", "h"]
def _adjustment_step(keycode: int, high_speed: bool) -> None:
def _adjustment_step(keycode: int, speed_mod: str) -> None:
assert adjustment is not None
x_keys = {104: -1, 115: +1}
y_keys = {116: -1, 110: +1}
@@ -51,8 +53,8 @@ def adjust_squares(
h_keys = {111: -1, 101: +1}
dx_keys = {59: -1, 112: +1}
dy_keys = {44: -1, 46: +1}
high_speed_fac = 10
cur_high_speed_fac = high_speed_fac if high_speed else 1
speed_facs = {"n": 1, "s": 8, "h": 64}
cur_high_speed_fac = speed_facs[speed_mod]
if keycode in x_keys:
adjustment.x += x_keys[keycode] * cur_high_speed_fac
elif keycode in y_keys:
@@ -62,9 +64,10 @@ def adjust_squares(
elif keycode in h_keys:
adjustment.h += h_keys[keycode] * cur_high_speed_fac
elif keycode in dx_keys:
adjustment.dx += dx_keys[keycode] * cur_high_speed_fac
adjustment.dx += dx_keys[keycode] * cur_high_speed_fac * 1 / 8
elif keycode in dy_keys:
adjustment.dy += dy_keys[keycode] * cur_high_speed_fac
adjustment.dy += dy_keys[keycode] * cur_high_speed_fac * 1 / 8
cv2.namedWindow("Window", flags=cv2.WINDOW_NORMAL)
while True:
@@ -72,7 +75,10 @@ def adjust_squares(
for index_x, index_y in itertools.product(range(count_x), 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)
working_image,
(math.floor(square[0]), math.floor(square[1])),
(math.floor(square[2]), math.floor(square[3])),
(0, 0, 0),
)
cv2.imshow("Window", working_image)
keycode = cv2.waitKey(0)
@@ -80,29 +86,9 @@ def adjust_squares(
if keycode == 27:
break
if keycode == 229:
high_speed = not high_speed
speed_mod = speed_mods[(speed_mods.index(speed_mod) + 1) % len(speed_mods)]
continue
_adjustment_step(keycode, high_speed)
_adjustment_step(keycode, speed_mod)
cv2.destroyWindow("Window")
return adjustment
def adjust_field(image: numpy.ndarray) -> Adjustment:
"""Open configuration grid for the field"""
return adjust_squares(image, 8, 13, 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)

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@@ -236,41 +236,3 @@ def parse_start_board(image: np.ndarray, conf: Configuration) -> Board:
result.bunker = [None] * 3
result.goal = parse_goal(image, conf)
return result
def field_card_to_str(card: Card):
if card == SpecialCard.Hua:
return "Hua"
if isinstance(card, SpecialCard):
return {"Special": card.name}
elif isinstance(card, NumberCard):
return {"Number": {"value": card.number, "suit": card.suit.name}}
def bunker_card_to_str(card: Union[Tuple[SpecialCard, int], Optional[Card]]):
if card is None:
return "Empty"
if isinstance(card, tuple):
return {"Blocked": card[0].name}
return {"Stashed": field_card_to_str(card)}
def goal_card_to_str(card: Optional[NumberCard]):
if card is None:
return None
return {"value": card.number, "suit": card.suit.name}
def parse_to_json(image: np.ndarray, conf: Configuration) -> str:
field = parse_field(image, conf)
flower_gone = parse_hua(image, conf)
bunker = parse_bunker(image, conf)
goal = parse_goal(image, conf)
mystruct = {
"field": [[field_card_to_str(card) for card in row] for row in field],
"hua_set": flower_gone,
"bunker": [bunker_card_to_str(card) for card in bunker],
"goal": [goal_card_to_str(card) for card in goal],
}
return json.dumps(mystruct)

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@@ -32,7 +32,6 @@ def get_field_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")
@@ -51,7 +50,7 @@ def catalogue_cards(squares: List[np.ndarray]) -> List[Tuple[np.ndarray, Card]]:
for square in squares:
while True:
cv2.imshow("Catalogue", cv2.resize(square, (500, 500)))
cv2.waitKey(1)
cv2.waitKey(100)
card_id = input("Card ID:").lower()
card_type: Optional[Card] = None
if len(card_id) == 1:

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@@ -26,9 +26,7 @@ def prepare_image(image: np.array) -> np.array:
def get_contour(image: np.array) -> np.array:
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
ret, edge_image = cv2.threshold(gray_image, 127, 255, cv2.THRESH_BINARY_INV)
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3, 3))
edge_image = cv2.morphologyEx(edge_image, cv2.MORPH_CLOSE, kernel)
ret, edge_image = cv2.threshold(gray_image, 140, 255, cv2.THRESH_BINARY_INV)
border_image(edge_image, size=1)
contours, hierarchy = cv2.findContours(
edge_image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE
@@ -123,7 +121,7 @@ def main() -> None:
pc = configuration.load("test_config.zip")
laptop = configuration.load("laptop_conf.zip")
bla = [(i, t) for i, t in pc.catalogue if t == SpecialCard.Hua]
bla = pc.catalogue
# bla = pc.catalogue
for pc_image, pc_card_type in bla:
debug_match(pc_image, pc_card_type, laptop.catalogue)

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@@ -2,6 +2,7 @@ import argparse
import copy
import dataclasses
import json
import math
import os
import cv2
@@ -48,28 +49,31 @@ def main() -> None:
conf.field_adjustment = adjustment.adjust_squares(
image, count_x=8, count_y=13, adjustment=copy.deepcopy(conf.field_adjustment)
)
print("Field borders")
conf.border_adjustment = adjustment.adjust_squares(
image, count_x=8, count_y=13, adjustment=copy.deepcopy(conf.field_adjustment)
)
for adj in (conf.bunker_adjustment, conf.goal_adjustment,conf.hua_adjustment):
for adj in (
conf.bunker_adjustment,
conf.goal_adjustment,
conf.hua_adjustment,
conf.border_adjustment,
):
adj.w = conf.field_adjustment.w
adj.h = conf.field_adjustment.h
adj.dx = conf.field_adjustment.dx
adj.dy = conf.field_adjustment.dy
print("Field borders")
conf.border_adjustment = adjustment.adjust_squares(
image, count_x=8, count_y=13, adjustment=copy.deepcopy(conf.border_adjustment)
)
conf.bunker_adjustment.x = conf.field_adjustment.x
print("Bunker cards")
print("Bunker and goal cards")
conf.bunker_adjustment = adjustment.adjust_squares(
image, count_x=3, count_y=1, adjustment=copy.deepcopy(conf.bunker_adjustment)
image, count_x=8, count_y=1, adjustment=copy.deepcopy(conf.bunker_adjustment)
)
conf.goal_adjustment = copy.deepcopy(conf.bunker_adjustment)
conf.goal_adjustment.x = math.floor(
conf.bunker_adjustment.x + conf.bunker_adjustment.dx * 5
)
conf.goal_adjustment.x = conf.field_adjustment.x + 5 * conf.field_adjustment.dx
conf.goal_adjustment.y = conf.bunker_adjustment.y
print("Goal cards")
conf.goal_adjustment = adjustment.adjust_squares(
image, count_x=3, count_y=1, adjustment=copy.deepcopy(conf.goal_adjustment)
)
conf.hua_adjustment.y = conf.bunker_adjustment.y
print("Hua card")
conf.hua_adjustment = adjustment.adjust_squares(
@@ -77,7 +81,10 @@ def main() -> None:
)
print("Special button")
conf.special_button_adjustment = adjustment.adjust_squares(
image, count_x=1, count_y=3, adjustment=copy.deepcopy(conf.special_button_adjustment)
image,
count_x=1,
count_y=3,
adjustment=copy.deepcopy(conf.special_button_adjustment),
)
configuration.save(conf, args.config)

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@@ -1,9 +1,12 @@
import argparse
import copy
import math
import cv2
import numpy as np
import copy
from shenzhen_solitaire.card_detection import configuration, adjustment, card_finder
from shenzhen_solitaire.card_detection import (adjustment, card_finder,
configuration)
from shenzhen_solitaire.card_detection.configuration import Configuration
@@ -41,7 +44,7 @@ def main() -> None:
)
empty_adjust = copy.deepcopy(conf.border_adjustment)
empty_adjust.y = empty_adjust.y + 4 * empty_adjust.dy
empty_adjust.y = math.floor(empty_adjust.y + 4 * empty_adjust.dy)
conf.empty_card.extend(card_finder.get_field_squares(image, empty_adjust, 1, 1))
conf.green_card.extend(

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@@ -4,7 +4,7 @@ import sys
import cv2
import shenzhen_solitaire.card_detection.configuration as configuration
from shenzhen_solitaire.card_detection.board_parser import parse_to_json
from shenzhen_solitaire.card_detection.board_parser import parse_board, parse_start_board
def main() -> None:
@@ -13,13 +13,17 @@ def main() -> None:
parser.add_argument(
"--config", dest="config_path", type=str, help="Config path",
)
parser.add_argument("--simple", action="store_true", help="Parse a start board, use when config is not complete")
args = parser.parse_args()
image = cv2.imread(args.board_path)
conf = configuration.load("test_config.zip")
conf = configuration.load(args.config_path)
print(parse_to_json(image, conf))
if args.simple:
print(parse_start_board(image, conf).to_json())
else:
print(parse_board(image, conf).to_json())
if __name__ == "__main__":