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utils.py
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utils.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
import logging
import os
import sys
from logging.handlers import RotatingFileHandler
import cv2
import pyautogui
class NotFoundItem(Exception):
pass
def get_logger(name=__file__, file='log.txt', encoding='utf-8', dir_name='logs'):
if dir_name:
if not os.path.exists(dir_name):
os.makedirs(dir_name)
file = dir_name + '/' + file
log = logging.getLogger(name)
log.setLevel(logging.DEBUG)
formatter = logging.Formatter('[%(asctime)s] %(filename)s:%(lineno)d\t%(levelname)-8s %(message)s')
# Simple file handler
# fh = logging.FileHandler(file, encoding=encoding)
# or:
fh = RotatingFileHandler(file, maxBytes=10_000_000, backupCount=5, encoding=encoding)
fh.setFormatter(formatter)
log.addHandler(fh)
sh = logging.StreamHandler(stream=sys.stdout)
sh.setFormatter(formatter)
log.addHandler(sh)
return log
log = get_logger()
def crop_by_contour(img, contour):
rect = cv2.boundingRect(contour)
x, y, h, w = rect
return img[y:y + h, x:x + w]
def get_game_board(img__or__file_name):
if isinstance(img__or__file_name, str):
img = cv2.imread(img__or__file_name)
else:
img = img__or__file_name
# cv2.imshow('img', img)
edges = cv2.Canny(img, 100, 200)
# cv2.imshow('edges_img', edges)
ret, thresh = cv2.threshold(edges, 200, 255, cv2.THRESH_BINARY)
image, contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# cv2.imshow('image_', image)
# cv2.drawContours(img, contours, -1, (0, 255, 0), 3)
# cv2.imshow('img_with_contour', img)
#
# cv2.waitKey()
# cv2.destroyAllWindows()
if not contours:
raise NotFoundItem('Не получилсоь найти контуры')
log.info(
'Всего контуров %s, поиск контура игрового поля: %s',
len(contours), [cv2.contourArea(i) for i in contours if cv2.contourArea(i) > 10000]
)
contours = [i for i in contours if 249000 < cv2.contourArea(i) < 255000]
if not contours:
raise NotFoundItem('Не получилось найти контур поля игры')
# img_with_contour = img.copy()
# cv2.drawContours(img_with_contour, contours, -1, (0, 255, 0), 3)
# cv2.imshow('img_with_contour', img_with_contour)
crop_img = crop_by_contour(img, contours[-1])
# cv2.imshow("cropped", crop_img)
#
# cv2.waitKey()
# cv2.destroyAllWindows()
return crop_img
def get_cell_point_by_contour(board_img):
# cv2.imshow("board_img", board_img)
temp_board_img = board_img.copy()
h, w, _ = temp_board_img.shape
indent = 15
size_cell = 122
for i in range(5):
cv2.rectangle(temp_board_img, (0, size_cell * i), (w, size_cell * i + indent), 0, cv2.FILLED)
cv2.rectangle(temp_board_img, (size_cell * i, 0), (size_cell * i + indent, h), 0, cv2.FILLED)
# cv2.imshow("temp_board_img", temp_board_img)
gray_img = cv2.cvtColor(temp_board_img, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray_img, 50, 255, cv2.THRESH_BINARY)
gray_img_contours, cell_contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# cv2.imshow("gray_img_contours", gray_img_contours)
log.info('Контуров (%s): %s', len(cell_contours), [cv2.contourArea(i) for i in cell_contours])
cell_contours = [i for i in cell_contours if cv2.contourArea(i) > 10000]
log.info('Контуров ячеек: %s', len(cell_contours))
if len(cell_contours) != 16:
raise NotFoundItem('Нужно ровно 16 контуров ячеек')
# img_with_contour = board_img.copy()
# cv2.drawContours(img_with_contour, cell_contours, -1, (0, 255, 0), 3)
# cv2.imshow('img_with_contour_' + str(hex(id(board_img))), img_with_contour)
# cv2.waitKey()
# cv2.destroyAllWindows()
sort_x = sorted([cv2.boundingRect(x)[0] for x in cell_contours])
mean_of_points = [
sum(sort_x[0:4]) // 4,
sum(sort_x[4:8]) // 4,
sum(sort_x[8:12]) // 4,
sum(sort_x[12:16]) // 4,
]
# print(mean_of_points)
MEAN_EPS = 5
# print(sorted([cv2.boundingRect(x)[1] for x in cell_contours]))
point_by_contour = dict()
for contour in cell_contours:
x, y, _, _ = cv2.boundingRect(contour)
# print(x, y)
for mean_point in mean_of_points:
# Максимальное отклонение от средней позиции
if abs(x - mean_point) <= MEAN_EPS:
x = mean_point
if abs(y - mean_point) <= MEAN_EPS:
y = mean_point
point_by_contour[(x, y)] = contour
# cell_contours.sort(key=lambda x: (cv2.boundingRect(x)[1], cv2.boundingRect(x)[0]))
# print([(cv2.boundingRect(contour)[0], cv2.boundingRect(contour)[1]) for contour in cell_contours])
return point_by_contour
def show_cell_on_board(board_img, point_by_contour):
image = board_img.copy()
row = 0
col = 0
value_matrix = [
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
]
i = 1
cell_contours = list(point_by_contour.values())
# for contour in cell_contours:
for pos, contour in sorted(point_by_contour.items(), key=lambda x: (x[0][1], x[0][0])):
rect_cell = cv2.boundingRect(contour)
x, y, w, h = rect_cell
# x, y = pos
cell_img = crop_by_contour(board_img, contour)
main_color = get_main_color_bgr(cell_img)
text_row_col = '{}x{}'.format(row, col)
text_pos = '{}x{}'.format(x, y)
print(text_row_col)
print(' ', text_pos)
cv2.putText(image, str(i), (x, y + h // 4), cv2.FONT_HERSHEY_PLAIN, 2, (0, 0, 0))
cv2.putText(image, text_pos, (x + w // 3, y + h // 7), cv2.FONT_HERSHEY_PLAIN, 0.8, (0, 0, 0))
cv2.putText(image, text_row_col, (x + w // 8, y + int(h // 1.2)), cv2.FONT_HERSHEY_PLAIN, 1, (0, 0, 0))
value_cell = get_value_by_color(main_color)
print(' value:', value_cell)
value_matrix[row][col] = value_cell
if value_cell is not None:
cv2.putText(image, str(value_cell), (x + w - 35, y + int(h // 1.2)), cv2.FONT_HERSHEY_PLAIN, 1.1,
(100, 100, 0))
else:
file_name = 'unknown_{}.png'.format('-'.join(map(str, main_color)))
print(' NOT FOUND COLOR:', main_color, file_name)
make_screenshot()
cv2.imwrite(file_name, cell_img)
col += 1
if col == 4:
col = 0
row += 1
i += 1
print(value_matrix)
cv2.drawContours(image, cell_contours, -1, (0, 255, 0), 3)
cv2.imshow("img_with_contour_cell_contours_" + str(hex(id(image))), image)
def get_value_matrix_from_board(board_img):
point_by_contour = get_cell_point_by_contour(board_img)
# show_cell_on_board(board_img, point_by_contour)
row = 0
col = 0
value_matrix = [
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
]
# for contour in cell_contours:
for pos, contour in sorted(point_by_contour.items(), key=lambda x: (x[0][1], x[0][0])):
cell_img = crop_by_contour(board_img, contour)
main_color = get_main_color_bgr(cell_img)
value_cell = get_value_by_color(main_color)
log.debug(' value: %s', value_cell)
value_matrix[row][col] = value_cell
if value_cell is None:
file_name = 'unknown_{}.png'.format('-'.join(map(str, main_color)))
cv2.imwrite(file_name, cell_img)
make_screenshot()
raise NotFoundItem('NOT FOUND COLOR: {}, save in {}. Need update color in {}'.format(
main_color, file_name, COLOR_BGR_BY_NUMBER
))
col += 1
if col == 4:
col = 0
row += 1
log.debug('value_matrix: %s', value_matrix)
return value_matrix
COLOR_BGR_BY_NUMBER = {
(180, 192, 204): 0, # None
(217, 227, 237): 2,
(199, 223, 235): 4,
(122, 176, 241): 8,
(98, 148, 244): 16,
(94, 123, 244): 32,
(59, 93, 246): 64,
(115, 207, 236): 128,
(98, 203, 236): 256,
(82, 199, 236): 512,
(65, 196, 235): 1024,
(50, 193, 236): 2048,
(50, 57, 60): 4096,
}
def get_value_by_color(color, deviation=5):
def _generate_seq(value, deviation):
"""
value = 5, deviation = 1 -> [4, 5, 6]
value = 5, deviation = 2 -> [3, 4, 5, 6, 7]
"""
left = list(range(value, value - deviation - 1, -1))
right = list((range(value + 1, value + deviation + 1)))
return list(sorted(left + right))
for bgr_color, value in COLOR_BGR_BY_NUMBER.items():
b1, g1, r1 = bgr_color
b2, g2, r2 = color
if b2 in _generate_seq(b1, deviation) \
and g2 in _generate_seq(g1, deviation) \
and r2 in _generate_seq(r1, deviation):
return value
return None
def get_main_color_bgr(image):
img_points = []
h, w = image.shape[:2]
for i in range(h):
for j in range(w):
img_points.append(tuple(image[i, j]))
from collections import Counter
items = sorted(Counter(img_points).items(), reverse=True, key=lambda x: x[1])
log.debug('Top 3 color: %s', items[:3])
return items[0][0]
def get_button_coords_list(full_img):
board = get_game_board(full_img)
board_coords = pyautogui.locate(board, full_img, grayscale=True)
gray = cv2.cvtColor(board, cv2.COLOR_BGR2GRAY)
# cv2.imshow(str(gray), gray)
ret, thresh = cv2.threshold(gray, 130, 255, cv2.THRESH_BINARY)
# cv2.imshow(str(thresh), thresh)
img_contours, contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
log.debug('contours(%s): %s', len(contours), [cv2.contourArea(i) for i in contours])
contours = [i for i in contours if cv2.contourArea(i) > 6000 and cv2.contourArea(i) < 7000]
log.debug('filtered contours(%s): %s', len(contours), [cv2.contourArea(i) for i in contours])
# img_with_contour = board.copy()
# cv2.drawContours(img_with_contour, contours, -1, (0, 255, 0), 3)
# cv2_show(img_with_contour)
#
# rect_contours = sorted([cv2.boundingRect(i) for i in contours], key=lambda x: x[0])
# print(rect_contours)
# Sort by X
sorted_contours = sorted(contours, key=lambda x: cv2.boundingRect(x)[0])
# print(sorted_contours)
#
# img_with_contour = board.copy()
# cv2.drawContours(img_with_contour, sorted_contours, -1, (0, 255, 0), 3)
# cv2_show(img_with_contour)
button_coords_list = []
for contour in sorted_contours:
x, y, w, h = cv2.boundingRect(contour)
coords = (board_coords[0] + x, board_coords[1] + y, w, h)
button_coords_list.append(coords)
# # Find and draw need button
# button_coords = cv2.boundingRect(sorted_contours[0])
# print(button_coords)
#
# abs_button_coords = (board_coords[0] + button_coords[0], board_coords[1] + button_coords[1], button_coords[2], button_coords[3])
# print('abs_button_coords:', abs_button_coords, pyautogui.center(abs_button_coords))
# # x, y, w, h = abs_button_coords
return button_coords_list
def get_next_move(value_matrix):
# SOURCE: https://github.com/eshirazi/2048-bot
from eshirazi_2048_bot.board import Board
from eshirazi_2048_bot.board_score_heuristics import perfect_heuristic
from eshirazi_2048_bot.board_score_strategy import ExpectimaxStrategy
strategy = ExpectimaxStrategy(perfect_heuristic)
board = Board(value_matrix)
log.debug('board:\n%s', board)
return str(strategy.get_next_move(board))
def locate_center_on_screen(needle_image, screenshot_image=None):
if screenshot_image:
rect = pyautogui.locate(needle_image, screenshot_image)
if rect:
return pyautogui.center(rect)
return pyautogui.locateCenterOnScreen(needle_image)
def make_screenshot(prefix='', dir_name='screenshots'):
from datetime import datetime
file_name = datetime.now().strftime(prefix + '%d%m%y %H%M%S.jpg')
if dir_name:
import os
if not os.path.exists(dir_name):
os.makedirs(dir_name)
file_name = dir_name + '/' + file_name
log.info('Сохранение скриншота в ' + file_name)
pil_image = pyautogui.screenshot()
pil_image.save(file_name)
return pil_image