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# -*- coding: utf-8 -*-
# Created by: Raf
import os
import sys
import time
import threading
import pyautogui
from PyQt5 import QtGui, QtWidgets, QtCore
from PyQt5.QtWidgets import QGraphicsView, QGraphicsScene, QGraphicsItem, QGraphicsPixmapItem, QInputDialog, QMessageBox
from PyQt5.QtGui import QPixmap, QIcon
from PyQt5.QtCore import QTime, QEventLoop
from MainWindowUI import Ui_Form
from douzero.env.game import GameEnv
from douzero.evaluation.deep_agent import DeepAgent
EnvCard2RealCard = {3: '3', 4: '4', 5: '5', 6: '6', 7: '7',
8: '8', 9: '9', 10: 'T', 11: 'J', 12: 'Q',
13: 'K', 14: 'A', 17: '2', 20: 'X', 30: 'D'}
RealCard2EnvCard = {'3': 3, '4': 4, '5': 5, '6': 6, '7': 7,
'8': 8, '9': 9, 'T': 10, 'J': 11, 'Q': 12,
'K': 13, 'A': 14, '2': 17, 'X': 20, 'D': 30}
AllEnvCard = [3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7,
8, 8, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 11, 11, 11, 11, 12,
12, 12, 12, 13, 13, 13, 13, 14, 14, 14, 14, 17, 17, 17, 17, 20, 30]
AllCards = ['rD', 'bX', 'b2', 'r2', 'bA', 'rA', 'bK', 'rK', 'bQ', 'rQ', 'bJ', 'rJ', 'bT', 'rT',
'b9', 'r9', 'b8', 'r8', 'b7', 'r7', 'b6', 'r6', 'b5', 'r5', 'b4', 'r4', 'b3', 'r3']
class MyPyQT_Form(QtWidgets.QWidget, Ui_Form):
def __init__(self):
super(MyPyQT_Form, self).__init__()
self.setupUi(self)
self.setWindowFlags(QtCore.Qt.WindowMinimizeButtonHint | # 使能最小化按钮
QtCore.Qt.WindowCloseButtonHint | # 使能关闭按钮
QtCore.Qt.WindowStaysOnTopHint) # 窗体总在最前端
self.setFixedSize(self.width(), self.height()) # 固定窗体大小
self.setWindowIcon(QIcon('pics/favicon.ico'))
window_pale = QtGui.QPalette()
window_pale.setBrush(self.backgroundRole(), QtGui.QBrush(QtGui.QPixmap("pics/bg.png")))
self.setPalette(window_pale)
self.Players = [self.RPlayer, self.Player, self.LPlayer]
self.counter = QTime()
# 参数
self.MyConfidence = 0.95 # 我的牌的置信度
self.OtherConfidence = 0.9 # 别人的牌的置信度
self.WhiteConfidence = 0.9 # 检测白块的置信度
self.LandlordFlagConfidence = 0.9 # # 检测地主标志的置信度
self.ThreeLandlordCardsConfidence = 0.9 # 检测地主底牌的置信度
self.WaitTime = 1 # 等待状态稳定延时
self.MyFilter = 40 # 我的牌检测结果过滤参数
self.OtherFilter = 25 # 别人的牌检测结果过滤参数
self.SleepTime = 0.1 # 循环中睡眠时间
# 坐标
self.MyHandCardsPos = (414, 804, 1041, 59) # 我的截图区域
self.LPlayedCardsPos = (530, 470, 380, 160) # 左边截图区域
self.RPlayedCardsPos = (1010, 470, 380, 160) # 右边截图区域
self.LandlordFlagPos = [(1320, 300, 110, 140), (320, 720, 110, 140), (500, 300, 110, 140)] # 地主标志截图区域(右-我-左)
self.ThreeLandlordCardsPos = (817, 36, 287, 136) # 地主底牌截图区域,resize成349x168
# 信号量
self.shouldExit = 0 # 通知上一轮记牌结束
self.canRecord = threading.Lock() # 开始记牌
# 模型路径
self.card_play_model_path_dict = {
'landlord': "baselines/douzero_WP/landlord.ckpt",
'landlord_up': "baselines/douzero_WP/landlord_up.ckpt",
'landlord_down': "baselines/douzero_WP/landlord_down.ckpt"
}
def init_display(self):
self.WinRate.setText("胜率:--%")
self.InitCard.setText("开始")
self.UserHandCards.setText("手牌")
self.LPlayedCard.setText("上家出牌区域")
self.RPlayedCard.setText("下家出牌区域")
self.PredictedCard.setText("AI出牌区域")
self.ThreeLandlordCards.setText("三张底牌")
for player in self.Players:
player.setStyleSheet('background-color: rgba(255, 0, 0, 0);')
def init_cards(self):
# 玩家手牌
self.user_hand_cards_real = ""
self.user_hand_cards_env = []
# 其他玩家出牌
self.other_played_cards_real = ""
self.other_played_cards_env = []
# 其他玩家手牌(整副牌减去玩家手牌,后续再减掉历史出牌)
self.other_hand_cards = []
# 三张底牌
self.three_landlord_cards_real = ""
self.three_landlord_cards_env = []
# 玩家角色代码:0-地主上家, 1-地主, 2-地主下家
self.user_position_code = None
self.user_position = ""
# 开局时三个玩家的手牌
self.card_play_data_list = {}
# 出牌顺序:0-玩家出牌, 1-玩家下家出牌, 2-玩家上家出牌
self.play_order = 0
self.env = None
# 识别玩家手牌
self.user_hand_cards_real = self.find_my_cards(self.MyHandCardsPos)
self.UserHandCards.setText(self.user_hand_cards_real)
self.user_hand_cards_env = [RealCard2EnvCard[c] for c in list(self.user_hand_cards_real)]
# 识别三张底牌
self.three_landlord_cards_real = self.find_three_landlord_cards(self.ThreeLandlordCardsPos)
self.ThreeLandlordCards.setText("底牌:" + self.three_landlord_cards_real)
self.three_landlord_cards_env = [RealCard2EnvCard[c] for c in list(self.three_landlord_cards_real)]
# 识别玩家的角色
self.user_position_code = self.find_landlord(self.LandlordFlagPos)
if self.user_position_code is None:
items = ("地主上家", "地主", "地主下家")
item, okPressed = QInputDialog.getItem(self, "选择角色", "未识别到地主,请手动选择角色:", items, 0, False)
if okPressed and item:
self.user_position_code = items.index(item)
else:
return
self.user_position = ['landlord_up', 'landlord', 'landlord_down'][self.user_position_code]
for player in self.Players:
player.setStyleSheet('background-color: rgba(255, 0, 0, 0);')
self.Players[self.user_position_code].setStyleSheet('background-color: rgba(255, 0, 0, 0.1);')
# 整副牌减去玩家手上的牌,就是其他人的手牌,再分配给另外两个角色(如何分配对AI判断没有影响)
for i in set(AllEnvCard):
self.other_hand_cards.extend([i] * (AllEnvCard.count(i) - self.user_hand_cards_env.count(i)))
self.card_play_data_list.update({
'three_landlord_cards': self.three_landlord_cards_env,
['landlord_up', 'landlord', 'landlord_down'][(self.user_position_code + 0) % 3]:
self.user_hand_cards_env,
['landlord_up', 'landlord', 'landlord_down'][(self.user_position_code + 1) % 3]:
self.other_hand_cards[0:17] if (self.user_position_code + 1) % 3 != 1 else self.other_hand_cards[17:],
['landlord_up', 'landlord', 'landlord_down'][(self.user_position_code + 2) % 3]:
self.other_hand_cards[0:17] if (self.user_position_code + 1) % 3 == 1 else self.other_hand_cards[17:]
})
print(self.card_play_data_list)
# 生成手牌结束,校验手牌数量
if len(self.card_play_data_list["three_landlord_cards"]) != 3:
QMessageBox.critical(self, "底牌识别出错", "底牌必须是3张!", QMessageBox.Yes, QMessageBox.Yes)
self.init_display()
return
if len(self.card_play_data_list["landlord_up"]) != 17 or \
len(self.card_play_data_list["landlord_down"]) != 17 or \
len(self.card_play_data_list["landlord"]) != 20:
QMessageBox.critical(self, "手牌识别出错", "初始手牌数目有误", QMessageBox.Yes, QMessageBox.Yes)
self.init_display()
return
# 得到出牌顺序
self.play_order = 0 if self.user_position == "landlord" else 1 if self.user_position == "landlord_up" else 2
# 创建一个代表玩家的AI
ai_players = [0, 0]
ai_players[0] = self.user_position
ai_players[1] = DeepAgent(self.user_position, self.card_play_model_path_dict[self.user_position])
self.env = GameEnv(ai_players)
self.start()
def start(self):
self.env.card_play_init(self.card_play_data_list)
print("开始出牌\n")
while not self.env.game_over:
# 玩家出牌时就通过智能体获取action,否则通过识别获取其他玩家出牌
if self.play_order == 0:
self.PredictedCard.setText("...")
action_message = self.env.step(self.user_position)
# 更新界面
self.UserHandCards.setText("手牌:" + str(''.join(
[EnvCard2RealCard[c] for c in self.env.info_sets[self.user_position].player_hand_cards]))[::-1])
self.PredictedCard.setText(action_message["action"] if action_message["action"] else "不出")
self.WinRate.setText("胜率:" + action_message["win_rate"])
print("\n手牌:", str(''.join(
[EnvCard2RealCard[c] for c in self.env.info_sets[self.user_position].player_hand_cards])))
print("出牌:", action_message["action"] if action_message["action"] else "不出", ", 胜率:",
action_message["win_rate"])
while self.have_white(self.RPlayedCardsPos) == 1 or \
pyautogui.locateOnScreen('pics/pass.png',
region=self.RPlayedCardsPos,
confidence=self.LandlordFlagConfidence):
print("等待玩家出牌")
self.counter.restart()
while self.counter.elapsed() < 100:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
self.play_order = 1
elif self.play_order == 1:
self.RPlayedCard.setText("...")
pass_flag = None
while self.have_white(self.RPlayedCardsPos) == 0 and \
not pyautogui.locateOnScreen('pics/pass.png',
region=self.RPlayedCardsPos,
confidence=self.LandlordFlagConfidence):
print("等待下家出牌")
self.counter.restart()
while self.counter.elapsed() < 500:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
self.counter.restart()
while self.counter.elapsed() < 500:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
# 不出
pass_flag = pyautogui.locateOnScreen('pics/pass.png',
region=self.RPlayedCardsPos,
confidence=self.LandlordFlagConfidence)
# 未找到"不出"
if pass_flag is None:
# 识别下家出牌
self.other_played_cards_real = self.find_other_cards(self.RPlayedCardsPos)
# 找到"不出"
else:
self.other_played_cards_real = ""
print("\n下家出牌:", self.other_played_cards_real)
self.other_played_cards_env = [RealCard2EnvCard[c] for c in list(self.other_played_cards_real)]
self.env.step(self.user_position, self.other_played_cards_env)
# 更新界面
self.RPlayedCard.setText(self.other_played_cards_real if self.other_played_cards_real else "不出")
self.play_order = 2
elif self.play_order == 2:
self.LPlayedCard.setText("...")
while self.have_white(self.LPlayedCardsPos) == 0 and \
not pyautogui.locateOnScreen('pics/pass.png',
region=self.LPlayedCardsPos,
confidence=self.LandlordFlagConfidence):
print("等待上家出牌")
self.counter.restart()
while self.counter.elapsed() < 500:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
self.counter.restart()
while self.counter.elapsed() < 500:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
# 不出
pass_flag = pyautogui.locateOnScreen('pics/pass.png',
region=self.LPlayedCardsPos,
confidence=self.LandlordFlagConfidence)
# 未找到"不出"
if pass_flag is None:
# 识别上家出牌
self.other_played_cards_real = self.find_other_cards(self.LPlayedCardsPos)
# 找到"不出"
else:
self.other_played_cards_real = ""
print("\n上家出牌:", self.other_played_cards_real)
self.other_played_cards_env = [RealCard2EnvCard[c] for c in list(self.other_played_cards_real)]
self.env.step(self.user_position, self.other_played_cards_env)
self.play_order = 0
# 更新界面
self.LPlayedCard.setText(self.other_played_cards_real if self.other_played_cards_real else "不出")
else:
pass
self.counter.restart()
while self.counter.elapsed() < 100:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
print("{}胜,本局结束!\n".format("农民" if self.env.winner == "farmer" else "地主"))
QMessageBox.information(self, "本局结束", "{}胜!".format("农民" if self.env.winner == "farmer" else "地主"),
QMessageBox.Yes, QMessageBox.Yes)
self.env.reset()
self.init_display()
def find_landlord(self, landlord_flag_pos):
for pos in landlord_flag_pos:
result = pyautogui.locateOnScreen('pics/landlord_words.png', region=pos, confidence=self.LandlordFlagConfidence)
if result is not None:
return landlord_flag_pos.index(pos)
return None
def find_three_landlord_cards(self, pos):
three_landlord_cards_real = ""
img = pyautogui.screenshot(region=pos)
img = img.resize((349, 168))
for card in AllCards:
result = pyautogui.locateAll(needleImage='pics/o' + card + '.png', haystackImage=img,
confidence=self.ThreeLandlordCardsConfidence)
three_landlord_cards_real += card[1] * self.cards_filter(list(result), self.OtherFilter)
return three_landlord_cards_real
def find_my_cards(self, pos):
user_hand_cards_real = ""
img = pyautogui.screenshot(region=pos)
for card in AllCards:
result = pyautogui.locateAll(needleImage='pics/m' + card + '.png', haystackImage=img, confidence=self.MyConfidence)
user_hand_cards_real += card[1] * self.cards_filter(list(result), self.MyFilter)
return user_hand_cards_real
def find_other_cards(self, pos):
other_played_cards_real = ""
self.counter.restart()
while self.counter.elapsed() < 500:
QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)
img = pyautogui.screenshot(region=pos)
for card in AllCards:
result = pyautogui.locateAll(needleImage='pics/o' + card + '.png', haystackImage=img,
confidence=self.OtherConfidence)
other_played_cards_real += card[1] * self.cards_filter(list(result), self.OtherFilter)
return other_played_cards_real
def cards_filter(self, location, distance): # 牌检测结果滤波
if len(location) == 0:
return 0
locList = [location[0][0]]
count = 1
for e in location:
flag = 1 # “是新的”标志
for have in locList:
if abs(e[0] - have) <= distance:
flag = 0
break
if flag:
count += 1
locList.append(e[0])
return count
def have_white(self, pos): # 是否有白块
result = pyautogui.locateOnScreen('pics/white.png', region=pos, confidence=self.WhiteConfidence)
if result is None:
return 0
else:
return 1
def stop(self):
try:
self.env.game_over = True
except AttributeError as e:
pass
if __name__ == '__main__':
# os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
# os.environ["CUDA_VISIBLE_DEVICES"] = '0'
os.environ["GIT_PYTHON_REFRESH"] = 'quiet'
app = QtWidgets.QApplication(sys.argv)
app.setStyleSheet("""
QPushButton{
text-align : center;
background-color : white;
font: bold;
border-color: gray;
border-width: 2px;
border-radius: 10px;
padding: 6px;
height : 14px;
border-style: outset;
font : 14px;
}
QPushButton:hover{
background-color : light gray;
}
QPushButton:pressed{
text-align : center;
background-color : gray;
font: bold;
border-color: gray;
border-width: 2px;
border-radius: 10px;
padding: 6px;
height : 14px;
border-style: outset;
font : 14px;
padding-left:9px;
padding-top:9px;
}
QComboBox{
background:transparent;
border: 1px solid rgba(200, 200, 200, 100);
font-weight: bold;
}
QComboBox:drop-down{
border: 0px;
}
QComboBox QAbstractItemView:item{
height: 30px;
}
QLabel{
background:transparent;
font-weight: bold;
}
""")
my_pyqt_form = MyPyQT_Form()
my_pyqt_form.show()
sys.exit(app.exec_())
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