斗地主老是輸？一起用Python做個(gè)自動(dòng)出牌器，歡樂豆蹭蹭漲！
版權(quán)聲明：本文為博主原創(chuàng)文章，遵循 CC 4.0 BY-SA 版權(quán)協(xié)議，轉(zhuǎn)載請(qǐng)附上原文出處鏈接和本聲明。本文鏈接：
https://blog.csdn.net/hhladminhhl/article/details/119304504
前言
最近在網(wǎng)上看到一個(gè)有意思的開源項(xiàng)目，快手團(tuán)隊(duì)開發(fā)的開源AI斗地主——DouZero。今天我們就一起來(lái)學(xué)習(xí)制作一個(gè)基于DouZero的歡樂斗地主出牌器，看看AI是如何來(lái)幫助我們斗地主，贏歡樂豆，實(shí)現(xiàn)財(cái)富自由的吧！
首先一起來(lái)看看AI斗地主出牌器的效果：
下面，我們開始介紹這個(gè)AI出牌器的制作過程。
一、核心功能設(shè)計(jì)
首先我們這款出牌器是基于DouZero開發(fā)的，核心是需要利用訓(xùn)練好的AI模型來(lái)幫住我們，給出最優(yōu)出牌方案。
其次關(guān)于出牌器，先要需要確認(rèn)一個(gè)AI出牌角色，代表我們玩家自己。我們只要給這個(gè)AI輸入玩家手牌和三張底牌。確認(rèn)好地主和農(nóng)民的各個(gè)角色，告訴它三個(gè)人對(duì)應(yīng)的關(guān)系，這樣就可以確定隊(duì)友和對(duì)手。我們還要將每一輪其他兩人的出牌輸入，這樣出牌器就可以根據(jù)出牌數(shù)據(jù)，及時(shí)提供給我們最優(yōu)出牌決策，帶領(lǐng)我們?nèi)〉脛倮?/span>
那么如何獲取三者之間的關(guān)系呢？誰(shuí)是地主？誰(shuí)是農(nóng)民？是自己一人作戰(zhàn)還是農(nóng)民合作？自己玩家的手牌是什么？三張底牌是什么？這些也都需要在開局后確認(rèn)好。
拆解需求，大致可以整理出核心功能如下：
UI設(shè)計(jì)排版布局
顯示三張底牌
顯示AI角色出牌數(shù)據(jù)區(qū)域，上家出牌數(shù)據(jù)區(qū)域，下家出牌數(shù)據(jù)區(qū)域，本局勝率區(qū)域
AI玩家手牌區(qū)域
AI出牌器開始停止
手牌和出牌數(shù)據(jù)識(shí)別
游戲剛開始根據(jù)屏幕位置，截圖識(shí)別AI玩家手牌及三張底牌
確認(rèn)三者之間的關(guān)系，識(shí)別地主和農(nóng)民角色，確認(rèn)隊(duì)友及對(duì)手關(guān)系
識(shí)別每輪三位玩家依次出了什么牌，刷新顯示對(duì)應(yīng)區(qū)域
AI出牌方案輸出
加載訓(xùn)練好的AI模型，初始化游戲環(huán)境
每輪出牌判斷，根據(jù)上家出牌數(shù)據(jù)給出最優(yōu)出牌決策
自動(dòng)刷新玩家剩余手牌和本局勝率預(yù)測(cè)
二、實(shí)現(xiàn)步驟
1. UI設(shè)計(jì)排版布局
根據(jù)上述功能，我們首先考慮進(jìn)行簡(jiǎn)單的UI布局設(shè)計(jì)，這里我們使用的是pyqt5。核心設(shè)計(jì)代碼如下：
def setupUi(self, Form):Form.setObjectName("Form")Form.resize(440, 395)font = QtGui.QFont()font.setFamily("Arial")font.setPointSize(9)font.setBold(True)font.setItalic(False)font.setWeight(75)Form.setFont(font)self.WinRate = QtWidgets.QLabel(Form)self.WinRate.setGeometry(QtCore.QRect(240, 180, 171, 61))font = QtGui.QFont()font.setPointSize(14)self.WinRate.setFont(font)self.WinRate.setAlignment(QtCore.Qt.AlignCenter)self.WinRate.setObjectName("WinRate")self.InitCard = QtWidgets.QPushButton(Form)self.InitCard.setGeometry(QtCore.QRect(60, 330, 121, 41))font = QtGui.QFont()font.setFamily("Arial")font.setPointSize(14)font.setBold(True)font.setWeight(75)self.InitCard.setFont(font)self.InitCard.setStyleSheet("")self.InitCard.setObjectName("InitCard")self.UserHandCards = QtWidgets.QLabel(Form)self.UserHandCards.setGeometry(QtCore.QRect(10, 260, 421, 41))font = QtGui.QFont()font.setPointSize(14)self.UserHandCards.setFont(font)self.UserHandCards.setAlignment(QtCore.Qt.AlignCenter)self.UserHandCards.setObjectName("UserHandCards")self.LPlayer = QtWidgets.QFrame(Form)self.LPlayer.setGeometry(QtCore.QRect(10, 80, 201, 61))self.LPlayer.setFrameShape(QtWidgets.QFrame.StyledPanel)self.LPlayer.setFrameShadow(QtWidgets.QFrame.Raised)self.LPlayer.setObjectName("LPlayer")self.LPlayedCard = QtWidgets.QLabel(self.LPlayer)self.LPlayedCard.setGeometry(QtCore.QRect(0, 0, 201, 61))font = QtGui.QFont()font.setPointSize(14)self.LPlayedCard.setFont(font)self.LPlayedCard.setAlignment(QtCore.Qt.AlignCenter)self.LPlayedCard.setObjectName("LPlayedCard")self.RPlayer = QtWidgets.QFrame(Form)self.RPlayer.setGeometry(QtCore.QRect(230, 80, 201, 61))font = QtGui.QFont()font.setPointSize(16)self.RPlayer.setFont(font)self.RPlayer.setFrameShape(QtWidgets.QFrame.StyledPanel)self.RPlayer.setFrameShadow(QtWidgets.QFrame.Raised)self.RPlayer.setObjectName("RPlayer")self.RPlayedCard = QtWidgets.QLabel(self.RPlayer)self.RPlayedCard.setGeometry(QtCore.QRect(0, 0, 201, 61))font = QtGui.QFont()font.setPointSize(14)self.RPlayedCard.setFont(font)self.RPlayedCard.setAlignment(QtCore.Qt.AlignCenter)self.RPlayedCard.setObjectName("RPlayedCard")self.Player = QtWidgets.QFrame(Form)self.Player.setGeometry(QtCore.QRect(40, 180, 171, 61))self.Player.setFrameShape(QtWidgets.QFrame.StyledPanel)self.Player.setFrameShadow(QtWidgets.QFrame.Raised)self.Player.setObjectName("Player")self.PredictedCard = QtWidgets.QLabel(self.Player)self.PredictedCard.setGeometry(QtCore.QRect(0, 0, 171, 61))font = QtGui.QFont()font.setPointSize(14)self.PredictedCard.setFont(font)self.PredictedCard.setAlignment(QtCore.Qt.AlignCenter)self.PredictedCard.setObjectName("PredictedCard")self.ThreeLandlordCards = QtWidgets.QLabel(Form)self.ThreeLandlordCards.setGeometry(QtCore.QRect(140, 10, 161, 41))font = QtGui.QFont()font.setPointSize(16)self.ThreeLandlordCards.setFont(font)self.ThreeLandlordCards.setAlignment(QtCore.Qt.AlignCenter)self.ThreeLandlordCards.setObjectName("ThreeLandlordCards")self.Stop = QtWidgets.QPushButton(Form)self.Stop.setGeometry(QtCore.QRect(260, 330, 111, 41))font = QtGui.QFont()font.setFamily("Arial")font.setPointSize(14)font.setBold(True)font.setWeight(75)self.Stop.setFont(font)self.Stop.setStyleSheet("")self.Stop.setObjectName("Stop")self.retranslateUi(Form)self.InitCard.clicked.connect(Form.init_cards)self.Stop.clicked.connect(Form.stop)QtCore.QMetaObject.connectSlotsByName(Form)def retranslateUi(self, Form):_translate = QtCore.QCoreApplication.translateForm.setWindowTitle(_translate("Form", "AI歡樂斗地主--Dragon少年"))self.WinRate.setText(_translate("Form", "勝率：--%"))self.InitCard.setText(_translate("Form", "開始"))self.UserHandCards.setText(_translate("Form", "手牌"))self.LPlayedCard.setText(_translate("Form", "上家出牌區(qū)域"))self.RPlayedCard.setText(_translate("Form", "下家出牌區(qū)域"))self.PredictedCard.setText(_translate("Form", "AI出牌區(qū)域"))self.ThreeLandlordCards.setText(_translate("Form", "三張底牌"))self.Stop.setText(_translate("Form", "停止"))
實(shí)現(xiàn)效果如下：
2. 手牌和出牌數(shù)據(jù)識(shí)別
下面我們需要所有撲克牌的模板圖片與游戲屏幕特定區(qū)域的截圖進(jìn)行對(duì)比，這樣才能獲取AI玩家手牌、底牌、每一輪出牌、三者關(guān)系（地主、地主上家、地主下家）。
識(shí)別AI玩家手牌及三張底牌：
我們可以截取游戲屏幕，根據(jù)固定位置來(lái)識(shí)別當(dāng)前AI玩家的手牌和三張底牌。核心代碼如下：
# 牌檢測(cè)結(jié)果濾波def cards_filter(self, location, distance):if len(location) == 0:return 0locList = [location[0][0]]count = 1for e in location:flag = 1 # “是新的”標(biāo)志for have in locList:if abs(e[0] - have) <= distance:flag = 0breakif flag:count += 1locList.append(e[0])return count# 獲取玩家AI手牌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# 獲取地主三張底牌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
效果如下所示：
地主、地主上家、地主下家：
同理我們可以根據(jù)游戲屏幕截圖，識(shí)別地主的圖標(biāo)，確認(rèn)地主角色。核心代碼如下：
# 查找地主角色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
這樣我們就可以得到玩家AI手牌，其他玩家手牌（預(yù)測(cè)），地主三張底牌，三者角色關(guān)系，出牌順序。核心代碼如下：
# 坐標(biāo)self.MyHandCardsPos = (414, 804, 1041, 59) # AI玩家截圖區(qū)域self.LPlayedCardsPos = (530, 470, 380, 160) # 左側(cè)玩家截圖區(qū)域self.RPlayedCardsPos = (1010, 470, 380, 160) # 右側(cè)玩家截圖區(qū)域self.LandlordFlagPos = [(1320, 300, 110, 140), (320, 720, 110, 140), (500, 300, 110, 140)] # 地主標(biāo)志截圖區(qū)域(右-我-左)self.ThreeLandlordCardsPos = (817, 36, 287, 136) # 地主底牌截圖區(qū)域，resize成349x168def 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（整副牌減去玩家手牌，后續(xù)再減掉歷史出牌）self.other_hand_cards = []# 三張底牌self.three_landlord_cards_real = ""self.three_landlord_cards_env = []# 玩家角色代碼：0-地主上家, 1-地主, 2-地主下家self.user_position_code = Noneself.user_position = ""# 開局時(shí)三個(gè)玩家的手牌self.card_play_data_list = {}# 出牌順序：0-玩家出牌, 1-玩家下家出牌, 2-玩家上家出牌self.play_order = 0self.env = None# 識(shí)別玩家手牌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)]# 識(shí)別三張底牌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)]# 識(shí)別玩家的角色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, "選擇角色", "未識(shí)別到地主，請(qǐng)手動(dòng)選擇角色:", items, 0, False)if okPressed and item:self.user_position_code = items.index(item)else:returnself.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);')# 整副牌減去玩家手上的牌，就是其他人的手牌,再分配給另外兩個(gè)角色（如何分配對(duì)AI判斷沒有影響）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)# 生成手牌結(jié)束，校驗(yàn)手牌數(shù)量if len(self.card_play_data_list["three_landlord_cards"]) != 3:QMessageBox.critical(self, "底牌識(shí)別出錯(cuò)", "底牌必須是3張！", QMessageBox.Yes, QMessageBox.Yes)self.init_display()returnif 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, "手牌識(shí)別出錯(cuò)", "初始手牌數(shù)目有誤", QMessageBox.Yes, QMessageBox.Yes)self.init_display()return# 得到出牌順序self.play_order = 0 if self.user_position == "landlord" else 1 if self.user_position == "landlord_up" else 2
效果如下：
3. AI出牌方案輸出
下面我們就需要用到DouZero開源的AI斗地主了。DouZero項(xiàng)目地址：https://github.com/kwai/DouZero。我們需要將該開源項(xiàng)目下載并導(dǎo)入項(xiàng)目中。
創(chuàng)建一個(gè)AI玩家角色，初始化游戲環(huán)境，加載模型，進(jìn)行每輪的出牌判斷，控制一局游戲流程的進(jìn)行和結(jié)束。核心代碼如下：
# 創(chuàng)建一個(gè)代表玩家的AIai_players = [0, 0]ai_players[0] = self.user_positionai_players[1] = DeepAgent(self.user_position, self.card_play_model_path_dict[self.user_position])# 初始化游戲環(huán)境self.env = GameEnv(ai_players)# 游戲開始self.start()def start(self):self.env.card_play_init(self.card_play_data_list)print("開始出牌\n")while not self.env.game_over:# 玩家出牌時(shí)就通過智能體獲取action，否則通過識(shí)別獲取其他玩家出牌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("勝率：" + 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", "， 勝率：",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 = 1elif self.play_order == 1:self.RPlayedCard.setText("...")pass_flag = Nonewhile 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:# 識(shí)別下家出牌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 = 2elif 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:# 識(shí)別上家出牌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:passself.counter.restart()while self.counter.elapsed() < 100:QtWidgets.QApplication.processEvents(QEventLoop.AllEvents, 50)print("{}勝，本局結(jié)束!\n".format("農(nóng)民" if self.env.winner == "farmer" else "地主"))QMessageBox.information(self, "本局結(jié)束", "{}勝！".format("農(nóng)民" if self.env.winner == "farmer" else "地主"),QMessageBox.Yes, QMessageBox.Yes)self.env.reset()self.init_display()
到這里，整個(gè)AI斗地主出牌流程基本已經(jīng)完成了。
三、出牌器用法
按照上述過程，這款A(yù)I出牌器已經(jīng)制作完成了。后面應(yīng)該如何使用呢？如果不想研究源碼，只想使用這款A(yù)I斗地主出牌器，驗(yàn)證下效果，該怎么配置環(huán)境運(yùn)行這個(gè)AI出牌器呢？下面就開始介紹。
1. 環(huán)境配置
首先我們需要安裝這些第三方庫(kù)，配置相關(guān)環(huán)境，如下所示：
torch==1.9.0GitPython==3.0.5gitdb2==2.0.6PyAutoGUI==0.9.50PyQt5==5.13.0PyQt5-sip==12.8.1Pillow>=5.2.0opencv-pythonrlcard
2. 坐標(biāo)調(diào)整確認(rèn)
我們可以打開歡樂斗地主游戲界面，將游戲窗口模式下最大化運(yùn)行，把AI出牌器程序窗口需要移至右下角，不能遮擋手牌、地主標(biāo)志、底牌、歷史出牌這些關(guān)鍵位置。
其次我們要確認(rèn)屏幕截圖獲取的各個(gè)區(qū)域是否正確。如果有問題需要進(jìn)行區(qū)域位置坐標(biāo)調(diào)整。
# 坐標(biāo)self.MyHandCardsPos = (414, 804, 1041, 59) # 我的截圖區(qū)域self.LPlayedCardsPos = (530, 470, 380, 160) # 左邊截圖區(qū)域self.RPlayedCardsPos = (1010, 470, 380, 160) # 右邊截圖區(qū)域self.LandlordFlagPos = [(1320, 300, 110, 140), (320, 720, 110, 140), (500, 300, 110, 140)] # 地主標(biāo)志截圖區(qū)域(右-我-左)self.ThreeLandlordCardsPos = (817, 36, 287, 136) # 地主底牌截圖區(qū)域，resize成349x168
3. 運(yùn)行測(cè)試
當(dāng)所有環(huán)境配置完成，各區(qū)域坐標(biāo)位置確認(rèn)無(wú)誤之后，下面我們就可以直接運(yùn)行程序，測(cè)試效果啦~
首先我們運(yùn)行AI出牌器程序，打開歡樂斗地主游戲界面，進(jìn)入游戲。當(dāng)玩家就位，手牌分發(fā)完畢，地主身份確認(rèn)之后，我們就可以點(diǎn)擊畫面中開始按鈕，讓AI來(lái)幫助我們斗地主了。
下面可以一起來(lái)看看這款A(yù)I出牌器的實(shí)驗(yàn)效果喔，看看AI是如何帶領(lǐng)農(nóng)民打倒地主，取得勝利的！
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