基于DouZero定制AI实战欢乐斗地主

Overview

DouZero_For_Happy_DouDiZhu: 将DouZero用于欢乐斗地主实战

Logo

  • 本项目基于DouZero
  • 环境配置请移步项目DouZero
  • 模型默认为WP,更换模型请修改start.py中的模型路径
  • 运行main.py即可
  • SL (baselines/sl/): 基于人类数据进行深度学习的预训练模型
  • DouZero-ADP (baselines/douzero_ADP/): 以平均分数差异(Average Difference Points, ADP)为目标训练的Douzero智能体
  • DouZero-WP (baselines/douzero_WP/): 以胜率(Winning Percentage, WP)为目标训练的Douzero智能体

说明

  • 将玩家角色设置为AI,需开局时手动输入玩家角色、初始手牌、三张底牌
  • 每轮手动输入其他两位玩家出的牌,AI给出出牌建议以及预计胜率
  • 暂未设计可视化界面,正考虑通过截屏自动识别开局手牌。
  • 欢乐斗地主窗口模式最大化运行,屏幕分辨率1920x1080。由于设计像素级操作,运行出错请检查截图区域坐标(位于MyPyQT_Form类中的__init__函数内)
  • 窗口移至右下角,避免遮挡手牌,历史牌,底牌区域。

使用步骤

  1. 确认环境正常,等待手牌出现、底牌出现、地主角色确认后,点击开始,耗时几秒完成识别。
  2. 窗口内显示识别结果,地主角色使用淡红色标出。识别完成自动开始记录出牌。
  3. 观察AI建议的出牌,在游戏中手动选择并打出。
  4. 游戏结束后弹出对话框提示输赢。
  5. 识别错误或无反应可通过结束按钮停止本局。至于游戏,就自己手动打完吧。

潜在Bug

  • 王炸时出牌特效时间较长,有一定几率导致只能识别出一个王。

鸣谢

  • 本项目基于DouZero
  • 借鉴了cardRecorder项目的部分代码以及模板图片,用于识别扑克牌

相关链接

Comments
  • 请问这是我的设置问题吗

    请问这是我的设置问题吗

    我首先按照要求安装了所需依赖,进入对局点击开始后提示输出

    等待下家出牌 等待下家出牌 等待下家出牌

    下家出牌: 44333 Traceback (most recent call last): File "c:\Users\11984\Downloads\DouZero_For_HappyDouDiZhu-master\main.py", line 170, in init_cards self.start() File "c:\Users\11984\Downloads\DouZero_For_HappyDouDiZhu-master\main.py", line 226, in start
    self.env.step(self.user_position, self.other_played_cards_env) TypeError: step() takes 1 positional argument but 3 were given

    以上这样的报错 图形界面卡死,图片附上

    report

    opened by jiahao2333 4
  • 开始以后闪退

    开始以后闪退

    看记录好像能识别出手牌,麻烦帮忙看看是为什么

    F:\Desktop\DouZero_For_HappyDouDiZhu-2.0>python main.py {'three_landlord_cards': [9, 8, 3], 'landlord_up': [17, 17, 14, 14, 13, 13, 12, 12, 10, 9, 8, 7, 7, 6, 5, 4, 3], 'landlord': [9, 9, 9, 10, 10, 10, 11, 11, 11, 11, 12, 12, 13, 13, 14, 14, 17, 17, 20, 30], 'landlord_down': [3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 8, 8, 8]} Traceback (most recent call last): File "C:\Users\liule\AppData\Local\Programs\Python\Python38\lib\site-packages\git_init_.py", line 83, in refresh() File "C:\Users\liule\AppData\Local\Programs\Python\Python38\lib\site-packages\git_init_.py", line 73, in refresh if not Git.refresh(path=path): File "C:\Users\liule\AppData\Local\Programs\Python\Python38\lib\site-packages\git\cmd.py", line 287, in refresh raise ImportError(err) ImportError: Bad git executable. The git executable must be specified in one of the following ways: - be included in your $PATH - be set via $GIT_PYTHON_GIT_EXECUTABLE - explicitly set via git.refresh()

    All git commands will error until this is rectified.

    This initial warning can be silenced or aggravated in the future by setting the $GIT_PYTHON_REFRESH environment variable. Use one of the following values: - quiet|q|silence|s|none|n|0: for no warning or exception - warn|w|warning|1: for a printed warning - error|e|raise|r|2: for a raised exception

    Example: export GIT_PYTHON_REFRESH=quiet

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last): File "main.py", line 164, in init_cards ai_players[1] = DeepAgent(self.user_position, self.card_play_model_path_dict[self.user_position]) File "F:\Desktop\DouZero_For_HappyDouDiZhu-2.0\douzero\evaluation\deep_agent.py", line 25, in init self.model = load_model(position, model_path) File "F:\Desktop\DouZero_For_HappyDouDiZhu-2.0\douzero\evaluation\deep_agent.py", line 7, in load_model from douzero.dmc.models import model_dict File "F:\Desktop\DouZero_For_HappyDouDiZhu-2.0\douzero\dmc_init.py", line 1, in from .dmc import train File "F:\Desktop\DouZero_For_HappyDouDiZhu-2.0\douzero\dmc\dmc.py", line 12, in from .file_writer import FileWriter File "F:\Desktop\DouZero_For_HappyDouDiZhu-2.0\douzero\dmc\file_writer.py", line 25, in import git File "C:\Users\liule\AppData\Local\Programs\Python\Python38\lib\site-packages\git_init.py", line 85, in raise ImportError('Failed to initialize: {0}'.format(exc)) ImportError: Failed to initialize: Bad git executable. The git executable must be specified in one of the following ways: - be included in your $PATH - be set via $GIT_PYTHON_GIT_EXECUTABLE - explicitly set via git.refresh()

    All git commands will error until this is rectified.

    This initial warning can be silenced or aggravated in the future by setting the $GIT_PYTHON_REFRESH environment variable. Use one of the following values: - quiet|q|silence|s|none|n|0: for no warning or exception - warn|w|warning|1: for a printed warning - error|e|raise|r|2: for a raised exception

    Example: export GIT_PYTHON_REFRESH=quiet

    opened by 0xbba 3
  • 区域坐标能否解答下?

    区域坐标能否解答下?

    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
    

    我怎么用坐标拾取工具对比了下发现完全不对

    opened by daofeng2015 1
  • 由于分辨率导致的牌面识别瓶颈改进意见

    由于分辨率导致的牌面识别瓶颈改进意见

    使用win32gui库对游戏窗口进行坐标(0,0)、尺寸(默认尺寸)自动固定,如下: win32gui.SetWindowPos(hwnd, win32con.HWND_NOTOPMOST, 0, 0, 1440, 838, win32con.SWP_SHOWWINDOW)

    然后在此基础上制作配套pics,可极大降低由分辨率问题引起的各类找图问题。

    opened by null119 0
  • pos_duge报错

    pos_duge报错

    [ WARN:[email protected]] global D:\a\opencv-python\opencv-python\opencv\modules\imgcodecs\src\loadsave.cpp (239) cv::findDecoder imread_('QQ截图20220507102631.png'): can't open/read file: check file path/integrity Traceback (most recent call last): File "G:/python/code_py/douzero_huanledoudizhu/DouZero_For_HappyDouDiZhu/pos_debug.py", line 25, in cv2.imshow("test", img) cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor' 想问一下这是什么情况

    opened by fengmianchen 0
Releases(v2.0)
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions Accepted by AAAI 2022 [arxiv] Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jia

liuwenyu 245 Dec 16, 2022
[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

[ICLR 2021] RAPID: A Simple Approach for Exploration in Reinforcement Learning This is the Tensorflow implementation of ICLR 2021 paper Rank the Episo

Daochen Zha 48 Nov 21, 2022
Code base of object detection

rmdet code base of object detection. 环境安装: 1. 安装conda python环境 - `conda create -n xxx python=3.7/3.8` - `conda activate xxx` 2. 运行脚本,自动安装pytorch1

3 Mar 08, 2022
Official PyTorch implementation of "Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient".

Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient This repository is the official PyTorch implementation of "Edge Rewiring Go

Shanchao Yang 4 Dec 12, 2022
Space Invaders For Python

Space-Invaders Just download or clone the git repository. To run the Space Invader game you need to have pyhton installed in you system. If you dont h

Fei 5 Jul 27, 2022
The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm

Quantum Qubit Rotation Algorithm Single qubit rotation gates $$ U(\Theta)=\bigotimes_{i=1}^n R_x (\phi_i) $$ QQRA for the max-cut problem This code wa

SheffieldWang 0 Oct 18, 2021
Sequence to Sequence Models with PyTorch

Sequence to Sequence models with PyTorch This repository contains implementations of Sequence to Sequence (Seq2Seq) models in PyTorch At present it ha

Sandeep Subramanian 708 Dec 19, 2022
CellRank's reproducibility repository.

CellRank's reproducibility repository We believe that reproducibility is key and have made it as simple as possible to reproduce our results. Please e

Theis Lab 8 Oct 08, 2022
This repository provides an efficient PyTorch-based library for training deep models.

s3sec Test AWS S3 buckets for read/write/delete access This tool was developed to quickly test a list of s3 buckets for public read, write and delete

Bytedance Inc. 123 Jan 05, 2023
Applying PVT to Semantic Segmentation

Applying PVT to Semantic Segmentation Here, we take MMSegmentation v0.13.0 as an example, applying PVTv2 to SemanticFPN. For details see Pyramid Visio

35 Nov 30, 2022
[CVPR'21] DeepSurfels: Learning Online Appearance Fusion

DeepSurfels: Learning Online Appearance Fusion Paper | Video | Project Page This is the official implementation of the CVPR 2021 submission DeepSurfel

Online Reconstruction 52 Nov 14, 2022
Implementation of Nyström Self-attention, from the paper Nyströmformer

Nyström Attention Implementation of Nyström Self-attention, from the paper Nyströmformer. Yannic Kilcher video Install $ pip install nystrom-attention

Phil Wang 95 Jan 02, 2023
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig

Shihua Huang 23 Jul 22, 2022
Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Medical-Transformer Pytorch Code for the paper "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" About this repo: This repo

Jeya Maria Jose 615 Dec 25, 2022
Focal and Global Knowledge Distillation for Detectors

FGD Paper: Focal and Global Knowledge Distillation for Detectors Install MMDetection and MS COCO2017 Our codes are based on MMDetection. Please follow

Mesopotamia 261 Dec 23, 2022
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Yong

19 Dec 17, 2022
Competitive Programming Club, Clinify's Official repository for CP problems hosting by club members.

Clinify-CPC_Programs This repository holds the record of the competitive programming club where the competitive coding aspirants are thriving hard and

Clinify Open Sauce 4 Aug 22, 2022
Real-time Neural Representation Fusion for Robust Volumetric Mapping

NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping Paper | Supplementary This repository contains the implementation of

ETHZ ASL 106 Dec 24, 2022
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling This repository contains the implementation for the paper Diffusion

James Thornton 50 Jan 03, 2023
MIM: MIM Installs OpenMMLab Packages

MIM provides a unified API for launching and installing OpenMMLab projects and their extensions, and managing the OpenMMLab model zoo.

OpenMMLab 254 Jan 04, 2023