├── .gitignore ├── HeartBroken.ico ├── LICENSE.md ├── README.md ├── add_setting.py ├── assets ├── LaetitiaMinionCrop.webp ├── Wich.webp ├── Wich │ ├── Wich_00000.png │ ├── Wich_00001.png │ ├── Wich_00002.png │ ├── Wich_00003.png │ ├── Wich_00004.png │ ├── Wich_00005.png │ ├── Wich_00006.png │ ├── Wich_00007.png │ ├── Wich_00008.png │ ├── Wich_00009.png │ ├── Wich_00010.png │ ├── Wich_00011.png │ ├── Wich_00012.png │ ├── Wich_00013.png │ ├── Wich_00014.png │ ├── Wich_00015.png │ ├── Wich_00016.png │ ├── Wich_00017.png │ ├── Wich_00018.png │ ├── Wich_00019.png │ ├── Wich_00020.png │ ├── Wich_00021.png │ ├── Wich_00022.png │ └── Wich_00023.png ├── back_button_1690.png ├── back_button_fullscreen.png ├── bus_1690.png ├── bus_fullscreen.png ├── button_close_1690.png ├── button_close_fullscreen.png ├── button_ip_1690.png ├── button_ip_fullscreen.png ├── button_setting_1690.png ├── button_setting_fullscreen.png ├── button_sk_1690.png ├── button_sk_fullscreen.png ├── button_yes2_1690.png ├── button_yes2_fullscreen.png ├── button_yes_1690.png ├── button_yes_fullscreen.png ├── censored.png ├── chair_1690.png ├── chair_fullscreen.png ├── ego1_1690.png ├── ego1_fullscreen.png ├── ego2_1690.png ├── ego2_fullscreen.png ├── ego3_1690.png ├── ego3_fullscreen.png ├── ego4_1690.png ├── ego4_fullscreen.png ├── en │ ├── bad_en_1690.png │ ├── bad_en_fullscreen.png │ ├── badbad_en_1690.png │ ├── badbad_en_fullscreen.png │ ├── button_vote1_en_1690.png │ ├── button_vote1_en_fullscreen.png │ ├── button_vote2_en_1690.png │ ├── button_vote2_en_fullscreen.png │ ├── button_vote3_en_1690.png │ ├── button_vote3_en_fullscreen.png │ ├── button_vote4_en_1690.png │ ├── button_vote4_en_fullscreen.png │ ├── button_vote5_en_1690.png │ ├── button_vote5_en_fullscreen.png │ ├── death_en_1690.png │ └── death_en_fullscreen.png ├── encounter_1690.png ├── encounter_fullscreen.png ├── gear2_1690.png ├── gear2_fullscreen.png ├── gear_1690.png ├── gear_fullscreen.png ├── gifts │ ├── ashes2_1690.png │ ├── ashes_1690.png │ ├── back_1690.png │ ├── backplz_1690.png │ ├── battery2_1690.png │ ├── battery_1690.png │ ├── branch2_1690.png │ ├── branch_1690.png │ ├── button_yes3_1690.png │ ├── button_yes4_1690.png │ ├── dust2_1690.png │ ├── dust_1690.png │ ├── gifts_checked_1690.png │ ├── horseshoe2_1690.png │ ├── horseshoe_1690.png │ ├── leaf2_1690.png │ ├── leaf_1690.png │ ├── muzzle2_1690.png │ ├── muzzle_1690.png │ ├── normal_1690.png │ ├── over_1690.png │ ├── refresh_1690.png │ ├── wire2_1690.png │ └── wire_1690.png ├── jp │ ├── bad_jp_1690.png │ ├── bad_jp_fullscreen.png │ ├── badbad_jp_1690.png │ ├── badbad_jp_fullscreen.png │ ├── button_vote1_jp_1690.png │ ├── button_vote1_jp_fullscreen.png │ ├── button_vote2_jp_1690.png │ ├── button_vote2_jp_fullscreen.png │ ├── button_vote3_jp_1690.png │ ├── button_vote3_jp_fullscreen.png │ ├── button_vote4_jp_1690.png │ ├── button_vote4_jp_fullscreen.png │ ├── button_vote5_jp_1690.png │ ├── button_vote5_jp_fullscreen.png │ ├── death_jp_1690.png │ └── death_jp_fullscreen.png ├── kr │ ├── bad_kr_1690.png │ ├── bad_kr_fullscreen.png │ ├── badbad_kr_1690.png │ ├── badbad_kr_fullscreen.png │ ├── button_vote1_kr_1690.png │ ├── button_vote1_kr_fullscreen.png │ ├── button_vote2_kr_1690.png │ ├── button_vote2_kr_fullscreen.png │ ├── button_vote3_kr_1690.png │ ├── button_vote3_kr_fullscreen.png │ ├── button_vote4_kr_1690.png │ ├── button_vote4_kr_fullscreen.png │ ├── button_vote5_kr_1690.png │ ├── button_vote5_kr_fullscreen.png │ ├── death_kr_1690.png │ └── death_kr_fullscreen.png ├── melancholy_1690.png ├── melancholy_fullscreen.png ├── option_1690.png ├── option_fullscreen.png ├── other │ ├── 1_fullscreen.png │ ├── 2_1690.png │ └── 2_fullscreen.png ├── setting_button.png ├── stage_1690.png ├── stage_fullscreen.png ├── store_1690.png ├── store_fullscreen.png └── zh │ ├── bad_zh_1690.png │ ├── bad_zh_fullscreen.png │ ├── badbad_zh_1690.png │ ├── badbad_zh_fullscreen.png │ ├── button_vote1_zh_1690.png │ ├── button_vote1_zh_fullscreen.png │ ├── button_vote2_zh_1690.png │ ├── button_vote2_zh_fullscreen.png │ ├── button_vote3_zh_1690.png │ ├── button_vote3_zh_fullscreen.png │ ├── button_vote4_zh_1690.png │ ├── button_vote4_zh_fullscreen.png │ ├── button_vote5_zh_1690.png │ ├── button_vote5_zh_fullscreen.png │ ├── death_zh_1690.png │ ├── death_zh_fullscreen.png │ └── rename.ipynb ├── flet_test ├── keyboard-events.py └── setting_page_test.py ├── main.py ├── models ├── japan_PP-OCRv3_rec_infer.onnx └── korean_PP-OCRv3_rec_infer.onnx ├── onnxruntime_providers_shared.dll ├── opencv_test ├── center_hole_maker.py ├── contour_rectangle.py ├── find_and_draw_rotated_bounding_rectangles.py ├── find_skip_button.py ├── hls_filter_multi.py ├── hsl_image_filter.py ├── orb_test.py └── subtraction_operation.py ├── pack.bat ├── requirements.txt ├── settings.ini ├── test ├── Snipaste_2024-02-25_14-20-24.png ├── Snipaste_2024-02-26_23-00-27.png └── pp.png ├── text_test ├── get_choice_json.py └── the_fuss_test.py └── workbench ├── __init__.py ├── choices_dict.json ├── ego_gift.py ├── file_path_utils.py ├── image_processing.py ├── keyboard_control.py ├── logging_utils.py ├── main_work.py ├── mission_handling.py ├── mouse_control.py ├── ocr_utils.py ├── read_settings.py ├── ui_config.py └── worklist.json /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | /log/ 3 | /venv/ 4 | main.spec 5 | dist 6 | build 7 | .idea -------------------------------------------------------------------------------- /HeartBroken.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/HeartBroken.ico -------------------------------------------------------------------------------- /LICENSE.md: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free 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Limbug⚠Clicker


2 | 3 | > Limbus Company挂机脚本 4 | 5 |
6 | 7 | ### 脚本发布🍺4.1.0 8 | - 百度网盘→[点击跳转](https://pan.baidu.com/s/1XoUBqNN0wa81663HuXHxXA)，提取码`0e14` 9 | - Github Releases → [点击跳转](https://github.com/Xie-Tiao/Limbus-Scripts/releases) 10 | ### 使用说明⭐ 11 | - 分辨率只支持``1920*1080``或``1600 x 900`` 12 | - 语言支持**日韩英**，但是英韩没怎么测，可能存在bug 13 | - 有问题请提[issue](https://github.com/Xie-Tiao/Limbus-Scripts/issues)，或者加q群[660753997](http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=A7d_y-nT8veLireU5jjEjirEeL-PYHEO&authKey=CKGZp1EMeELWo9TVNviGCBfM7GVWElcye8qMxsNpHh168kMoDf449GQr5OFvak9P&noverify=0&group_code=660753997) 14 | - 📺[bilibili视频教程](https://www.bilibili.com/video/BV19P411h7Wx) 15 | 16 | ![视频封面图](https://github.com/Xie-Tiao/My-Imgurl/blob/main/script_video_cover.png "视频封面") 17 | --- 18 | ### 2024.3.10更新 19 | - 目前版本为4.1.0 20 | - 新增阵亡重开开关 21 | - 支持了零协汉化 22 | - 全屏识别图片换高清 23 | 24 | #### 预计新加功能 25 | - [ ] 全自动挂机 26 | - [ ] 利用**特征识别**适应任意分辨率 27 | - [ ] pyautogui库完全替换成Camreishi写的组件 28 | 29 |
30 | 31 | ### ~~2024.3.3更新~~ 32 | - ~~目前版本为4.0.2~~ 33 | - ~~先感谢[Camreishi佬](https://github.com/Camreishi)帮了很多忙~~ 34 | - ~~新增内容~~ 35 | - ~~英日韩三语支持~~ 36 | - ~~辅助使用ego~~ 37 | - ~~队友死亡自动重开~~ 38 | - ~~设置界面~~ 39 | - ~~语言选择~~ 40 | - ~~自定义窗口置顶与否~~ 41 | - ~~是否使用ego~~ 42 | - ~~**桌宠模式**~~ 43 | - ~~点击 **蕾蒂希娅** 即可***暂停***，且暂停时动画也跟着暂停~~ 44 | 45 | --- 46 | 47 | ### ~~2023.9.23更新~~ 48 | - ~~目前版本为3.1.3~~ 49 | - ~~兼容了win7~~ 50 | - ~~去掉了等待时间，现在脚本的运行速度取决于你的电脑性能~~ 51 | - ~~异想体事件“低い”补充~~ 52 | --- 53 | 54 | ### ~~2023.9.3更新~~ 55 | - ~~目前版本为3.1.2~~ 56 | - ~~使用门槛降低了，只要会摁鼠标就能用~~ 57 | - ~~主要是想做的更轻量一点，但发现实现起来困难重重，索性先这样吧~~ 58 | --- 59 | 60 | ### ~~2023.7.5更新~~ 61 | - ~~目前版本为2.3.3~~ 62 | - ~~没做大改动，适配了一下新的镜牢~~ 63 | ### ~~使用说明~~ 64 | - ~~默认分辨率为``1920*1080``，其他分辨率应该也能用~~ 65 | - ~~语言必须是**日语**，否则不生效~~ 66 | - ~~脚本仍是**半成品**，仅支持战斗界面、事件界面的自动化~~ 67 | - ~~**注意：** 镜牢选**商店**、**椅子**等休息处可能会出bug，建议避开~~ 68 | 1. ~~根据`requirements.txt`配置环境~~ 69 | 2. ~~建议直接在`.py`脚本文件所在路径打开cmd~~ 70 | 3. ~~在配置环境对应版本python中输入`python main.py`即可运行脚本~~ 71 | - ~~**注意：** 保证`assets`文件夹与`.py`文件在同一路径下~~ 72 | ### ~~预计下次更新~~ 73 | - [ ] ~~重新用Js编写脚本~~ 74 | - [ ] ~~重新用Electron配合Js搭建前端UI~~ 75 | - [ ] ~~真正实现轻量级~~ 76 |
77 | 记录 78 | 2023.5.22 79 |
    80 |
  • 方案 1：继续装opencv，用vs2022开发 81 |
  • 方案 2：研究其他语言py结合方法 82 |
83 |
84 | 85 | --- 86 | 87 | ### ~~2023.5.21更新~~ 88 | - ~~脚本命名更为**Limbug Clicker**，目前版本为2.2.2~~ 89 | - ~~前端GUI编码使用了`Flet`库，打包后的.exe有*427MB*，且启动耗时长~~ 90 | - ~~重新分类整理了代码、图片资源~~ 91 | --- 92 | ### ~~**2023.4.30发布**~~ 93 | ### ~~**使用说明**~~ 94 | - ~~基于python的`pyautogui`库编写了脚本~~ 95 | 1. ~~直接在`.py`脚本文件所在位置打开cmd~~ 96 | 2. ~~输入`python LBhelper2.0.py`~~ 97 | 3. ~~**注意：** 保证`cmd.xls`文件与`.py`文件以及`.png`文件在同一位置~~ 98 | 4. pyinstaller -D -w -i HeartBroken.ico main.py 99 | -------------------------------------------------------------------------------- /add_setting.py: -------------------------------------------------------------------------------- 1 | import configparser 2 | 3 | config = configparser.ConfigParser() 4 | # config.read('settings.ini') 5 | config.add_section('Language') 6 | config.add_section('Shortcut') 7 | config.set('Shortcut', 'Shortcut1', 'P') 8 | config.set('Shortcut', 'Shortcut2', 'Q') 9 | with open('settings.ini', 'w') as f: 10 | config.write(f) 11 | 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/assets/zh/rename.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import os\n", 10 | "import shutil\n", 11 | "\n", 12 | "# 获取文件夹中的所有文件名\n", 13 | "file_names = os.listdir('./')\n", 14 | "\n", 15 | "# 循环遍历每个文件名\n", 16 | "for file_name in file_names:\n", 17 | " # 分离文件名和扩展名\n", 18 | " old_file_name, old_ext = os.path.splitext(file_name)\n", 19 | " # 重命名文件\n", 20 | " new_file_name = old_file_name.replace('en', 'zh') + old_ext\n", 21 | " shutil.move('./' + file_name, './' + new_file_name)" 22 | ] 23 | } 24 | ], 25 | "metadata": { 26 | "kernelspec": { 27 | "display_name": "py310", 28 | "language": "python", 29 | "name": "python3" 30 | }, 31 | "language_info": { 32 | "codemirror_mode": { 33 | "name": "ipython", 34 | "version": 3 35 | }, 36 | "file_extension": ".py", 37 | "mimetype": "text/x-python", 38 | "name": "python", 39 | "nbconvert_exporter": "python", 40 | "pygments_lexer": "ipython3", 41 | "version": "3.9.13" 42 | } 43 | }, 44 | "nbformat": 4, 45 | "nbformat_minor": 2 46 | } 47 | -------------------------------------------------------------------------------- /flet_test/keyboard-events.py: -------------------------------------------------------------------------------- 1 | import json 2 | import time 3 | 4 | import flet 5 | from flet import Container, Page, Row, Text, border, colors, KeyboardEvent 6 | 7 | 8 | class ButtonControl(Container): 9 | def __init__(self, text): 10 | super().__init__() 11 | self.content = Text(text) 12 | self.border = border.all(1, colors.BLACK54) 13 | self.border_radius = 3 14 | self.bgcolor = "0x09000000" 15 | self.padding = 10 16 | self.visible = False 17 | 18 | 19 | def main(page: Page): 20 | def on_keyboard(e: KeyboardEvent): 21 | # for attr, value in vars(e).items(): 22 | # print(f"{attr}: {value}") 23 | data = json.loads(e.data) # 转换 string 到 dictionary 24 | keys_pressed = [k for k, v in data.items() if v and k != 'key'] 25 | final_string = ' + '.join(keys_pressed + [data['key']]) 26 | print(final_string) 27 | 28 | key.content.value = e.key 29 | key.visible = True 30 | shift.visible = e.shift 31 | ctrl.visible = e.ctrl 32 | alt.visible = e.alt 33 | meta.visible = e.meta 34 | page.update() 35 | time.sleep(0.5) 36 | key.visible = False 37 | shift.visible = False 38 | ctrl.visible = False 39 | alt.visible = False 40 | meta.visible = False 41 | page.update() 42 | 43 | page.on_keyboard_event = on_keyboard 44 | 45 | key = ButtonControl("") 46 | shift = ButtonControl("Shift") 47 | ctrl = ButtonControl("Control") 48 | alt = ButtonControl("Alt") 49 | meta = ButtonControl("Meta") 50 | 51 | page.spacing = 50 52 | page.vertical_alignment = "center" 53 | page.horizontal_alignment = "center" 54 | page.add( 55 | Text("Press any key with a combination of CTRL, ALT, SHIFT and META keys..."), 56 | Row([key, shift, ctrl, alt, meta], alignment="center"), 57 | ) 58 | 59 | 60 | flet.app(target=main) 61 | -------------------------------------------------------------------------------- /flet_test/setting_page_test.py: -------------------------------------------------------------------------------- 1 | import flet as ft 2 | 3 | import workbench 4 | 5 | 6 | def main(page: ft.Page): 7 | def handle_route_change(r: ft.RouteChangeEvent): 8 | if page.route == "/settings": 9 | page.views.clear() 10 | page.views.append(views["/settings"]) 11 | 12 | elif page.route == "/home": 13 | page.views.clear() 14 | page.views.append(views["/home"]) 15 | 16 | def go_settings(e: ft.ControlEvent): 17 | page.go("/settings") 18 | 19 | def go_home(e: ft.ControlEvent): 20 | page.go("/home") 21 | 22 | page.title = "Settings Navigation Example" 23 | page.horizontal_alignment = page.vertical_alignment = "center" 24 | views = workbench.ui_config.views 25 | 26 | views["/settings"] = ft.View( 27 | route="/settings", 28 | fullscreen_dialog=True, 29 | appbar=ft.AppBar( 30 | title=ft.Text("Settings Page"), 31 | leading=ft.IconButton(icon=ft.icons.ARROW_BACK, on_click=go_home)), 32 | controls=[ft.Text("Settings Content", weight=ft.FontWeight.BOLD, size=20)] 33 | ) 34 | views["/home"] = ft.View( 35 | route="/home", 36 | controls=[ft.OutlinedButton("Go to Settings", on_click=go_settings)] 37 | ) 38 | 39 | page.on_route_change = handle_route_change 40 | # page.on_view_pop = handle_view_pop 41 | page.add( 42 | ft.OutlinedButton("Go to Settings", on_click=go_settings) 43 | ) 44 | 45 | 46 | ft.app(target=main) 47 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import os 3 | import threading 4 | import time 5 | 6 | import flet as ft 7 | 8 | import workbench 9 | 10 | 11 | def main(page: ft.Page): 12 | page.window_title_bar_hidden = True 13 | page.window_frameless = True 14 | page.window_always_on_top = workbench.ui_config.ALWAYS_ON_TOP 15 | page.window_width, page.window_height = workbench.ui_config.HOME_PAGE_SIZE 16 | page.spacing = 0 17 | page.theme = ft.theme.Theme(color_scheme_seed='red') 18 | page.window_bgcolor = ft.colors.TRANSPARENT 19 | 20 | def handle_route_change(_): 21 | if page.route == "/settings": 22 | page.window_width, page.window_height = workbench.ui_config.SETTING_PAGE_SIZE 23 | page.views.clear() 24 | page.views.append(views["/settings"]) 25 | 26 | elif page.route == "/home": 27 | # save settings.ini when return home 28 | workbench.SettingsReader.write_config() 29 | page.window_width, page.window_height = workbench.ui_config.HOME_PAGE_SIZE 30 | page.views.clear() 31 | page.views.append(views["/home"]) 32 | 33 | page.on_route_change = handle_route_change 34 | 35 | def switch_page(e): 36 | route = e.control.data 37 | # if route == '/home': 38 | # pause_event.clear() 39 | # print("[Continue]") 40 | # else: 41 | # pause_event.set() 42 | # print("[Pausing]") 43 | page.go(route) 44 | 45 | pause_event = threading.Event() 46 | 47 | def pause_main_work(e): 48 | if pause_event.is_set(): 49 | pause_event.clear() 50 | e.control.tooltip = '程序正在运行...' 51 | print("[Continue]") 52 | else: 53 | pause_event.set() 54 | e.control.tooltip = '⚠已暂停' 55 | print("[Pausing]") 56 | e.control.update() 57 | 58 | # /settings 59 | 60 | # 创建一个下拉框，用于选择游戏语言 61 | language_dropdown = ft.Dropdown( 62 | options=[ 63 | ft.dropdown.Option("零协汉化"), 64 | ft.dropdown.Option("English"), 65 | ft.dropdown.Option("日本語"), 66 | ft.dropdown.Option("한국어"), 67 | ], 68 | value=workbench.SettingsReader.read_option_language('Language', 'current'), 69 | label="Game Language", 70 | data={ 71 | "零协汉化":'zh', 72 | "English": 'en', 73 | "日本語": 'jp', 74 | "한국어": 'kr', 75 | }, 76 | on_change=lambda e: workbench.SettingsReader.set_option('Language', 'Current', e.control.data[e.control.value]), 77 | content_padding=ft.padding.symmetric(horizontal=15), 78 | ) 79 | 80 | # 置顶窗口开关 81 | def toggle_always_on_top(): 82 | workbench.ui_config.ALWAYS_ON_TOP = not workbench.ui_config.ALWAYS_ON_TOP 83 | page.window_always_on_top = workbench.ui_config.ALWAYS_ON_TOP 84 | return workbench.ui_config.ALWAYS_ON_TOP 85 | 86 | window_always_on_top_button = ft.Switch(label='置顶开关', value=True, on_change=lambda _: toggle_always_on_top()) 87 | 88 | # ego开关 89 | def toggle_ego(): 90 | if workbench.SettingsReader.read_option('EGO', 'value') == 'True': 91 | workbench.SettingsReader.set_option('EGO', 'value', 'False') 92 | else: 93 | workbench.SettingsReader.set_option('EGO', 'value', 'True') 94 | 95 | ego_button = ft.Switch(label='ego开关', value=workbench.SettingsReader.read_option('EGO', 'value'), 96 | on_change=lambda _: toggle_ego()) 97 | 98 | # 阵亡重开开关 99 | def toggle_death(): 100 | if workbench.SettingsReader.read_option('DEATH', 'value') == 'True': 101 | workbench.SettingsReader.set_option('DEATH', 'value', 'False') 102 | else: 103 | workbench.SettingsReader.set_option('DEATH', 'value', 'True') 104 | 105 | death_button = ft.Switch(label='阵亡重开', value=workbench.SettingsReader.read_option('DEATH', 'value'), 106 | on_change=lambda _: toggle_death()) 107 | 108 | # 桌宠模式开关 109 | def toggle_pet(): 110 | if workbench.SettingsReader.read_option('OPACITY', 'opacity') == '1': 111 | workbench.SettingsReader.set_option('OPACITY', 'opacity', '0') 112 | workbench.SettingsReader.set_option('OPACITY', 'value', 'True') 113 | else: 114 | workbench.SettingsReader.set_option('OPACITY', 'opacity', '1') 115 | workbench.SettingsReader.set_option('OPACITY', 'value', 'False') 116 | 117 | pet_button = ft.Column( 118 | horizontal_alignment=ft.CrossAxisAlignment.CENTER, 119 | controls=[ 120 | ft.Switch(label='桌宠模式', value=workbench.SettingsReader.read_option('OPACITY', 'value'), 121 | on_change=lambda _: toggle_pet()), 122 | ft.Text( 123 | "—— 设置桌宠请重启 ——", 124 | size=12, 125 | ) 126 | ] 127 | ) 128 | 129 | # 关于 130 | about = ft.Column( 131 | horizontal_alignment=ft.CrossAxisAlignment.CENTER, 132 | controls=[ 133 | ft.Text( 134 | size=13, 135 | weight=ft.FontWeight.W_400, 136 | spans=[ 137 | ft.TextSpan( 138 | "作者: ", 139 | ), 140 | ft.TextSpan( 141 | "协调人", 142 | url="https://github.com/Xie-Tiao", 143 | ), 144 | ft.TextSpan( 145 | " & ", 146 | ), 147 | ft.TextSpan( 148 | "Camreishi", 149 | url="https://github.com/Camreishi", 150 | ), 151 | ] 152 | ), 153 | ft.Text( 154 | spans=[ 155 | ft.TextSpan( 156 | "开源仓库", 157 | ft.TextStyle(size=10, color=workbench.ui_config.RECORD_TEXT_COLOR, weight=ft.FontWeight.W_900), 158 | url="https://github.com/Xie-Tiao/Limbus-Scripts", 159 | ), 160 | ft.TextSpan( 161 | " | ", 162 | ft.TextStyle(weight=ft.FontWeight.BOLD) 163 | ), 164 | ft.TextSpan( 165 | "版本：4.1.0", 166 | ft.TextStyle(size=10, weight=ft.FontWeight.W_900), 167 | ), 168 | ] 169 | ), 170 | ] 171 | ) 172 | 173 | # 设置GUI 174 | view_settings = ft.View( 175 | route="/settings", 176 | bgcolor=ft.colors.GREY_200, 177 | appbar=ft.AppBar( 178 | title=ft.WindowDragArea(ft.Text("O-01-67")), 179 | leading=ft.IconButton(icon=ft.icons.ARROW_BACK, icon_size=20, on_click=switch_page, data="/home"), 180 | leading_width=45, 181 | toolbar_height=45, 182 | ), 183 | padding=0, 184 | controls=[ 185 | ft.Tabs( 186 | selected_index=0, 187 | animation_duration=200, 188 | scrollable=True, 189 | tab_alignment=ft.TabAlignment.CENTER, 190 | expand=True, 191 | tabs=[ 192 | ft.Tab( 193 | # text="工作偏好", 194 | tab_content=ft.Text('工作偏好', width=68, text_align=ft.TextAlign.CENTER), 195 | content=ft.Container( 196 | padding=12, 197 | content=ft.Column( 198 | scroll=ft.ScrollMode.AUTO, 199 | controls=[ 200 | ft.Container( 201 | # 顶部占位 202 | padding=1 203 | ), 204 | language_dropdown, 205 | window_always_on_top_button, 206 | ego_button, 207 | death_button, 208 | ft.Container( 209 | # 底部占位 210 | padding=1 211 | ) 212 | ], 213 | ) 214 | ) 215 | ), 216 | ft.Tab( 217 | # text="敏感信息", 218 | tab_content=ft.Text('敏感信息', width=68, text_align=ft.TextAlign.CENTER), 219 | content=ft.Column( 220 | # scroll=ft.ScrollMode.ADAPTIVE, 221 | controls=[ 222 | ft.Container( 223 | # 顶部占位 224 | padding=1 225 | ), 226 | ft.Container( 227 | padding=10, 228 | content=ft.Column( 229 | controls=[ 230 | pet_button, 231 | ] 232 | ) 233 | ), 234 | ft.Container(expand=1), 235 | ft.Divider(), 236 | about, 237 | ft.Container( 238 | # 底部占位 239 | padding=1 240 | ), 241 | ], 242 | horizontal_alignment=ft.CrossAxisAlignment.CENTER, 243 | ), 244 | ) 245 | ] 246 | ) 247 | 248 | ], 249 | ) 250 | 251 | app_bar = ft.Container( 252 | opacity=workbench.SettingsReader.read_option('OPACITY', 'opacity'), 253 | padding=0, 254 | content=ft.Row( 255 | [ 256 | ft.IconButton( 257 | icon=ft.icons.ADS_CLICK, 258 | icon_color="#ffffff", 259 | on_click=switch_page, 260 | data="/settings", 261 | icon_size=20, 262 | tooltip='设置', 263 | ), 264 | ft.WindowDragArea( 265 | ft.Container( 266 | ft.Text( 267 | "Limbug Clicker", 268 | color="#ffffff", 269 | size=20, 270 | no_wrap=False, 271 | overflow="ellipsis", 272 | ), 273 | ), 274 | expand=True, 275 | ), 276 | ft.IconButton( 277 | icon=ft.icons.CLOSE, 278 | on_click=lambda _: page.window_close(), 279 | icon_color="#ffffff", 280 | icon_size=20, 281 | tooltip='close', 282 | ) 283 | ], 284 | ), 285 | ) 286 | 287 | # 首页GUI 288 | # noinspection SpellCheckingInspection 289 | 290 | assets_path = workbench.PathManager.ASSETS_RELPATH 291 | wich_image_path = os.path.join(assets_path, 'Wich', 'Wich_00000.png') 292 | img_Laetitia = ft.Image( 293 | src=wich_image_path, 294 | height=220, 295 | fit=ft.ImageFit.FIT_HEIGHT, 296 | gapless_playback=True 297 | ) 298 | Laetitia = ft.WindowDragArea( 299 | ft.Container( 300 | alignment=ft.alignment.center, 301 | width=230, 302 | height=230, 303 | on_click=pause_main_work, 304 | tooltip='程序正在运行...', 305 | ink=True, 306 | content=img_Laetitia 307 | )) 308 | 309 | img_Monster = ft.Image( 310 | src=os.path.join(assets_path, 'LaetitiaMinionCrop.webp'), 311 | width=800, 312 | fit=ft.ImageFit.FIT_WIDTH 313 | ) 314 | 315 | Monster = ft.Row( 316 | [ 317 | ft.Container(ft.Text("所", color="#c8c01a", size=60), padding=0, height=300, 318 | alignment=ft.alignment.Alignment(-1, -1)), 319 | ft.Container(ft.Text("以,", color="#c8c01a", size=60), padding=0, height=300, 320 | alignment=ft.alignment.Alignment(1, -0.7)), 321 | ft.Container(ft.Text("她 ", color="#e13317", size=90), padding=0, height=300, 322 | alignment=ft.alignment.center), 323 | ft.Container(ft.Text("想出了这个绝妙的主意！！", color="#482d66", size=30), padding=0, height=300, 324 | width=100, 325 | alignment=ft.alignment.Alignment(-0.5, -0.5)), 326 | img_Monster, 327 | ft.Container(ft.Text("惊喜！！", color="#2f8c02", size=40), padding=10, height=300, width=100, 328 | alignment=ft.alignment.Alignment(-10, -10)), 329 | ft.Container(ft.Text("礼物！！", color="#e13317", size=50), padding=10, height=300, width=100, 330 | alignment=ft.alignment.Alignment(-10, -10)), 331 | ft.Container(bgcolor="#ffffff", height=10, width=1000, alignment=ft.alignment.Alignment(100, 100)) 332 | ], 333 | alignment=ft.MainAxisAlignment.CENTER, 334 | vertical_alignment=ft.CrossAxisAlignment.CENTER, 335 | ) 336 | 337 | # /home 338 | view_home = ft.View( 339 | route="/home", 340 | bgcolor=ft.colors.with_opacity(workbench.SettingsReader.read_option('OPACITY', 'opacity'), 341 | workbench.ui_config.MAIN_COLOR), 342 | horizontal_alignment=ft.CrossAxisAlignment.CENTER, 343 | controls=[ 344 | app_bar, 345 | Laetitia, 346 | Monster 347 | ] 348 | ) 349 | 350 | views = workbench.ui_config.views 351 | views["/settings"] = view_settings 352 | views["/home"] = view_home 353 | page.views.append(views["/home"]) 354 | page.update() 355 | 356 | def Laetitia_Animation(i): 357 | # print(i) 358 | wich_image_path = os.path.join(assets_path, 'Wich', f'Wich_{i:05}.png') 359 | img_Laetitia.src = wich_image_path 360 | try: 361 | Laetitia.update() 362 | except AssertionError: 363 | pass 364 | time.sleep(0.1) 365 | 366 | def animation_thread(pause_event): 367 | idx = 0 368 | while True: 369 | if not pause_event.is_set(): 370 | Laetitia_Animation(idx) 371 | idx += 1 372 | idx = idx % 24 373 | else: 374 | pass 375 | 376 | def main_thread(pause_event): 377 | while True: 378 | if not pause_event.is_set(): 379 | workbench.main_work.main() 380 | else: 381 | pass 382 | 383 | # 创建两个线程 384 | animation_t = threading.Thread(target=animation_thread, args=(pause_event,)) 385 | main_t = threading.Thread(target=main_thread, args=(pause_event,)) 386 | 387 | # 启动线程 388 | animation_t.start() 389 | main_t.start() 390 | 391 | # 等待线程结束 392 | animation_t.join() 393 | main_t.join() 394 | 395 | 396 | if __name__ == '__main__': 397 | # noinspection PyBroadException 398 | try: 399 | ft.app(target=main) 400 | 401 | except Exception: 402 | logging.exception("An error occurred: ") 403 | -------------------------------------------------------------------------------- /models/japan_PP-OCRv3_rec_infer.onnx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/models/japan_PP-OCRv3_rec_infer.onnx -------------------------------------------------------------------------------- /models/korean_PP-OCRv3_rec_infer.onnx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/models/korean_PP-OCRv3_rec_infer.onnx -------------------------------------------------------------------------------- /onnxruntime_providers_shared.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/onnxruntime_providers_shared.dll -------------------------------------------------------------------------------- /opencv_test/center_hole_maker.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy as np 3 | 4 | # Define the scaling factor as constants 5 | SCALING_FACTOR_HEIGHT = 3 / 4 6 | SCALING_FACTOR_WIDTH = 3 / 4 7 | IMAGE_NAME = 'max_button.png' 8 | 9 | 10 | def create_masked_image(image_path, height_factor, width_factor, preserve_center=False): 11 | # Load the image 12 | image = cv2.imread(image_path) 13 | 14 | # Obtain the image dimensions 15 | h, w, channels = image.shape 16 | 17 | # Create a white image of the same dimensions 18 | mask = np.zeros((h, w, channels), np.uint8) if preserve_center else np.ones((h, w, channels), np.uint8) * 255 19 | 20 | # Define your rectangle 21 | start_y, start_x = int(h * (1 - height_factor) / 2), int(w * (1 - width_factor) / 2) 22 | end_y, end_x = int(h * (1 + height_factor) / 2), int(w * (1 + width_factor) / 2) 23 | 24 | # Set rectangle color based on preserve_center 25 | rectangle_color = (255, 255, 255) if preserve_center else (0, 0, 0) 26 | 27 | # Draw a rectangle on the white mask 28 | cv2.rectangle(mask, (start_x, start_y), (end_x, end_y), rectangle_color, -1) 29 | 30 | # Combine the image with the mask 31 | result = cv2.bitwise_and(image, mask) 32 | 33 | # Use cv2.imshow() function to display the image 34 | # cv2.imwrite(IMAGE_NAME, result) 35 | cv2.imshow('Processed Image', result) 36 | cv2.waitKey(0) 37 | cv2.destroyAllWindows() 38 | 39 | 40 | def main(): 41 | image_path = IMAGE_NAME # Replace with your image path 42 | create_masked_image(image_path, height_factor=SCALING_FACTOR_HEIGHT, width_factor=SCALING_FACTOR_WIDTH, 43 | preserve_center=True) 44 | 45 | 46 | if __name__ == "__main__": 47 | main() 48 | -------------------------------------------------------------------------------- /opencv_test/contour_rectangle.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | import cv2 4 | 5 | 6 | def apply_hsl_filter(image, h_range, s_range, l_range): 7 | hls_channels = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 8 | mask = cv2.bitwise_and( 9 | cv2.inRange(hls_channels[0], *h_range), 10 | cv2.inRange(hls_channels[1], *s_range), 11 | cv2.inRange(hls_channels[2], *l_range) 12 | ) 13 | return cv2.bitwise_and(image, image, mask=mask) 14 | 15 | 16 | def find_bounding_boxes(image, threshold): 17 | contours, _ = cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) 18 | bounding_rects = [cv2.boundingRect(c) for c in contours] 19 | sizes = [rect[2] * rect[3] for rect in bounding_rects] 20 | sizes = sorted(sizes, reverse=True) 21 | 22 | threshold_size = sizes[min(threshold - 1, len(sizes) - 1)] 23 | return [ 24 | rect for rect in bounding_rects 25 | if rect[2] * rect[3] >= threshold_size and 0.1 <= rect[2] / rect[3] <= 10 # 添加了新的条件，宽度和高度之间的比例应在 0.1 到 10 之间 26 | ] 27 | 28 | 29 | def draw_rectangles(image, rects, color=(0, 255, 0), thickness=2): 30 | i = 1000 31 | for rect in rects: 32 | save_rectangles(image, rect, i) 33 | i += 1 34 | for rect in rects: 35 | cv2.rectangle(image, rect[:2], (rect[0] + rect[2], rect[1] + rect[3]), color, thickness) 36 | 37 | 38 | def save_rectangles(image, rect, i): 39 | # 保存对应的图像区域到 /output 目录中 40 | x, y, w, h = rect 41 | roi = image[y:y + h, x:x + w] 42 | output_path = os.path.join('output', f'rect_{i}.png') 43 | cv2.imwrite(output_path, roi) 44 | 45 | 46 | def main(): 47 | # Load and pre-process the image 48 | # image = cv2.imread("2-3.png") 49 | # image_filtered = apply_hsl_filter(image, h_range=[12, 25], s_range=[150, 210], l_range=[20, 200]) 50 | image = cv2.imread("origin/3500.png") 51 | image_filtered = apply_hsl_filter(image, h_range=[0, 30], s_range=[0, 90], l_range=[0, 180]) 52 | _, image_binary = cv2.threshold(cv2.cvtColor(image_filtered, cv2.COLOR_BGR2GRAY), 0, 255, cv2.THRESH_OTSU) 53 | 54 | # Detect rectangles and draw them on the image 55 | rectangles = find_bounding_boxes(image_binary, 20) 56 | draw_rectangles(image, rectangles) 57 | 58 | cv2.imshow("Image with rectangles", image) 59 | cv2.waitKey(0) 60 | 61 | 62 | if __name__ == "__main__": 63 | main() 64 | -------------------------------------------------------------------------------- /opencv_test/find_and_draw_rotated_bounding_rectangles.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy as np 3 | 4 | 5 | def extract_and_save_rotated_rect(img, rect): 6 | h, w = img.shape[:2] # 原图像的长和宽 7 | box = np.intp(cv2.boxPoints(rect)) 8 | rect_w, rect_h = round(rect[1][0]), round(rect[1][1]) # 最小外接矩形的宽和高 9 | margin = 0 10 | if rect_w <= rect_h: 11 | x, y = int(box[1][0]), int(box[1][1]) # 旋转中心 12 | M2 = cv2.getRotationMatrix2D((x, y), rect[2], 1) 13 | rotated_image = cv2.warpAffine(img, M2, (w * 2, h * 2)) 14 | y1, y2 = y - margin if y - margin > 0 else 0, y + rect_h + margin + 1 15 | x1, x2 = x - margin if x - margin > 0 else 0, x + rect_w + margin + 1 16 | rotated_rect_img = rotated_image[y1: y2, x1: x2] 17 | 18 | # 保存包含旋转矩形区域的新图像 19 | cv2.imwrite('output_rotated_rect.png', rotated_rect_img) 20 | cv2.imshow('output_rotated_rect.png', rotated_rect_img) 21 | cv2.waitKey(0) 22 | else: 23 | x, y = int(box[2][0]), int(box[2][1]) # 旋转中心 24 | M2 = cv2.getRotationMatrix2D((x, y), rect[2] + 90, 1) 25 | rotated_image = cv2.warpAffine(img, M2, (w * 2, h * 2)) 26 | y1, y2 = y - margin if y - margin > 0 else 0, y + rect_w + margin + 1 27 | x1, x2 = x - margin if x - margin > 0 else 0, x + rect_h + margin + 1 28 | rotated_rect_img = rotated_image[y1: y2, x1: x2] 29 | 30 | return rotated_rect_img 31 | 32 | 33 | def find_min_area_rectangles(image_path): 34 | # 读取图像 35 | image = cv2.imread(image_path) 36 | 37 | h_range = (0, 3) 38 | l_range = (0, 255) 39 | s_range = (0, 255) 40 | h_channel, s_channel, l_channel = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 41 | h_mask = cv2.inRange(h_channel, h_range[0], h_range[1]) 42 | l_mask = cv2.inRange(l_channel, l_range[0], l_range[1]) 43 | s_mask = cv2.inRange(s_channel, s_range[0], s_range[1]) 44 | mask = cv2.bitwise_and(h_mask, cv2.bitwise_and(s_mask, l_mask)) 45 | filtered_image = cv2.bitwise_and(image, image, mask=mask) 46 | 47 | # 执行阈值处理或其他预处理以获取二值图像 48 | _, image_binary = cv2.threshold(cv2.cvtColor(filtered_image, cv2.COLOR_BGR2GRAY), 0, 255, cv2.THRESH_OTSU) 49 | 50 | # 寻找轮廓 51 | contours, _ = cv2.findContours(image_binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) 52 | 53 | # 绘制所有轮廓的最小外接矩形 54 | for contour in contours: 55 | rect = cv2.minAreaRect(contour) 56 | box = cv2.boxPoints(rect) 57 | box = np.intp(box) 58 | 59 | # 绘制旋转矩形 60 | 61 | if 63 < rect[-1] < 66: 62 | print(rect) 63 | # extract_and_save_rotated_rect(image, rect) 64 | cv2.drawContours(image, [box], 0, (0, 255, 0), 2) 65 | 66 | # 显示或保存带有矩形的图像 67 | cv2.imshow("Rotated Bounding Rectangles", image) 68 | cv2.waitKey(0) 69 | cv2.destroyAllWindows() 70 | 71 | 72 | # 使用示例： 73 | # find_min_area_rectangles('output/rect_1000.png') 74 | find_min_area_rectangles("origin/3450.png") 75 | -------------------------------------------------------------------------------- /opencv_test/find_skip_button.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy as np 3 | 4 | 5 | def apply_hsl_filter(image, h_range, s_range, l_range): 6 | hls_channels = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 7 | mask = cv2.bitwise_and( 8 | cv2.inRange(hls_channels[0], *h_range), 9 | cv2.inRange(hls_channels[1], *s_range), 10 | cv2.inRange(hls_channels[2], *l_range) 11 | ) 12 | return cv2.bitwise_and(image, image, mask=mask) 13 | 14 | 15 | def find_bounding_boxes(image, threshold): 16 | contours, _ = cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) 17 | bounding_rects = [cv2.boundingRect(c) for c in contours] 18 | sizes = [rect[2] * rect[3] for rect in bounding_rects] 19 | sizes = sorted(sizes, reverse=True) 20 | 21 | threshold_size = sizes[min(threshold - 1, len(sizes) - 1)] 22 | return [ 23 | rect for rect in bounding_rects 24 | if rect[2] * rect[3] >= threshold_size and 0.1 <= rect[2] / rect[3] <= 10 25 | ] 26 | 27 | 28 | def calculate_similarity(image, template: cv2.typing.MatLike): 29 | # 调整图片大小 30 | target_size = (template.shape[1], template.shape[0]) 31 | image = cv2.resize(image, target_size) 32 | mask = cv2.inRange(image, np.array([0, 0, 0]), np.array([255, 255, 255])) 33 | # 创建ORB特征提取器 34 | orb = cv2.ORB.create(edgeThreshold=0) 35 | 36 | # 从两幅图像中查找关键点和描述符 37 | kp1, des1 = orb.detectAndCompute(image, mask) 38 | kp2, des2 = orb.detectAndCompute(template, mask) 39 | 40 | # 创建Brute Force Matcher 41 | bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=False) # 修改为False，以便返回两个最近的匹配点 42 | 43 | # 使用Matcher匹配描述符 44 | matches = bf.knnMatch(des1, des2, k=2) # 修改为knnMatch，以便返回两个最近的匹配点 45 | 46 | # 应用比例测试，过滤掉明显不匹配的点 47 | good_matches = [] 48 | for m, n in matches: 49 | if m.distance < 0.75 * n.distance: # 如果第一个匹配点的距离小于第二个匹配点的距离的0.75倍，那么它是好的匹配点 50 | good_matches.append(m) 51 | 52 | # 根据好的匹配数返回相似度 53 | return len(good_matches) 54 | 55 | 56 | def main(): 57 | # Load and pre-process the image 58 | image = cv2.imread("3-1.png") 59 | size_list = [960, 540] 60 | 61 | image = cv2.resize(image, [int(x * 0.8) for x in size_list]) 62 | image_filtered = apply_hsl_filter(image, h_range=[12, 25], s_range=[150, 210], l_range=[20, 200]) 63 | _, image_binary = cv2.threshold(cv2.cvtColor(image_filtered, cv2.COLOR_BGR2GRAY), 128, 255, cv2.THRESH_BINARY) 64 | 65 | # Detect rectangles and draw them on the image 66 | rectangles = find_bounding_boxes(image_binary, 12) 67 | 68 | # Load the skip button template 69 | skip_button_template = cv2.imread("skip_button_2.png") 70 | 71 | # Calculate similarity for each rectangle 72 | for rect in rectangles: 73 | x, y, w, h = rect 74 | roi = image[y:y + h, x:x + w] 75 | similarity = calculate_similarity(roi, skip_button_template) 76 | cv2.imshow("12", roi) 77 | print(f"Similarity for rectangle at ({x}, {y}) is {similarity:.4f}") 78 | cv2.waitKey(0) 79 | 80 | 81 | if __name__ == "__main__": 82 | main() 83 | -------------------------------------------------------------------------------- /opencv_test/hls_filter_multi.py: -------------------------------------------------------------------------------- 1 | import base64 2 | import os 3 | import time 4 | 5 | import cv2 6 | import flet as ft 7 | import numpy as np 8 | 9 | # 初始值 10 | H_INIT = [0, 180] 11 | L_INIT = [0, 255] 12 | S_INIT = [0, 255] 13 | THRESH = 36 14 | 15 | image_list = [ 16 | '1-4.png', 17 | '1-6.png', 18 | ] 19 | 20 | 21 | def main(page: ft.Page): 22 | page.window_width = 1700 23 | page.window_height = 1000 24 | 25 | def update_images(_): 26 | for image_update in image_filter_list: 27 | image_update.update_image() 28 | time.sleep(0.1) 29 | page.update() 30 | 31 | h_slider = ft.RangeSlider(min=0, max=180, start_value=H_INIT[0], end_value=H_INIT[1], divisions=181, 32 | label="{value} H", 33 | on_change=update_images) 34 | l_slider = ft.RangeSlider(min=0, max=255, start_value=L_INIT[0], end_value=L_INIT[1], divisions=256, 35 | label="{value} L", 36 | on_change=update_images) 37 | s_slider = ft.RangeSlider(min=0, max=255, start_value=S_INIT[0], end_value=S_INIT[1], divisions=256, 38 | label="{value} S", 39 | on_change=update_images) 40 | factor_x_slider = ft.Slider(min=-3, max=3, value=0, label="{value} x", on_change=update_images) 41 | factor_y_slider = ft.Slider(min=-3, max=3, value=0, label="{value} y", on_change=update_images) 42 | factor_w_slider = ft.Slider(min=-3, max=3, value=1, label="{value} w", on_change=update_images) 43 | factor_h_slider = ft.Slider(min=-3, max=3, value=1, label="{value} h", on_change=update_images) 44 | kernel_size_slider = ft.Slider(min=1, max=31, value=1, divisions=31, label="kernel_size", on_change=update_images) 45 | hls_column = ft.Column(width=1700, height=900, scroll=ft.ScrollMode.AUTO) 46 | 47 | def str_to_int(value): 48 | return round(float(value)) 49 | 50 | def find_bounding_boxes(image, threshold): 51 | contours, _ = cv2.findContours(image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) 52 | bounding_rects = [cv2.boundingRect(c) for c in contours] 53 | sizes = [rect[2] * rect[3] for rect in bounding_rects] 54 | sizes = sorted(sizes, reverse=True) 55 | 56 | threshold_size = sizes[min(threshold - 1, len(sizes) - 1)] 57 | return [ 58 | rect for rect in bounding_rects 59 | if rect[2] * rect[3] >= threshold_size and 0.1 <= rect[2] / rect[3] <= 10 60 | # 添加了新的条件，宽度和高度之间的比例应在 0.1 到 10 之间 61 | ] 62 | 63 | def rectangles_offset(rectangles, image, x_offset_factor=0, y_offset_factor=0, width_scale_factor=1, 64 | height_scale_factor=1): 65 | # 获取图像的宽度和高度 66 | image_width = image.shape[1] 67 | image_height = image.shape[0] 68 | 69 | rectangles_list = [(max(0, round(x + w * x_offset_factor)), # 确保x坐标不小于0 70 | max(0, round(y + h * y_offset_factor)), # 确保y坐标不小于0 71 | min(image_width, round(w * width_scale_factor)), # 确保宽度不超过图像宽度 72 | min(image_height, round(h * height_scale_factor))) # 确保高度不超过图像高度 73 | for x, y, w, h in rectangles] 74 | 75 | return rectangles_list 76 | 77 | def convert_b64(image_cv2): 78 | encode_img = cv2.imencode('.jpg', image_cv2) 79 | b64_img = base64.b64encode(encode_img[1]).decode('utf-8') 80 | return b64_img 81 | 82 | class ImageFilter: 83 | def __init__(self, image_path): 84 | self.image_path = image_path 85 | self.original_image = cv2.imread(image_path) 86 | self.image_show = ft.Image(src_base64=convert_b64(self.original_image), width=800) 87 | self.image_output = ft.Image(src_base64=convert_b64(self.original_image), width=800) 88 | self.mask = np.zeros_like(self.original_image) 89 | hls_column.controls.append(ft.Row(controls=[self.image_show, self.image_output])) 90 | 91 | def apply_hsl_filter(self, image, h_range, s_range, l_range): 92 | h_channel, s_channel, l_channel = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 93 | h_mask = cv2.inRange(h_channel, h_range[0], h_range[1]) 94 | s_mask = cv2.inRange(s_channel, s_range[0], s_range[1]) 95 | l_mask = cv2.inRange(l_channel, l_range[0], l_range[1]) 96 | self.mask = cv2.bitwise_and(h_mask, cv2.bitwise_and(s_mask, l_mask)) 97 | 98 | # 对mask进行闭运算 99 | kernel_size = str_to_int(kernel_size_slider.value) 100 | kernel = np.ones((kernel_size, kernel_size), np.uint8) 101 | self.mask = cv2.morphologyEx(self.mask, cv2.MORPH_CLOSE, kernel) 102 | # 然后使用闭运算后的掩模来过滤图像 103 | filtered_image = cv2.bitwise_and(image, image, mask=self.mask) 104 | print( 105 | f'{tuple(h_range)},\n{tuple(s_range)},\n{tuple(l_range)}' 106 | ) 107 | # print(f'H:{h_range}S:{s_range}L:{l_range}') 108 | # print(f'h_range={h_range}, s_range={s_range}, l_range={l_range}') 109 | try: 110 | print( 111 | f'({round(factor_x_slider.value, 2)}, {round(factor_y_slider.value, 2)}, {round(factor_w_slider.value, 2)}, {round(factor_h_slider.value, 2)})' 112 | ) 113 | except NameError: 114 | pass 115 | 116 | print(f'\'kernel_size\': {str_to_int(kernel_size_slider.value)},') 117 | 118 | return filtered_image 119 | 120 | def save_rectangles(self, image, rect, i): 121 | # 保存对应的图像区域到 /output 目录中 122 | x, y, w, h = rect 123 | roi = image[y:y + h, x:x + w] 124 | output_path = os.path.join('output', f'{self.image_path}rect_{i}.png') 125 | cv2.imwrite(output_path, roi) 126 | 127 | def draw_rectangles(self, image, rects, color=(255, 255, 0), thickness=2): 128 | # pass 129 | 130 | # image = image_binary 131 | i = 1000 132 | for rect in rects: 133 | self.save_rectangles(image, rect, i) 134 | i += 1 135 | for rect in rects: 136 | cv2.rectangle(image, rect[:2], (rect[0] + rect[2], rect[1] + rect[3]), color, thickness) 137 | self.image_output.src_base64 = convert_b64(image) 138 | 139 | def update_image(self): 140 | 141 | h_range = [str_to_int(h_slider.start_value), str_to_int(h_slider.end_value)] 142 | s_range = [str_to_int(s_slider.start_value), str_to_int(s_slider.end_value)] 143 | l_range = [str_to_int(l_slider.start_value), str_to_int(l_slider.end_value)] 144 | filtered_image = self.apply_hsl_filter(self.original_image, h_range, s_range, l_range) 145 | self.image_show.src_base64 = convert_b64(filtered_image) 146 | 147 | image = self.original_image.copy() 148 | # image_filtered = apply_hsl_filter(image, h_range=h_range, s_range=s_range, l_range=l_range) 149 | # _, image_binary = cv2.threshold(cv2.cvtColor(image_filtered, cv2.COLOR_BGR2GRAY), 0, 255, cv2.THRESH_OTSU) 150 | 151 | # Detect rectangles and draw them on the image 152 | rectangles = find_bounding_boxes(self.mask, THRESH) 153 | rectangles_offset_list = rectangles_offset( 154 | rectangles, 155 | image, 156 | factor_x_slider.value, 157 | factor_y_slider.value, 158 | factor_w_slider.value, 159 | factor_h_slider.value, 160 | ) 161 | # draw_rectangles_rotated(image, image_binary) 162 | self.draw_rectangles(image, rectangles_offset_list) 163 | 164 | # images_processor = ImageProcessor(page, ["path/to/image1.png", "path/to/image2.png"], [0, 180], [0, 255], 165 | # [0, 255]) 166 | 167 | image_filter_list = [] 168 | for image_input in image_list: 169 | image_filter = ImageFilter(image_input) 170 | image_filter_list.append(image_filter) 171 | 172 | hls_column.controls.extend([ 173 | h_slider, 174 | l_slider, 175 | s_slider, 176 | factor_x_slider, 177 | factor_y_slider, 178 | factor_w_slider, 179 | factor_h_slider, 180 | kernel_size_slider, 181 | ]) 182 | 183 | page.add(hls_column) 184 | 185 | 186 | ft.app(target=main) 187 | -------------------------------------------------------------------------------- /opencv_test/hsl_image_filter.py: -------------------------------------------------------------------------------- 1 | import base64 2 | import os 3 | import time 4 | 5 | import cv2 6 | import flet as ft 7 | import numpy as np 8 | 9 | ''' 10 | gear: H:[15, 40]S:[30, 180]:L[40, 190] 11 | skip: H12-25 S:150-210 L:20-200 12 | encounters_flag: H:[10, 40]S:[50, 130]:L[30, 140] 13 | yes_button: H:[12, 18]S:[100, 185]L:[30, 125] 14 | high very high: H:[18, 30]S:[40, 170]L:[20, 255] 15 | 16 | 17 | 'back_button.png': [ 18 | [9, 21], 19 | [10, 110], 20 | [40, 230] 21 | 22 | 23 | ''' 24 | image_path = "2-3.png" # Replace with the actual path to your image 25 | thresh = 36 26 | 27 | 28 | def convert_b64(image_cv2): 29 | encode_img = cv2.imencode('.jpg', image_cv2) 30 | b64_img = base64.b64encode(encode_img[1]).decode('utf-8') 31 | return b64_img 32 | 33 | 34 | def main(page: ft.Page): 35 | page.window_width = 1700 36 | page.window_height = 900 37 | # image_path = "2-3.png" # Replace with the actual path to your image 38 | original_image = cv2.imread(image_path) 39 | 40 | def update_image(_): 41 | def str_to_int(value): 42 | return round(float(value)) 43 | 44 | h_range = [str_to_int(h_slider.start_value), str_to_int(h_slider.end_value)] 45 | s_range = [str_to_int(s_slider.start_value), str_to_int(s_slider.end_value)] 46 | l_range = [str_to_int(l_slider.start_value), str_to_int(l_slider.end_value)] 47 | filtered_image = apply_hsl_filter(original_image, h_range, s_range, l_range) 48 | image_show.src_base64 = convert_b64(filtered_image) 49 | image_show.update() 50 | 51 | image = original_image.copy() 52 | image_filtered = apply_hsl_filter(image, h_range=h_range, s_range=s_range, l_range=l_range) 53 | _, image_binary = cv2.threshold(cv2.cvtColor(image_filtered, cv2.COLOR_BGR2GRAY), 0, 255, cv2.THRESH_OTSU) 54 | 55 | # Detect rectangles and draw them on the image 56 | rectangles = find_bounding_boxes(image_binary, thresh) 57 | rectangles_offset_list = rectangles_offset( 58 | rectangles, 59 | factor_x_slider.value, 60 | factor_y_slider.value, 61 | factor_w_slider.value, 62 | factor_h_slider.value, 63 | ) 64 | # draw_rectangles_rotated(image, image_binary) 65 | draw_rectangles(image, rectangles_offset_list, image_binary) 66 | 67 | def find_bounding_boxes(image, threshold): 68 | contours, _ = cv2.findContours(image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) 69 | bounding_rects = [cv2.boundingRect(c) for c in contours] 70 | sizes = [rect[2] * rect[3] for rect in bounding_rects] 71 | sizes = sorted(sizes, reverse=True) 72 | 73 | threshold_size = sizes[min(threshold - 1, len(sizes) - 1)] 74 | return [ 75 | rect for rect in bounding_rects 76 | if rect[2] * rect[3] >= threshold_size and 0.1 <= rect[2] / rect[3] <= 10 77 | # 添加了新的条件，宽度和高度之间的比例应在 0.1 到 10 之间 78 | ] 79 | 80 | def rectangles_offset(rectangles, x_offset_factor=0, y_offset_factor=0, width_scale_factor=1, 81 | height_scale_factor=1): 82 | image_width, image_height = 1920, 1080 83 | 84 | rectangles_list = [(max(0, round(x + w * x_offset_factor)), # 确保x坐标不小于0 85 | max(0, round(y + h * y_offset_factor)), # 确保y坐标不小于0 86 | min(image_width, round(w * width_scale_factor)), # 确保宽度不超过图像宽度 87 | min(image_height, round(h * height_scale_factor))) # 确保高度不超过图像高度 88 | for x, y, w, h in rectangles] 89 | 90 | return rectangles_list 91 | 92 | def apply_hsl_filter(image, h_range, s_range, l_range): 93 | h_channel, s_channel, l_channel = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 94 | h_mask = cv2.inRange(h_channel, h_range[0], h_range[1]) 95 | s_mask = cv2.inRange(s_channel, s_range[0], s_range[1]) 96 | l_mask = cv2.inRange(l_channel, l_range[0], l_range[1]) 97 | mask = cv2.bitwise_and(h_mask, cv2.bitwise_and(s_mask, l_mask)) 98 | filtered_image = cv2.bitwise_and(image, image, mask=mask) 99 | print( 100 | f'{tuple(h_range)},\n{tuple(s_range)},\n{tuple(l_range)}' 101 | ) 102 | # print(f'H:{h_range}S:{s_range}L:{l_range}') 103 | # print(f'h_range={h_range}, s_range={s_range}, l_range={l_range}') 104 | try: 105 | print( 106 | f'({round(factor_x_slider.value, 2)}, {round(factor_y_slider.value, 2)}, {round(factor_w_slider.value, 2)}, {round(factor_h_slider.value, 2)})' 107 | ) 108 | except NameError: 109 | pass 110 | 111 | return filtered_image 112 | 113 | def save_rectangles(image, rect, i): 114 | # 保存对应的图像区域到 /output 目录中 115 | x, y, w, h = rect 116 | roi = image[y:y + h, x:x + w] 117 | output_path = os.path.join('output', f'rect_{i}.png') 118 | cv2.imwrite(output_path, roi) 119 | 120 | def draw_rectangles(image, rects, image_binary, color=(255, 255, 0), thickness=2): 121 | # pass 122 | time.sleep(0.1) 123 | # image = image_binary 124 | i = 1000 125 | for rect in rects: 126 | save_rectangles(image, rect, i) 127 | i += 1 128 | for rect in rects: 129 | cv2.rectangle(image, rect[:2], (rect[0] + rect[2], rect[1] + rect[3]), color, thickness) 130 | image_output.src_base64 = convert_b64(image) 131 | image_output.update() 132 | 133 | def draw_rectangles_rotated(image, image_binary): 134 | # 寻找轮廓 135 | contours, _ = cv2.findContours(image_binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) 136 | 137 | # 绘制所有轮廓的最小外接矩形 138 | for contour in contours: 139 | rect = cv2.minAreaRect(contour) 140 | box = cv2.boxPoints(rect) 141 | box = np.intp(box) 142 | 143 | # 绘制旋转矩形 144 | 145 | if 63 < rect[-1] < 66: 146 | print(rect) 147 | # extract_and_save_rotated_rect(image, rect) 148 | cv2.drawContours(image, [box], 0, (0, 255, 0), 2) 149 | 150 | image_output.src_base64 = convert_b64(image) 151 | image_output.update() 152 | 153 | # H:[0, 30]S:[0, 90]L:[0, 180] 154 | h_range = [0, 180] 155 | s_range = [0, 255] 156 | l_range = [0, 255] 157 | image_show = ft.Image(src_base64=convert_b64(original_image), width=800) 158 | image_output = ft.Image(src_base64=convert_b64(original_image), width=800) 159 | 160 | filtered_image = apply_hsl_filter(original_image, h_range, s_range, l_range) 161 | image_show.src_base64 = convert_b64(filtered_image) 162 | h_slider = ft.RangeSlider(min=0, max=180, start_value=h_range[0], end_value=h_range[1], divisions=181, 163 | label="{value} H", 164 | on_change=update_image) 165 | s_slider = ft.RangeSlider(min=0, max=255, start_value=s_range[0], end_value=s_range[1], divisions=256, 166 | label="{value} S", 167 | on_change=update_image) 168 | l_slider = ft.RangeSlider(min=0, max=255, start_value=l_range[0], end_value=l_range[1], divisions=256, 169 | label="{value} L", 170 | on_change=update_image) 171 | factor_x_slider = ft.Slider(min=-3, max=3, value=0, label="{value} x", on_change=update_image) 172 | factor_y_slider = ft.Slider(min=-3, max=3, value=0, label="{value} y", on_change=update_image) 173 | factor_w_slider = ft.Slider(min=-3, max=3, value=1, label="{value} w", on_change=update_image) 174 | factor_h_slider = ft.Slider(min=-3, max=3, value=1, label="{value} h", on_change=update_image) 175 | 176 | page.add( 177 | ft.Column( 178 | horizontal_alignment=ft.CrossAxisAlignment.CENTER, 179 | controls=[ 180 | ft.Row(controls=[image_show, image_output]), 181 | h_slider, 182 | s_slider, 183 | l_slider, 184 | factor_x_slider, 185 | factor_y_slider, 186 | factor_w_slider, 187 | factor_h_slider, 188 | ], 189 | ) 190 | ) 191 | 192 | 193 | ft.app(target=main) 194 | -------------------------------------------------------------------------------- /opencv_test/orb_test.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy as np 3 | 4 | query_img = cv2.imread('skip_button.png') # 查询图像 5 | train_img = cv2.imread('skip_button.png') # 训练图像 6 | query_img_bw = cv2.cvtColor(query_img, cv2.COLOR_BGR2GRAY) # 转换为灰度图 7 | train_img_bw = cv2.cvtColor(train_img, cv2.COLOR_BGR2GRAY) # 转换为灰度图 8 | orb = cv2.ORB.create(edgeThreshold=0) # 初始化ORB检测器 9 | queryKeypoints, queryDescriptors = orb.detectAndCompute(query_img_bw, None) # 在查询图像中找到关键点和描述符 10 | trainKeypoints, trainDescriptors = orb.detectAndCompute(train_img_bw, None) # 在训练图像中找到关键点和描述符 11 | print("queryDescriptors shape:", queryDescriptors.shape) # 打印查询图像的描述符的形状 12 | print("trainDescriptors shape:", trainDescriptors.shape) # 打印训练图像的描述符的形状 13 | queryDescriptors = queryDescriptors.astype(np.float32) # 转换查询图像的描述符的数据类型为浮点数 14 | trainDescriptors = trainDescriptors.astype(np.float32) # 转换训练图像的描述符的数据类型为浮点数 15 | matcher = cv2.BFMatcher() # 创建暴力匹配器 16 | matches = matcher.match(queryDescriptors, trainDescriptors) # 匹配两组描述符 17 | final_img = cv2.drawMatches(query_img, queryKeypoints, train_img, trainKeypoints, matches[:20], None) # 绘制前20个最佳匹配 18 | final_img = cv2.resize(final_img, (1000, 650)) # 调整图像大小 19 | cv2.imshow("Matches", final_img) # 显示匹配结果 20 | cv2.waitKey(3000) # 等待3秒 21 | -------------------------------------------------------------------------------- /opencv_test/subtraction_operation.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | 3 | cap = cv2.VideoCapture('1-1.mkv') 4 | 5 | # Read the first frame 6 | ret, frame1 = cap.read() 7 | i = 1000 8 | while cap.isOpened(): 9 | i += 1 10 | ret, frame2 = cap.read() 11 | # if i % 50 != 0: 12 | # continue 13 | # Read the next frame 14 | 15 | if not ret: 16 | break 17 | 18 | # Calculate the absolute difference between frames 19 | # diff = cv2.absdiff(frame1, frame2) 20 | cv2.imwrite(f'output/{i}.png', frame2) 21 | 22 | # Display the difference 23 | # cv2.imshow('diff', diff) 24 | # 25 | # # Press 'q' to quit 26 | # if cv2.waitKey(1) & 0xFF == ord('q'): 27 | # break 28 | 29 | # Now update frame1 to be the new frame2 30 | frame1 = frame2 31 | 32 | cap.release() 33 | cv2.destroyAllWindows() 34 | -------------------------------------------------------------------------------- /pack.bat: -------------------------------------------------------------------------------- 1 | @echo off 2 | 3 | @REM 主目录的图片和记录和OCR模型和设置ini 4 | set "source1=assets" 5 | set "source2=log" 6 | set "source3=models" 7 | set "source4=settings.ini" 8 | 9 | set "destination1=dist\main\_internal" 10 | 11 | xcopy /s /i "%source1%" "%destination1%\%source1%" 12 | xcopy /s /i "%source2%" "%destination1%\%source2%" 13 | xcopy /s /i "%source3%" "%destination1%\%source3%" 14 | copy /y "%source4%" "%destination1%" 15 | 16 | @REM 工作区 17 | set "source5=workbench\choices_dict.json" 18 | set "source6=workbench\worklist.json" 19 | 20 | set "destination2=dist\main\_internal\workbench\" 21 | 22 | xcopy /s /i "%source5%" "%destination2%" 23 | xcopy /s /i "%source6%" "%destination2%" 24 | 25 | @REM OCR的一个警告dll 26 | set "source7=onnxruntime_providers_shared.dll" 27 | set "destination3=dist\main\_internal\onnxruntime\capi" 28 | 29 | copy /y "%source7%" "%destination3%" 30 | 31 | @REM OCR的依赖 32 | if exist D:\anaconda ( 33 | set "anaconda_folder=D:\anaconda" 34 | ) else ( 35 | set "anaconda_folder=D:\Anaconda3" 36 | ) 37 | 38 | set "source8=%anaconda_folder%\envs\py310\Lib\site-packages\rapidocr_onnxruntime\models" 39 | set "source9=%anaconda_folder%\envs\py310\Lib\site-packages\rapidocr_onnxruntime\config.yaml" 40 | set "destination4=dist\main\_internal\rapidocr_onnxruntime" 41 | 42 | xcopy /s /i "%source8%" "%destination4%\models" 43 | copy /y "%source9%" "%destination4%" 44 | 45 | pause -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | flet~=0.19.0 2 | opencv-python~=4.9.0.80 3 | numpy~=1.26.3 4 | colorlog~=6.8.2 5 | Pillow~=10.0.1 6 | rapidocr-onnxruntime~=1.3.11 7 | thefuzz~=0.22.1 8 | pyautogui~=0.9.54 -------------------------------------------------------------------------------- /settings.ini: -------------------------------------------------------------------------------- 1 | [Language] 2 | current = jp 3 | 4 | [Shortcut] 5 | shortcut1 = P 6 | shortcut2 = Enter 7 | 8 | [EGO] 9 | value = True 10 | 11 | [DEATH] 12 | value = True 13 | 14 | [OPACITY] 15 | opacity = 1 16 | value = False 17 | 18 | -------------------------------------------------------------------------------- /test/Snipaste_2024-02-25_14-20-24.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/test/Snipaste_2024-02-25_14-20-24.png -------------------------------------------------------------------------------- /test/Snipaste_2024-02-26_23-00-27.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/test/Snipaste_2024-02-26_23-00-27.png -------------------------------------------------------------------------------- /test/pp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Xie-Tiao/Limbus-Scripts/e5a12ed5c979bdf1b8d814987273ea3716b11358/test/pp.png -------------------------------------------------------------------------------- /text_test/get_choice_json.py: -------------------------------------------------------------------------------- 1 | input_data = """ 2 | Ardor Blossom Moth 3 | 4 | [1]/Reach out./손을 뻗는다./手を伸ばす。 5 | Spiral of Contempt 6 | 7 | [2]/Avert your eyes./눈을 돌린다./目を背ける。 8 | Rising Ashes 9 | 10 | [1]/Walk into the mist./안개 속으로 걸어 들어간다./霧の中に入っていく。 11 | Nymph 12 | 13 | [1]/Accept blood./피를 받는다./血を受ける。 14 | Wailing Coffin 15 | 16 | [1]/Open the coffin./관을 연다./棺を開ける。 17 | Paper Chairman 18 | 19 | [2]/Shake your head./거절한다./拒否する。 20 | Sunset Wayfarer 21 | 22 | [1]/Take a break./잠시 쉬어간다./ちょっと休んでいく。 23 | Hurting Teddy Bear 24 | 25 | [1]/Remove the nails./못을 뺀다./釘を抜く。 26 | Skin Prophet 27 | 28 | [1]/Snuff out the candles./촛불을 끈다./蝋燭を消す。 29 | My Form Empties 30 | 31 | [2]/Take the brass ring./귀를 기울인다./真鍮の指輪を摘まむ。 32 | Drifting Fox 33 | 34 | [2]/Pet the fox./쓰다듬는다./撫でる。 35 | So That No One Will Cry 36 | 37 | [1]/Remove the doll’s talismans./인형에 붙어있는 부적을 뗀다./人形に付いているお札を剥がす。 38 | Brazen Bull 39 | 40 | [1]/Give water./물을 준다./水を与える。 41 | Fairy Gentleman 42 | 43 | [2]/Shake your head./고개를 젓는다./首を横に振る。 44 | Heavenly Executor's Scribe 45 | 46 | [1]/Read the tablet./석판을 읽는다./石版を読む。 47 | Sign of Roses 48 | 49 | [1]/Pick a rose./장미를 딴다./薔薇を手折る。 50 | Ambling Pearl 51 | 52 | [1]/Sample the green substance./녹색물질을 담는다./緑色の物質を掬う。 53 | Drenched Gossypium 54 | 55 | [1]/Approach it./다가간다./近寄る。 56 | Wayward Passenger 57 | 58 | [1]/Point the direction it should go./가야할 방향을 손으로 알려준다./進むべき方向を指し示す。 59 | Lost Mind 60 | 61 | [1]/Reach out to grab its hand./팔을 뻗어 손을 잡는다./腕を伸ばして手を掴む。 62 | Monkey Tree 63 | 64 | [2]/Snap the twig./가지를 꺾어간다./枝を折る。 65 | Blubbering Toad 66 | 67 | [2]/Sit and wait./차분히 앉아서 기다린다./ゆっくり座って待つ。 68 | Hole-in-the-Man 69 | 70 | [1]/Reach out to grab its hand./다가간다./近寄る。 71 | Stuck In Heaven 72 | 73 | [1]/Close your eyes./눈을 감는다./目を閉じる。 74 | Blue-ish Star 75 | 76 | [1]/Forward./나아간다./進む。 77 | Spider of Marriage 78 | 79 | [1]/Pick a flower./ 꽃 하나를 따간다./花を一本持っていく。 80 | Steam Transport Machine 81 | 82 | [1]/Order it to carry luggage./짐을 옮기라고 명령한다./荷物を運べと命令する。 83 | Dreaming Electric Sheep 84 | 85 | [1]/Cut the cables./케이블을 끊는다./ケーブルを切る。 86 | Shock Centipede 87 | 88 | [1]/Press the lightning-shaped button./전기모양 버튼을 누른다./電気の形をしたボタンを押す。 89 | kqe-1j-23 90 | 91 | [1]/Write [Hello]./안녕이라고 적는다./こんにちはと打つ。 92 | [1]/Ask for an explanation of the “town”./마을에 대해 설명해달라고 적는다./町について説明してくれと打つ。 93 | [1]/Confess the truth./솔직하게 대답한다./正直に答える。 94 | Will You Play? 95 | 96 | [2]/Play paper./보를 낸다./パーを出す。 97 | All-Around Cleaner 98 | 99 | [2]/You are not special./너는 특별하지 않다./君は特別じゃない。 100 | Rose Hunter 101 | 102 | [1]/Tell the truth./사실대로 말한다./正直に言う。 103 | Forsaken Employee 104 | 105 | [1]/Cut the ring./끊는다./切る。 106 | Faelantern 107 | 108 | [2]/Move on without resting./쉬지 않고 계속 나아간다./休まずに進み続ける。 109 | Centipede Apostle 110 | 111 | [2]/Take one of the prayer books from its body./몸에 있는 기도서 중 하나를 떼어온다./身体に付いてる祈祷書を一つ取ってくる。 112 | Pagoda Veneration 113 | 114 | [1]/Place a stone over the tower./돌탑위에 돌을 하나 올린다./石塔の上に石を一つ載せる。 115 | Fairy-Long-Legs 116 | 117 | [2]/Weather the rain and leave the place./비를 맞으며 이곳을 벗어난다./雨に降られながらここを離れる。 118 | Dimensional Oxidation Variant 119 | 120 | [1]/Hit the switch./스위치를 누른다./スイッチを押す。 121 | [2]/Leave the room./이대로 방을 나간다./このまま部屋を出る。 122 | Der Schütze 123 | 124 | [1]/Tell the shooter to look at the pendant on its neck./사수 목에 걸려있는 팬던트를 보라고 한다./射手の首に掛かっている ペンダントを見ろという。 125 | Overdue Assignments 126 | 127 | [1]/Say that you haven't put off any./없다고 한다./無いと言う。 128 | Hydra 129 | 130 | [1]/Accept the surgery./시술을 받는다./施術を受ける。 131 | Highway Devotee 132 | 133 | [1]/Go back the way you came instead of taking the main road./큰 도로로 가지 않고 왔던 길로 되돌아 나간다./大きな道路に行かずに、来た道へ引き返す。 134 | Chattering Teeth 135 | 136 | [3]/Choose the deranged skull./정신나간 해골을 선택한다./イカれた骸骨を選ぶ。 137 | Four-hundred Roses 138 | 139 | [2]/Break the spring's entryway to let more blood out./샘물의 입구를 부숴 더 넓혀 피를 더 많이 마시게 한다./湧き水の入口を壊してさらに広げ、血をより沢山飲ませる。 140 | Centaur 141 | 142 | [1]/Pull out the intravenous line on its body./몸과 연결된 링거를 뽑는다./身体と繋がっている点滴を抜く。 143 | Smokey Old Man 144 | 145 | [1]/Say that you're willing to hear the stories./이야기를 듣겠다고 한다./話を聞くと言う。 146 | [1]/Take the painting./그림을 가져간다./絵を持っていく。 147 | Tomorrow's Expression 148 | 149 | [2]/Don't make any expression./아무 표정도 짓지 마./何の表情も浮かべるな。 150 | Funeral of a Dying Butterfly 151 | 152 | [1]/Tell the truth./사실대로 말한다./正直に言う。 153 | Children in the Flask 154 | 155 | [1]/Comfort the pink droplet./분홍 물방울을 위로한다./桃色の雫を慰める。 156 | Star Luminary 157 | 158 | [2]/Agree that they are stars./별이 맞다고 한다./星で合ってると言う。 159 | 4th Front of the Smoke War 160 | 161 | [1]/Sneak up and remove a part of the wire./몰래 다가가 철조망 일부를 떼어낸다./こっそり近づいて鉄条網の一部を取り外す。 162 | Heavenly Commander's Throne 163 | 164 | [3]/Don't command anything./그 무엇도 지시하지 않는다./いかなることも指示しない。 165 | Sleepyhead 166 | 167 | [1]/Fill it with a Sinner's blood./수감자의 피를 줘서 채운다./囚人の血を与えて満たす。 168 | Golden Grip 169 | 170 | [2]/Hug and shake the giant body./거대한 몸을 안아 악수한다./巨大な手を抱いて握手する。 171 | Drunkard 172 | 173 | [2]/I don't./좋아하지 않는다./好きじゃない。 174 | Time Duck 175 | 176 | [2]/A rabbit./토끼다./ウサギだ。 177 | Dimensional Orbit Stabilizer 178 | 179 | [2]/I pity the one that binds./묶여져버린 것이 불쌍하다./縛られてしまったものが可哀想だ。 180 | Tomb of Bone 181 | 182 | [1]/Search to find where the voice is coming from./목소리의 위치를 찾는다./声の出る場所を探す。 183 | Sleeping Bag of Olden Days 184 | 185 | [1]/Pick up a respirator and put it in its mouth./바닥에 놓여져있는 호흡기를 입에 물어준다./床に置かれてる呼吸器を口にあてがう。 186 | Bound King 187 | 188 | [1]/... Bandages./이것은 붕대이다./これは包帯だ。 189 | Handshake of Handshakes 190 | 191 | [2]/Push the hand away./손을 뿌리친다./手を振り払う。 192 | Dream-Devouring Siltcurrent 193 | 194 | [1]/Say that you will sink together./같이 내려간다고 한다./一緒に降りると言う。 195 | Portrait of a Certain Day 196 | 197 | [1]/Say that you can't see it well./보이지 않는다고 답한다./見えないと言う。 198 | Broken Wings 199 | 200 | [2]/Leave./그 자리를 떠난다./その場から離れる。 201 | Cyclops 202 | 203 | [1]/Tell the truth./사실대로 말한다./正直に言う。 204 | Clockwork-time Roly-poly 205 | 206 | [2]/Push it further./더욱 젖혀버린다./もっと傾けてしまう。 207 | Explorer on a Bereaved Road 208 | 209 | [2]/East, to where the warning hand points./경고하는 손짓의 동쪽으로./警告しているハンドサインの東へ。 210 | [1]/Investigate./조사해본다./調査してみる。 211 | Resident of Metropolaris 212 | 213 | [2]/Ask to shake hands./악수를 청한다./握手を求める。 214 | [1]/Try to shake its hands anyway./그럼에도 악수를 청한다./だが、握手を求める 215 | """ 216 | 217 | # Split the input data into individual lines 218 | lines = input_data.strip().split("\n") 219 | 220 | # Initialize an empty list to store the Japanese phrases 221 | jp_phrases = [] 222 | en_phrases = [] 223 | kr_phrases = [] 224 | 225 | # Iterate over each line 226 | for line in lines: 227 | # Split the line by "/" to extract the Japanese phrase 228 | parts = line.split("/") 229 | if len(parts) >= 3: 230 | jp_phrase = parts[-1].strip() 231 | en_phrase = parts[-3].strip() 232 | kr_phrase = parts[-2].strip() 233 | en_phrases.append(en_phrase) 234 | jp_phrases.append(jp_phrase) 235 | kr_phrases.append(kr_phrase) 236 | 237 | choices_dict = { 238 | 'en': en_phrases, 239 | 'jp': jp_phrases, 240 | 'kr': kr_phrases 241 | } 242 | 243 | import json 244 | 245 | with open('choices_dict.json', 'w', encoding='utf-8') as f: 246 | json.dump(choices_dict, f, ensure_ascii=False, indent=4) 247 | -------------------------------------------------------------------------------- /text_test/the_fuss_test.py: -------------------------------------------------------------------------------- 1 | from thefuzz import process 2 | 3 | choices = [ 4 | "手を伸ばす。", 5 | "目を背ける。", 6 | "霧の中に入っていく。", 7 | "血を受ける。", 8 | "棺を開ける。", 9 | "拒否する。", 10 | "ちょっと休んでいく。", 11 | "釘を抜く。", 12 | "蝋燭を消す。", 13 | "真鍮の指輪を摘まむ。", 14 | "撫でる。", 15 | "人形に付いているお札を剥がす。", 16 | "水を与える。", 17 | "首を横に振る。", 18 | "石版を読む。", 19 | "薔薇を手折る。", 20 | "緑色の物質を掬う。", 21 | "近寄る。", 22 | "進むべき方向を指し示す。", 23 | "腕を伸ばして手を掴む。", 24 | "枝を折る。", 25 | "ゆっくり座って待つ。", 26 | "近寄る。", 27 | "目を閉じる。", 28 | "進む。", 29 | "花を一本持っていく。", 30 | "荷物を運べと命令する。", 31 | "ケーブルを切る。", 32 | "電気の形をしたボタンを押す。", 33 | "こんにちはと打つ。", 34 | "町について説明してくれと打つ。", 35 | "正直に答える。", 36 | "パーを出す。", 37 | "君は特別じゃない。", 38 | "正直に言う。", 39 | "切る。", 40 | "休まずに進み続ける。", 41 | "身体に付いてる祈祷書を一つ取ってくる。", 42 | "石塔の上に石を一つ載せる。", 43 | "雨に降られながらここを離れる。", 44 | "スイッチを押す。", 45 | "このまま部屋を出る。", 46 | "射手の首に掛かっている ペンダントを見ろという。", 47 | "無いと言う。", 48 | "施術を受ける。", 49 | "大きな道路に行かずに、来た道へ引き返す。", 50 | "イカれた骸骨を選ぶ。", 51 | "湧き水の入口を壊してさらに広げ、血をより沢山飲ませる。", 52 | "身体と繋がっている点滴を抜く。", 53 | "話を聞くと言う。", 54 | "絵を持っていく。", 55 | "何の表情も浮かべるな。", 56 | "正直に言う。", 57 | "桃色の雫を慰める。", 58 | "星で合ってると言う。", 59 | "こっそり近づいて鉄条網の一部を取り外す。", 60 | "いかなることも指示しない。", 61 | "囚人の血を与えて満たす。", 62 | "巨大な手を抱いて握手する。", 63 | "好きじゃない。", 64 | "ウサギだ。", 65 | "縛られてしまったものが可哀想だ。", 66 | "声の出る場所を探す。", 67 | "床に置かれてる呼吸器を口にあてがう。", 68 | "これは包帯だ。", 69 | "手を振り払う。", 70 | "一緒に降りると言う。", 71 | "見えないと言う。", 72 | "その場から離れる。", 73 | "正直に言う。", 74 | "もっと傾けてしまう。", 75 | "警告しているハンドサインの東へ。", 76 | "調査してみる。", 77 | "握手を求める。", 78 | "だが、握手を求める" 79 | ] 80 | 81 | 82 | def filter_by_length_ratio(target, choices, max_length_diff_ratio=0.6): 83 | target_len = len(target) 84 | filtered_choices = [choice for choice in choices if 85 | min(abs(len(choice) - target_len) / target_len, 86 | abs(len(choice) - target_len) / len(choice)) <= max_length_diff_ratio] 87 | print(filtered_choices) 88 | 89 | # 现在使用限定长度差异的choices进行匹配 90 | match = process.extractOne(target, filtered_choices) 91 | 92 | return match 93 | 94 | 95 | result = filter_by_length_ratio("握手", choices) 96 | print(result) 97 | -------------------------------------------------------------------------------- /workbench/__init__.py: -------------------------------------------------------------------------------- 1 | from workbench.file_path_utils import PathManager 2 | from workbench.logging_utils import LoggingManager 3 | from workbench.ocr_utils import Ocr 4 | from workbench.read_settings import SettingsReader 5 | from . import keyboard_control 6 | from . import mission_handling 7 | from . import mouse_control 8 | from . import ui_config 9 | from . import main_work 10 | -------------------------------------------------------------------------------- /workbench/choices_dict.json: -------------------------------------------------------------------------------- 1 | { 2 | "en": [ 3 | "Avert your eyes.", 4 | "Shake your head.", 5 | "Take the brass ring.", 6 | "Pet the fox.", 7 | "Shake your head.", 8 | "Snap the twig.", 9 | "Sit and wait.", 10 | "Play paper.", 11 | "You are not special.", 12 | "Move on without resting.", 13 | "Take one of the prayer books from its body.", 14 | "Weather the rain and leave the place.", 15 | "Leave the room.", 16 | "Choose the deranged skull.", 17 | "Break the spring's entryway to let more blood out.", 18 | "Don't make any expression.", 19 | "Agree that they are stars.", 20 | "Don't command anything.", 21 | "Hug and shake the giant body.", 22 | "I don't.", 23 | "A rabbit.", 24 | "I pity the one that binds.", 25 | "Push the hand away.", 26 | "Leave.", 27 | "Push it further.", 28 | "East, to where the warning hand points.", 29 | "Ask to shake hands." 30 | ], 31 | "jp": [ 32 | "目を背ける。", 33 | "日を背ける。", 34 | "拒否する。", 35 | "真鍮の指輪を摘まむ。", 36 | "撫でる。", 37 | "起でる。", 38 | "首を横に振る。", 39 | "枝を折る。", 40 | "ゆっくり座って待つ。", 41 | "パーを出す。", 42 | "君は特別じゃない。", 43 | "休まずに進み続ける。", 44 | "身体に付いてる祈祷書を一つ取ってくる。", 45 | "雨に降られながらここを離れる。", 46 | "このまま部屋を出る。", 47 | "イカれた骸骨を選ぶ。", 48 | "湧き水の入口を壊してさらに広げ、血をより沢山飲ませる。", 49 | "何の表情も浮かべるな。", 50 | "星で合ってると言う。", 51 | "いかなることも指示しない。", 52 | "巨大な手を抱いて握手する。", 53 | "好きじゃない。", 54 | "ウサギだ。", 55 | "縛られてしまったものが可哀想だ。", 56 | "手を振り払う。", 57 | "その場から離れる。", 58 | "もっと傾けてしまう。", 59 | "警告しているハンドサインの東へ。", 60 | "握手を求める。", 61 | "囚人を捧げる", 62 | "剣契だと言う" 63 | ], 64 | "kr": [ 65 | "눈을 돌린다.", 66 | "거절한다.", 67 | "귀를 기울인다.", 68 | "쓰다듬는다.", 69 | "고개를 젓는다.", 70 | "가지를 꺾어간다.", 71 | "차분히 앉아서 기다린다.", 72 | "보를 낸다.", 73 | "너는 특별하지 않다.", 74 | "쉬지 않고 계속 나아간다.", 75 | "몸에 있는 기도서 중 하나를 떼어온다.", 76 | "비를 맞으며 이곳을 벗어난다.", 77 | "이대로 방을 나간다.", 78 | "정신나간 해골을 선택한다.", 79 | "샘물의 입구를 부숴 더 넓혀 피를 더 많이 마시게 한다.", 80 | "아무 표정도 짓지 마.", 81 | "별이 맞다고 한다.", 82 | "그 무엇도 지시하지 않는다.", 83 | "거대한 몸을 안아 악수한다.", 84 | "좋아하지 않는다.", 85 | "토끼다.", 86 | "묶여져버린 것이 불쌍하다.", 87 | "손을 뿌리친다.", 88 | "그 자리를 떠난다.", 89 | "더욱 젖혀버린다.", 90 | "경고하는 손짓의 동쪽으로.", 91 | "악수를 청한다." 92 | ], 93 | "zh": [ 94 | "移开视线", 95 | "摘下黄铜戒指", 96 | "抚摸狐狸", 97 | "摇头", 98 | "折断树枝", 99 | "坐下慢慢等待", 100 | "出布", 101 | "不做任何表情。", 102 | "我不喜欢。", 103 | "选择发狂的骷髅头。", 104 | "把泉水的入口破坏，让更多血流出来。", 105 | "你不是特别的。", 106 | "同意那是星星。", 107 | "从它的身上拿一本祈祷书。", 108 | "不下达命令。", 109 | "冒雨离开这里。", 110 | "离开房间。", 111 | "不作休息，继续前进。", 112 | "离开。", 113 | "拥抱它巨大的身体并握手。", 114 | "是兔子。", 115 | "束缚着的一方更可怜。", 116 | "推开手。", 117 | "离开那里。", 118 | "让它倾倒得更厉害。", 119 | "向警告的手所指的东方。", 120 | "要求握手。" 121 | ] 122 | } -------------------------------------------------------------------------------- /workbench/ego_gift.py: -------------------------------------------------------------------------------- 1 | import json 2 | import os 3 | import time 4 | 5 | import pyautogui as pg 6 | 7 | import file_path_utils 8 | 9 | pg.FAILSAFE = False 10 | 11 | 12 | # 界面检查模块 13 | def check_img(img, confid=0.9): 14 | try: 15 | if pg.locateOnScreen(file_path_utils.PathManager.get_local_image(img), confidence=confid) is not None: 16 | print('看到了...', img) 17 | return True 18 | except pg.ImageNotFoundException: 19 | print('没看到..', img) 20 | return False 21 | 22 | 23 | def check_img_list(img_list, confid=0.9): 24 | for i in range(len(img_list)): 25 | if check_img(img_list[i], confid): 26 | return True 27 | return False 28 | 29 | 30 | # 控制模块 31 | def mouse_click(img, times=1, confid=0.9): 32 | try: 33 | location = pg.locateCenterOnScreen(file_path_utils.PathManager.get_local_image(img), confidence=confid) 34 | if location is not None: 35 | pg.click( 36 | location.x, 37 | location.y, 38 | interval=0.6, 39 | duration=0, 40 | clicks=times, 41 | button='left', 42 | ) 43 | pg.moveTo(0, 0) 44 | print("点到了 ...", img) 45 | except pg.ImageNotFoundException: 46 | print("没点到 ...", img) 47 | 48 | 49 | def mouse_click_img_list(img_list, times=1, confid=0.9): 50 | for i in range(len(img_list)): 51 | if mouse_click(img_list[i], times, confid): 52 | return True 53 | return False 54 | 55 | 56 | _worklist_path = os.path.join(file_path_utils.PathManager.CURRENT_DIR, 'worklist.json') 57 | with open(_worklist_path, 'r', encoding='utf-8') as f: 58 | _worklist = json.load(f) 59 | 60 | 61 | # ———————————————————————————————————————————— 62 | # ———————————————————————————————————————————— 63 | def start_mirror(): 64 | mouse_click_img_list(_worklist['start_mirror']) 65 | 66 | 67 | def end_mirror(): 68 | mouse_click_img_list(_worklist['end_mirror']) 69 | 70 | 71 | def gift(camp): 72 | for _ in range(2): 73 | camp_checked = check_img_list(_worklist[f'{camp}_checked'][0], 0.85) & check_img_list( 74 | _worklist[f'{camp}_checked'][1], 0.85) 75 | if camp_checked: 76 | mouse_click_img_list(_worklist[f'{camp}_click'], confid=0.85) 77 | mouse_click('gifts_checked_1690.png') 78 | print('等待下一步操作') 79 | time.sleep(999999) 80 | else: 81 | mouse_click('refresh_1690.png') 82 | 83 | 84 | def mirror_opening_field(): 85 | while True: 86 | start_mirror() 87 | gift('bleed') 88 | end_mirror() 89 | 90 | 91 | """ 92 | 流血: bleed 93 | 呼吸: breath 94 | 烧伤: burn 95 | 破裂: fracture 96 | 97 | """ 98 | 99 | if __name__ == '__main__': 100 | mirror_opening_field() 101 | -------------------------------------------------------------------------------- /workbench/file_path_utils.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | 4 | class PathManager: 5 | """ 6 | To manage the essential file paths and language list for the application. 7 | 8 | Attributes: 9 | CURRENT_PATH (str): The absolute path to the current script file. 10 | CURRENT_DIR (str): The directory containing the current script file. 11 | ROOT_RELPATH (str): The relative path to the root. 12 | ASSETS_RELPATH (str): The relative path to the assets. 13 | LANGUAGE_LIST (List[str]): A list of supported languages, including "English", "Japanese", and "Korean". 14 | 15 | Methods: 16 | get_local_image(image_name: str) -> str or None: 17 | Looks up and returns the local path of the specified image file. It checks the root directory first, 18 | then iterates through the language directories in the `LANGUAGE_LIST`. 19 | """ 20 | 21 | CURRENT_PATH = os.path.abspath(__file__) 22 | CURRENT_DIR = os.path.dirname(CURRENT_PATH) 23 | ROOT_RELPATH = os.path.join(CURRENT_DIR, '../') 24 | ASSETS_RELPATH = os.path.join(CURRENT_DIR, '../assets') 25 | LOG_RELPATH = os.path.join(CURRENT_DIR, '../log', ) 26 | MODEL_RELPATH = os.path.join(CURRENT_DIR, '../models', ) 27 | LANGUAGE_LIST = ["en", "jp", "kr", "zh"] 28 | OTHER_LIST = ["gifts"] 29 | 30 | @classmethod 31 | def get_local_image(cls, image_name: str) -> str | None: 32 | """Find and return the local path of the specified image file. Check the root directory first, 33 | then traverse through the language directories in the `LANGUAGE_LIST`. 34 | 35 | Args: 36 | image_name (str): The name of the image file to be located. 37 | 38 | Returns: 39 | str or None: The local path of the found image file, or None if not found. 40 | """ 41 | path = os.path.join(cls.ASSETS_RELPATH, image_name) 42 | 43 | if os.path.isfile(path): 44 | return path 45 | 46 | for lang in cls.LANGUAGE_LIST: 47 | lang_path = os.path.join(cls.ASSETS_RELPATH, lang, image_name) 48 | if os.path.isfile(lang_path): 49 | return lang_path 50 | 51 | for other in cls.OTHER_LIST: 52 | other_path = os.path.join(cls.ASSETS_RELPATH, other, image_name) 53 | if os.path.isfile(other_path): 54 | return other_path 55 | 56 | return None 57 | 58 | 59 | if __name__ == '__main__': 60 | result = PathManager.get_local_image('back_button.png') 61 | print(result) 62 | -------------------------------------------------------------------------------- /workbench/image_processing.py: -------------------------------------------------------------------------------- 1 | import cv2 2 | import numpy as np 3 | 4 | from workbench.file_path_utils import PathManager 5 | 6 | 7 | class ImageDetector: 8 | """ 9 | To detect specific templates within images and computes their similarity to a reference. 10 | 11 | Attributes: HLS: A constant string representing the HLS color space filter. MASK_PARAM: A constant string 12 | indicating the key for mask parameters in TEMPLATE_DICT. OFFSET_PARAM: A constant string indicating the key for 13 | rectangle offset parameters in TEMPLATE_DICT. TEMPLATE_DICT: Dictionary containing detection parameters for 14 | various templates. Each template name maps to a sub-dictionary with keys 'HLS', 'mask_param', and 'offset_param'. 15 | 16 | Args: image_input (cv2.UMat): The input image data as an OpenCV UMat object. template_name (str): The name of the 17 | template to match, which must exist in TEMPLATE_DICT. threshold (int, optional): Specifies the maximum number of 18 | bounding boxes with the largest area to retain, defaults to 12. 19 | 20 | Methods: 21 | apply_hls_filter(): Applies an HLS color space filter to preprocess the image. 22 | find_bounding_boxes(): Identifies and selects bounding boxes that meet size criteria. 23 | rectangles_offset(): Adjusts the position and dimensions of bounding boxes based on template parameters. 24 | get_confidence_rect(): Calculates the most similar bounding box and its similarity to the specified template. 25 | create_masked_image(): Generates a masked version of the image using the given masking parameters. 26 | calculate_similarity(): Computes the similarity between two images. 27 | """ 28 | HLS = 'hls' 29 | MASK_PARAM = 'mask_param' 30 | OFFSET_PARAM = 'offset_param' 31 | KERNEL_SIZE = 'kernel_size' 32 | TEMPLATE_DICT = { 33 | 'battle.png': { 34 | 'hls': ( 35 | (0, 30), 36 | (170, 255), 37 | (125, 255) 38 | ) 39 | }, 40 | 'battle_rate_jp.png': { 41 | 'hls': ( 42 | (0, 30), 43 | (149, 255), 44 | (46, 195) 45 | ), 46 | 'kernel_size': 1, 47 | }, 48 | 'setting_button.png': { 49 | 'hls': ( 50 | (0, 60), 51 | (0, 110), 52 | (0, 60) 53 | ), 54 | }, 55 | 'setting_menu': { 56 | 'hls': ( 57 | (0, 20), 58 | (0, 255), 59 | (0, 255) 60 | ), 61 | }, 62 | 'death_jp.png': { 63 | 'hls': ( 64 | (0, 4), 65 | (40, 70), 66 | (250, 255) 67 | ), 68 | 'offset_param': (0.26, -1.31, 1.77, 1.65), 69 | }, 70 | 'gear.png': { 71 | 'hls': ( 72 | (14, 20), 73 | (70, 200), 74 | (90, 200) 75 | ), 76 | 'offset_param': (0.18, 0.2, 0.71, 0.71), 77 | }, 78 | 'gear_active.png': { 79 | 'hls': ( 80 | (0, 19), 81 | (100, 160), 82 | (200, 255) 83 | ), 84 | 'offset_param': (0.18, 0.15, 0.78, 0.71), 85 | }, 86 | 'skip_button.png': { 87 | 'hls': ( 88 | (12, 25), 89 | (150, 210), 90 | (20, 200) 91 | ) 92 | }, 93 | 'skip_button_2.png': { 94 | 'hls': ( 95 | (12, 25), 96 | (150, 210), 97 | (20, 200) 98 | ) 99 | }, 100 | 'back_button.png': { 101 | 'hls': ( 102 | (9, 21), 103 | (10, 110), 104 | (40, 230) 105 | ), 106 | 'mask_param': ( 107 | 2 / 3, 108 | 3 / 4, 109 | ) 110 | 111 | }, 112 | 'yes_button.png': { 113 | 'hls': ( 114 | (12, 18), 115 | (100, 180), 116 | (0, 100) 117 | ) 118 | }, 119 | 'intensity': { 120 | 'hls': ( 121 | (0, 30), 122 | (0, 255), 123 | (0, 255) 124 | ), 125 | 'offset_param': (-0.1, -0.72, 1.18, 0.67), 126 | }, 127 | 'choices': { 128 | 'hls': ( 129 | (0, 180), 130 | (0, 38), 131 | (0, 160) 132 | ) 133 | }, 134 | } 135 | 136 | def __init__(self, image_input: np.ndarray, template_name: str, threshold=12): 137 | self.image = image_input 138 | self.template_name = template_name 139 | self.current_dict = self.TEMPLATE_DICT[self.template_name] 140 | self.rectangles_list = [] 141 | self.threshold = threshold 142 | self.mask = np.zeros_like(image_input) 143 | 144 | def apply_hls_filter(self, image): 145 | h_range, l_range, s_range = self.current_dict[self.HLS] 146 | h_channel, l_channel, s_channel = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 147 | h_mask = cv2.inRange(h_channel, h_range[0], h_range[1]) 148 | l_mask = cv2.inRange(l_channel, l_range[0], l_range[1]) 149 | s_mask = cv2.inRange(s_channel, s_range[0], s_range[1]) 150 | 151 | mask = cv2.bitwise_and(h_mask, cv2.bitwise_and(s_mask, l_mask)) 152 | kernel_size = self.current_dict.get(self.KERNEL_SIZE, 1) 153 | kernel = np.ones((kernel_size, kernel_size), np.uint8) 154 | self.mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel) 155 | # mask = cv2.bitwise_and( 156 | # cv2.inRange(hls_channels[0], *h_range), 157 | # cv2.inRange(hls_channels[1], *l_range), 158 | # cv2.inRange(hls_channels[2], *s_range) 159 | # ) 160 | return cv2.bitwise_and(image, image, mask=self.mask) 161 | 162 | def find_bounding_boxes(self): 163 | self.rectangles_list.clear() 164 | _ = self.apply_hls_filter(self.image) 165 | 166 | contours, _ = cv2.findContours(self.mask, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) 167 | bounding_rects = [cv2.boundingRect(c) for c in contours] 168 | # apply offset 169 | bounding_rects = self.rectangles_offset(bounding_rects) 170 | sizes = [rect[2] * rect[3] for rect in bounding_rects] 171 | sizes = sorted(sizes, reverse=True) 172 | # print(sizes) 173 | threshold_size = sizes[min(self.threshold - 1, len(sizes) - 1)] 174 | self.rectangles_list.extend( 175 | rect for rect in bounding_rects 176 | if rect[2] * rect[3] >= threshold_size and 0.1 <= rect[2] / rect[3] <= 10 177 | ) 178 | 179 | # i = 1000 180 | # for rect in self.rectangles_list: 181 | # x, y, w, h = rect 182 | # # print(rect) 183 | # roi = self.image[y:y + h, x:x + w] 184 | # 185 | # cv2.imshow('1', roi) 186 | # cv2.waitKey(100) 187 | # cv2.imwrite(f'{i}.png', roi) 188 | # i += 1 189 | 190 | return self.rectangles_list 191 | 192 | def rectangles_offset(self, rectangles_list): 193 | offset_factors = self.current_dict.get(self.OFFSET_PARAM, [0, 0, 1, 1]) 194 | # print(f'offsets:{offset_factors}') 195 | x_offset_factor, y_offset_factor, width_scale_factor, height_scale_factor = offset_factors 196 | 197 | image_width, image_height = self.image.shape[1], self.image.shape[0] 198 | 199 | rectangles_offset_list = [(max(0, round(x + w * x_offset_factor)), # 确保x坐标不小于0 200 | max(0, round(y + h * y_offset_factor)), # 确保y坐标不小于0 201 | max(1, min(image_width, round(w * width_scale_factor))), # 确保宽度不超过图像宽度 202 | max(1, min(image_height, round(h * height_scale_factor)))) # 确保高度不超过图像高度 203 | for x, y, w, h in rectangles_list] 204 | 205 | return rectangles_offset_list 206 | 207 | def get_confidence_rect(self): 208 | 209 | # Detect rectangles and draw them on the image 210 | self.find_bounding_boxes() 211 | 212 | # Load the skip button template 213 | template = cv2.imread(PathManager.get_local_image(self.template_name)) 214 | # template = self.apply_hls_filter(template) 215 | # cv2.imshow('1', template) 216 | # cv2.waitKey(0) 217 | # template = cv2.imread(get_local_image('skip_button.png')) 218 | 219 | # Initialize maximum similarity and corresponding rectangle 220 | max_similarity = 0 221 | max_similarity_rect = None 222 | 223 | # Calculate similarity for each rectangle 224 | mask_param_list = self.current_dict.get(self.MASK_PARAM, []) 225 | template_masked = self.create_masked_image(template, *mask_param_list) 226 | for rect in self.rectangles_list: 227 | x, y, w, h = rect 228 | # print(rect) 229 | roi = self.image[y:y + h, x:x + w] 230 | # roi = self.apply_hls_filter(roi) 231 | roi_masked = self.create_masked_image(roi, *mask_param_list) 232 | # cv2.imshow('1', roi) 233 | # cv2.waitKey(0) 234 | similarity = self.calculate_similarity(roi_masked, template_masked) 235 | 236 | # Update max similarity and max similarity rectangle if necessary 237 | if similarity > max_similarity: 238 | max_similarity = similarity 239 | max_similarity_rect = rect 240 | 241 | # cv2.imshow("12", roi) 242 | # cv2.waitKey(0) 243 | # print(f"Similarity for rectangle at ({x}, {y}) is {similarity:.4f}") 244 | 245 | # Return max similarity and it's corresponding rectangle 246 | return max_similarity, max_similarity_rect 247 | 248 | @staticmethod 249 | def create_masked_image(image, height_factor=None, width_factor=None, preserve_center=False): 250 | if height_factor is None or width_factor is None: 251 | return image 252 | # Obtain the image dimensions 253 | h, w, channels = image.shape 254 | 255 | # Create a white image of the same dimensions 256 | mask = np.zeros((h, w, channels), np.uint8) if preserve_center else np.ones((h, w, channels), np.uint8) * 255 257 | 258 | # Define your rectangle 259 | start_y, start_x = int(h * (1 - height_factor) / 2), int(w * (1 - width_factor) / 2) 260 | end_y, end_x = int(h * (1 + height_factor) / 2), int(w * (1 + width_factor) / 2) 261 | 262 | # Set rectangle color based on preserve_center 263 | rectangle_color = (255, 255, 255) if preserve_center else (0, 0, 0) 264 | 265 | # Draw a rectangle on the white mask 266 | cv2.rectangle(mask, (start_x, start_y), (end_x, end_y), rectangle_color, -1) 267 | 268 | # Combine the image with the mask 269 | result = cv2.bitwise_and(image, mask) 270 | 271 | # Use cv2.imshow() function to display the image 272 | # cv2.imshow('Processed Image', result) 273 | # cv2.waitKey(0) 274 | # cv2.destroyAllWindows() 275 | return result 276 | 277 | @staticmethod 278 | def calculate_similarity(image, template: cv2.typing.MatLike): 279 | # 调整图片大小 280 | try: 281 | target_size = (template.shape[1], template.shape[0]) 282 | except AttributeError: 283 | return 0 284 | image = cv2.resize(image, target_size) 285 | mask = cv2.inRange(image, np.array([0, 0, 0]), np.array([255, 255, 255])) 286 | # 创建ORB特征提取器 287 | orb = cv2.ORB.create(edgeThreshold=0) 288 | 289 | # 从两幅图像中查找关键点和描述符 290 | # cv2.imshow('1', image) 291 | # cv2.waitKey(0) 292 | try: 293 | kp1, des1 = orb.detectAndCompute(image, mask) 294 | except cv2.error: 295 | # cv2.imshow('1', image) 296 | # cv2.waitKey(0) 297 | return 0 298 | kp2, des2 = orb.detectAndCompute(template, mask) 299 | 300 | # 创建Brute Force Matcher 301 | bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=False) # 修改为False，以便返回两个最近的匹配点 302 | 303 | # 使用Matcher匹配描述符 304 | matches = bf.knnMatch(des1, des2, k=2) # 修改为knnMatch，以便返回两个最近的匹配点 305 | 306 | # 应用比例测试，过滤掉明显不匹配的点 307 | good_matches = [] 308 | for m, n in matches: 309 | if m.distance < 0.75 * n.distance: # 如果第一个匹配点的距离小于第二个匹配点的距离的0.75倍，那么它是好的匹配点 310 | good_matches.append(m) 311 | 312 | # 根据好的匹配数返回相似度 313 | return len(good_matches) 314 | 315 | def get_mask(self, image): 316 | h_range, l_range, s_range = self.current_dict[self.HLS] 317 | h_channel, l_channel, s_channel = cv2.split(cv2.cvtColor(image, cv2.COLOR_BGR2HLS)) 318 | h_mask = cv2.inRange(h_channel, h_range[0], h_range[1]) 319 | l_mask = cv2.inRange(l_channel, l_range[0], l_range[1]) 320 | s_mask = cv2.inRange(s_channel, s_range[0], s_range[1]) 321 | 322 | mask = cv2.bitwise_and(h_mask, cv2.bitwise_and(s_mask, l_mask)) 323 | 324 | return mask 325 | 326 | def get_confidence_rect_mask(self): 327 | 328 | # Detect rectangles and draw them on the image 329 | self.find_bounding_boxes() 330 | 331 | # Load the skip button template 332 | template = cv2.imread(PathManager.get_local_image(self.template_name)) 333 | template_mask = self.get_mask(template) 334 | 335 | max_similarity = 0 336 | max_similarity_rect = None 337 | 338 | for rect in self.rectangles_list: 339 | x, y, w, h = rect 340 | # print(rect) 341 | roi = self.image[y:y + h, x:x + w] 342 | roi_mask = self.get_mask(roi) 343 | 344 | similarity = self.calculate_similarity_mask(roi_mask, template_mask) 345 | 346 | # Update max similarity and max similarity rectangle if necessary 347 | if similarity > max_similarity: 348 | max_similarity = similarity 349 | max_similarity_rect = rect 350 | 351 | # cv2.imshow("12", roi) 352 | # cv2.waitKey(0) 353 | # print(f"Similarity for rectangle at ({x}, {y}) is {similarity:.4f}") 354 | 355 | # Return max similarity and it's corresponding rectangle 356 | return max_similarity, max_similarity_rect 357 | 358 | @staticmethod 359 | def calculate_similarity_mask(image, template: cv2.typing.MatLike): 360 | # 调整图片大小 361 | try: 362 | target_size = (template.shape[1], template.shape[0]) 363 | except AttributeError: 364 | return 0 365 | image = cv2.resize(image, target_size) 366 | res = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED) 367 | # print(1 - abs(res[0][0])) 368 | # 根据好的匹配数返回相似度 369 | return abs(res[0][0]) 370 | 371 | # if __name__ == "__main__": 372 | # def main(): 373 | # image_path = 'back_button.png' # Replace with your image path 374 | # create_masked_image(image_path, height_factor=2 / 3, width_factor=3 / 4, preserve_center=True) 375 | # 376 | # 377 | # main() 378 | -------------------------------------------------------------------------------- /workbench/keyboard_control.py: -------------------------------------------------------------------------------- 1 | import ctypes 2 | import time 3 | 4 | 5 | # 定义一个键盘类，用于模拟键盘按键的操作 6 | class KeyBoard: 7 | # 定义按键的虚拟键码映射 8 | key_values = { 9 | 'shift': 0x10, 10 | 'ctrl': 0x11, 11 | 'alt': 0x12, 12 | 'enter': 0x0D 13 | } 14 | 15 | for i in range(26): 16 | key_values[chr(65 + i).lower()] = 0x41 + i 17 | 18 | # 定义按键的操作,表示按键的升起和落下 19 | KEY_EVENT_KEYDOWN = 0x0 20 | KEY_EVENT_KEYUP = 0x2 21 | 22 | # 引用用户32库，用以发送按键消息 23 | user32 = ctypes.windll.user32 24 | 25 | # 定义一个私有函数，用于按下一个键 26 | # 参数key是要按下的键的名字，比如'a'或'shift' 27 | def __press_one_key(self, key): 28 | self.user32.keybd_event(self.key_values[key], 0, self.KEY_EVENT_KEYDOWN, 0) 29 | 30 | # 定义一个私有函数，用于释放一个键 31 | # 参数key是要释放的键的名字，比如'a'或'shift' 32 | def __release_one_key(self, key): 33 | self.user32.keybd_event(self.key_values[key], 0, self.KEY_EVENT_KEYUP, 0) 34 | 35 | # 定义一个公开函数，用于按下多个键 36 | # 参数keys是要按下的键的名字的字符串，用' + '分隔，比如'shift + ctrl + alt + D' 37 | def press_keys(self, keys: str): 38 | keys = keys.lower().split(' + ') 39 | for key in keys: 40 | self.__press_one_key(key) 41 | # 短暂等待，确保按键消息已送达 42 | time.sleep(0.01) 43 | # 释放按键 44 | for key in keys: 45 | self.__release_one_key(key) 46 | 47 | 48 | # 创建一个键盘对象 49 | keyboard = KeyBoard() 50 | 51 | if __name__ == '__main__': 52 | # 测试函数 53 | # keyboard.press_keys("shift + ctrl + alt + D") 54 | # keyboard.press_keys("alt + C") 55 | keyboard.press_keys('enter') 56 | -------------------------------------------------------------------------------- /workbench/logging_utils.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import os 3 | 4 | from colorlog import ColoredFormatter 5 | 6 | from workbench.file_path_utils import PathManager 7 | 8 | 9 | class LoggingManager: 10 | # noinspection SpellCheckingInspection 11 | log_file_path = os.path.join(PathManager.LOG_RELPATH, 'Limbug_Clicker.log') 12 | logger = logging.getLogger('my_logger') 13 | logger.propagate = False 14 | # 清除logger上的处理器 15 | if len(logger.handlers) > 0: 16 | for handler in logger.handlers: 17 | logger.removeHandler(handler) 18 | 19 | logger.setLevel(logging.DEBUG) 20 | # 创建FileHandler和StreamHandler 21 | fh = logging.FileHandler(log_file_path, mode='w') 22 | # fh.setLevel(logging.CRITICAL) 23 | fh.setLevel(logging.DEBUG) 24 | ch = logging.StreamHandler() 25 | ch.setLevel(logging.DEBUG) 26 | 27 | formatter = ColoredFormatter('%(asctime)s - %(levelname)s: %(filename)s[line:%(lineno)d] - %(message)s') 28 | ch_formatter = ColoredFormatter( 29 | '%(log_color)s%(asctime)s - %(levelname)s: %(filename)s[line:%(lineno)d] - %(message)s') 30 | ch.setFormatter(ch_formatter) 31 | fh.setFormatter(formatter) 32 | logger.addHandler(fh) 33 | logger.addHandler(ch) 34 | 35 | @classmethod 36 | def toggle_logging(cls, is_enabled: bool): 37 | if is_enabled: 38 | cls.fh.setLevel(logging.DEBUG) 39 | else: 40 | cls.fh.setLevel(logging.CRITICAL) 41 | 42 | # 使用示例： 43 | # from workbench.logging_utils import LoggingManager 44 | # 45 | # if __name__ == '__main__': 46 | # 47 | # # 改变日志级别 48 | # logger = LoggingManager.logger 49 | # LoggingManager.toggle_logging(True) # 将日志级别切换到DEBUG（假设我们希望看到详细的调试信息） 50 | # 51 | # # 使用logger记录一条info消息 52 | # logger.info('Hello from the test.') 53 | # 54 | # # 模拟一个异常并记录错误信息 55 | # # noinspection PyBroadException 56 | # try: 57 | # res = 0 / 0 58 | # except Exception as exc: 59 | # logger.exception("An error occurred: ") 60 | # 61 | # # 如果需要，还可以再次改变日志级别 62 | # LoggingManager.toggle_logging(False) # 将日志级别切换回CRITICAL或更高 63 | -------------------------------------------------------------------------------- /workbench/main_work.py: -------------------------------------------------------------------------------- 1 | import json 2 | import os 3 | import time 4 | 5 | import cv2 6 | import numpy as np 7 | import pyautogui as pg 8 | from PIL import ImageGrab 9 | 10 | from workbench import SettingsReader 11 | from workbench import mouse_control 12 | from workbench.image_processing import ImageDetector 13 | from workbench.ocr_utils import Ocr 14 | from . import file_path_utils 15 | 16 | pg.FAILSAFE = False 17 | 18 | _worklist_path = os.path.join(file_path_utils.PathManager.CURRENT_DIR, 'worklist.json') 19 | with open(_worklist_path, 'r', encoding='utf-8') as f: 20 | _worklist = json.load(f) 21 | 22 | 23 | def get_screenshot(): 24 | # 获取屏幕截图 25 | image = ImageGrab.grab() 26 | 27 | # 转换为opencv的数据格式 28 | # noinspection PyTypeChecker 29 | opencv_image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR) 30 | return opencv_image 31 | 32 | 33 | # 界面检查模块 34 | def check_img(img, confid=0.9): 35 | try: 36 | if pg.locateOnScreen(file_path_utils.PathManager.get_local_image(img), confidence=confid) is not None: 37 | print('看到了...', img) 38 | return True 39 | except pg.ImageNotFoundException: 40 | print('没看到..', img) 41 | return False 42 | 43 | 44 | def check_img_list(img_list, confid=0.9): 45 | for i in range(len(img_list)): 46 | if check_img(img_list[i], confid): 47 | return True 48 | return False 49 | 50 | 51 | # 控制模块 52 | def mouse_click(img, times=1, confid=0.9): 53 | try: 54 | location = pg.locateCenterOnScreen(file_path_utils.PathManager.get_local_image(img), confidence=confid) 55 | if location is not None: 56 | pg.click( 57 | location.x, 58 | location.y, 59 | interval=0.1, 60 | duration=0, 61 | clicks=times, 62 | button='left', 63 | ) 64 | pg.moveTo(0, 0) 65 | print("点到了 ...", img) 66 | except pg.ImageNotFoundException: 67 | print("没点到 ...", img) 68 | 69 | 70 | def mouse_click_img_list(img_list, times=1, confid=0.9): 71 | for i in range(len(img_list)): 72 | if mouse_click(img_list[i], times, confid): 73 | return True 74 | return False 75 | 76 | 77 | def mouse_hold(img, confid=0.75): 78 | try: 79 | location = pg.locateCenterOnScreen(file_path_utils.PathManager.get_local_image(img), confidence=confid) 80 | if location is not None: 81 | pg.click( 82 | x=location.x + (-27), 83 | y=location.y + 117, 84 | interval=0, 85 | duration=0, 86 | clicks=1, 87 | button='left', 88 | ) 89 | print('点到了模糊的...', img) 90 | pg.mouseDown( 91 | x=location.x + (-27), 92 | y=location.y + 117, 93 | duration=0, 94 | button='left', 95 | ) 96 | print('按住模糊的..', img) 97 | except pg.ImageNotFoundException: 98 | print("没按住 ...", img) 99 | 100 | 101 | def mouse_hold_img_list(img_list, confid=0.75): 102 | for i in range(len(img_list)): 103 | if mouse_hold(img_list[i], confid): 104 | return True 105 | return False 106 | 107 | 108 | def abnormality_ocr(): 109 | # text_rect_list = screenshot_ocr() 110 | image = get_screenshot() 111 | dict_key = 'choices' 112 | image_detector = ImageDetector(image, dict_key, 12) 113 | rectangles_list = image_detector.find_bounding_boxes() 114 | 115 | text_rect_list = Ocr.recognize_rectangles(image, rectangles_list) 116 | match, rect, score = Ocr.get_best_choice(text_rect_list) 117 | print(f'match,{match} rect,{rect} score{score}') 118 | if score > 60: 119 | mouse_control.click_rect_center(rect) 120 | else: 121 | mouse_click_img_list(_worklist['abnormality_click']) 122 | 123 | 124 | # ———————————————————————————————————————————————————— 125 | # ———————————————————————————————————————————————————— 126 | # 按界面归类组件 127 | def battle_field(): 128 | battle_checked = check_img_list(_worklist['battle_checked']) 129 | if battle_checked: 130 | mouse_click("gear_1690.png") 131 | mouse_click("gear_fullscreen.png") 132 | pg.press('p') 133 | time.sleep(0.5) # 让游戏\\gear反应一下 134 | lang = SettingsReader.read_option('Language', 'current') 135 | print('123') 136 | if SettingsReader.read_option('DEATH', 'value') == 'True': 137 | death_checked = check_img_list(_worklist[f'death_checked_{lang}']) 138 | if death_checked: 139 | mouse_click_img_list(_worklist['death_click']) 140 | # 暂时将就用这个，以后改 141 | time.sleep(15) 142 | stage_field() 143 | if SettingsReader.read_option('EGO', 'value') == 'True': 144 | bad_checked = check_img_list(_worklist[f'bad_checked_{lang}'], confid=0.75) 145 | if bad_checked: 146 | mouse_hold_img_list(_worklist[f'bad_checked_{lang}'], confid=0.75) 147 | time.sleep(2) # 让游戏\\ego反应一下 148 | if check_img_list(_worklist['ego_click']): 149 | mouse_click_img_list(_worklist['ego_click'], 4) 150 | mouse_click_img_list(_worklist['property'], 2) 151 | pg.press('p') 152 | pg.press('p') 153 | else: 154 | mouse_click_img_list(_worklist['property'], 2) 155 | pg.press('enter') 156 | else: 157 | pass 158 | 159 | 160 | def encounters_field(): 161 | encounters_checked = check_img_list(_worklist['encounters_checked']) 162 | if encounters_checked: 163 | store_checked = check_img_list(_worklist['store_checked']) 164 | chair_checked = check_img_list(_worklist['chair_checked']) 165 | mouse_click_img_list(_worklist['encounters_click'][0], 3) 166 | mouse_click_img_list(_worklist['encounters_click'][1]) 167 | if store_checked: 168 | time.sleep(0.5) 169 | mouse_click_img_list(_worklist['store_click']) 170 | print('store空着的...') 171 | elif chair_checked: 172 | time.sleep(0.5) 173 | mouse_click_img_list(_worklist['chair_click']) 174 | print('chair空着的...') 175 | else: 176 | abnormality_ocr() 177 | lang = SettingsReader.read_option('Language', 'current') 178 | vote_checked = check_img_list(_worklist[f'vote_checked_{lang}']) 179 | if vote_checked: 180 | mouse_click_img_list(_worklist[f'vote_click_{lang}'], confid=0.95) 181 | else: 182 | pass 183 | else: 184 | print('654') 185 | pass 186 | 187 | 188 | def stage_field(): 189 | stage_checked = check_img_list(_worklist['stage_checked']) 190 | if stage_checked: 191 | mouse_click_img_list(_worklist['stage_click']) 192 | pg.press('enter') 193 | time.sleep(2) 194 | pg.press('enter') 195 | else: 196 | pass 197 | 198 | 199 | def main(): 200 | battle_field() 201 | # stage_field() 202 | encounters_field() 203 | 204 | 205 | if __name__ == '__main__': 206 | while True: 207 | battle_field() 208 | 209 | # stage_field() 210 | encounters_field() 211 | -------------------------------------------------------------------------------- /workbench/mission_handling.py: -------------------------------------------------------------------------------- 1 | import time 2 | 3 | import cv2 4 | import numpy as np 5 | from PIL import ImageGrab 6 | 7 | from workbench import keyboard_control 8 | from workbench import mouse_control 9 | from workbench.image_processing import ImageDetector 10 | from workbench.ocr_utils import Ocr 11 | from workbench.read_settings import SettingsReader 12 | 13 | en_ocr_engine = Ocr('en') 14 | 15 | 16 | def get_screenshot(): 17 | # 获取屏幕截图 18 | image = ImageGrab.grab() 19 | 20 | # 转换为opencv的数据格式 21 | # noinspection PyTypeChecker 22 | opencv_image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR) 23 | return opencv_image 24 | 25 | 26 | def check_and_click_image(image, target: str, current_language: str | None = None, thresh=30): 27 | if current_language is None: 28 | template_name = f'{target}.png' 29 | else: 30 | template_name = f'{target}_{current_language}.png' 31 | 32 | image_detector = ImageDetector(image, template_name) 33 | confidence, rect = image_detector.get_confidence_rect() 34 | print(f'confidence: {confidence}') 35 | if confidence > thresh: 36 | mouse_control.click_rect_center(rect) 37 | return True 38 | else: 39 | return False 40 | 41 | 42 | def check_and_click_intensity(image): 43 | dict_key = 'intensity' 44 | image_detector = ImageDetector(image, dict_key, 20) 45 | rectangles_list = image_detector.find_bounding_boxes() 46 | text_rect_list = Ocr.recognize_rectangles(image, rectangles_list) 47 | mouse_control.click_intensity(text_rect_list, ['常に高', '高い', '通', '低い', '常に低']) 48 | 49 | 50 | def check_and_click_choices(): 51 | image = get_screenshot() 52 | dict_key = 'choices' 53 | image_detector = ImageDetector(image, dict_key, 12) 54 | rectangles_list = image_detector.find_bounding_boxes() 55 | 56 | text_rect_list = Ocr.recognize_rectangles(image, rectangles_list) 57 | match, rect, score = Ocr.get_best_choice(text_rect_list) 58 | print(f'match,{match} rect,{rect} score{score}') 59 | if score > 74: 60 | mouse_control.click_rect_center(rect) 61 | 62 | 63 | def check_and_click_text(dict_key, text, rect_thresh=36, score_thresh=75): 64 | image = get_screenshot() 65 | image_detector = ImageDetector(image, dict_key, rect_thresh) 66 | rectangles_list = image_detector.find_bounding_boxes() 67 | 68 | match, rect, score = Ocr.check_text_in_rectangles_cls(image, rectangles_list, text) 69 | print(f'match,{match} rect,{rect} score{score}') 70 | if score > score_thresh: 71 | mouse_control.click_rect_center(rect) 72 | return True 73 | else: 74 | return False 75 | 76 | 77 | def test(): 78 | image = get_screenshot() 79 | death_detector = ImageDetector(image, 'death_jp.png', 36) 80 | death_confidence, _ = death_detector.get_confidence_rect() 81 | # confidence, rect = image_detector.get_confidence_rect() 82 | print(f'confidence: {death_confidence}') 83 | 84 | 85 | def test_ocr(): 86 | image = get_screenshot() 87 | dict_key = 'intensity' 88 | image_detector = ImageDetector(image, dict_key, 20) 89 | rectangles_list = image_detector.find_bounding_boxes() 90 | print(len(rectangles_list)) 91 | text_rect_list = Ocr.recognize_rectangles(image, rectangles_list) 92 | mouse_control.click_intensity(text_rect_list, ['常に高', '高い', '通', '低い', '常に低']) 93 | 94 | 95 | def test_ocr_2(): 96 | image = get_screenshot() 97 | image_detector = ImageDetector(image, 'setting_button.png', 36) 98 | rectangles_list = image_detector.find_bounding_boxes() 99 | _, _, score = en_ocr_engine.check_text_in_rectangles(image, rectangles_list, 'MAX') 100 | print(score) 101 | 102 | 103 | def test_ocr_3(): 104 | image = get_screenshot() 105 | image_detector = ImageDetector(image, 'setting_menu', 36) 106 | rectangles_list = image_detector.find_bounding_boxes() 107 | _, _, score = Ocr.check_text_in_rectangles_cls(image, rectangles_list, 'ステージをギブアップ') 108 | print(score) 109 | 110 | 111 | def test_choices(): 112 | image = get_screenshot() 113 | dict_key = 'choices' 114 | image_detector = ImageDetector(image, dict_key, 12) 115 | rectangles_list = image_detector.find_bounding_boxes() 116 | 117 | text_rect_list = Ocr.recognize_rectangles(image, rectangles_list) 118 | match, rect, score = Ocr.get_best_choice(text_rect_list) 119 | print(f'match,{match} rect,{rect} score{score}') 120 | # mouse_control.click_rect_center(rect) 121 | 122 | def main(): 123 | image = get_screenshot() 124 | current_language = SettingsReader.read_option('Language', 'current') 125 | # 先判断状态 126 | setting_button_detector = ImageDetector(image, 'setting_button.png', 36) 127 | battle_detectors = [ 128 | ImageDetector(image, 'battle_rate_jp.png', 36), 129 | ImageDetector(image, 'battle.png', 36), 130 | ImageDetector(image, 'gear.png', 36), 131 | ImageDetector(image, 'gear_active.png', 36), 132 | ] 133 | battle_confidence = max(detector.get_confidence_rect()[0] for detector in battle_detectors) 134 | # _, _, battle_confidence = en_ocr_engine.check_text_in_rectangles(image, setting_button_rectangles_list, 'MA') 135 | 136 | skip_button_detector = [ 137 | ImageDetector(image, 'skip_button.png', 36), 138 | ImageDetector(image, 'skip_button_2.png', 36), 139 | ] 140 | encounters_confidence = max(detector.get_confidence_rect()[0] for detector in skip_button_detector) 141 | try: 142 | skip_rect = max(detector.get_confidence_rect()[1] for detector in skip_button_detector) 143 | except TypeError: 144 | pass 145 | 146 | # logging_utils.logger.info(f'battle_confidence: {battle_confidence}') 147 | print(f'battle_confidence: {battle_confidence}') 148 | print(f'encounters_confidence: {encounters_confidence}') 149 | check_and_click_image(image, 'yes_button') 150 | if battle_confidence > 30 and encounters_confidence < 10: 151 | time.sleep(0.2) 152 | keyboard_control.keyboard.press_keys('P') 153 | death_detector = ImageDetector(image, 'death_jp.png', 36) 154 | death_confidence, _ = death_detector.get_confidence_rect() 155 | gear_detector = ImageDetector(image, 'gear.png', 12) 156 | gear_confidence, _ = gear_detector.get_confidence_rect() 157 | gear_active_detector = ImageDetector(image, 'gear_active.png', 12) 158 | gear_active_confidence, _ = gear_active_detector.get_confidence_rect() 159 | print(gear_confidence,'---',gear_active_confidence) 160 | 161 | if death_confidence > 18: 162 | _, setting_rect = setting_button_detector.get_confidence_rect() 163 | mouse_control.click_rect_center(setting_rect) 164 | print(setting_rect) 165 | time.sleep(0.6) 166 | click_flag = check_and_click_text('setting_menu', 'Cステージリトライ') 167 | if click_flag is False: 168 | print('123') 169 | check_and_click_text('setting_menu', 'メステージをギブアップ') 170 | print('321') 171 | # test_ocr_3() 172 | elif gear_confidence > 160: 173 | keyboard_control.keyboard.press_keys(SettingsReader.read_option('Shortcut', 'shortcut1')) 174 | elif gear_active_confidence > 0: 175 | keyboard_control.keyboard.press_keys(SettingsReader.read_option('Shortcut', 'shortcut2')) 176 | 177 | elif battle_confidence < 60 and encounters_confidence > 70: 178 | # 找back_button 179 | back_button_detector = ImageDetector(image, 'back_button.png') 180 | back_button_confidence, back_button_rect = back_button_detector.get_confidence_rect() 181 | print(f'back_button_confidence: {back_button_confidence, back_button_rect}') 182 | if back_button_confidence > 30: 183 | mouse_control.click_rect_center(back_button_rect) 184 | time.sleep(1.5) 185 | # check_and_click_image(image, 'yes_button') 186 | check_and_click_intensity(image) 187 | # 找选项 188 | check_and_click_choices() 189 | # click skip button 190 | mouse_control.click_skip_button(skip_rect) 191 | 192 | 193 | 194 | if __name__ == '__main__': 195 | test() 196 | -------------------------------------------------------------------------------- /workbench/mouse_control.py: -------------------------------------------------------------------------------- 1 | import time 2 | from ctypes import windll, Structure, c_ulong, byref 3 | 4 | windll.shcore.SetProcessDpiAwareness(1) 5 | 6 | 7 | class PointAPI(Structure): 8 | _fields_ = [("x", c_ulong), ("y", c_ulong)] 9 | 10 | 11 | def get_mouse_position(): 12 | po = PointAPI() 13 | windll.user32.GetCursorPos(byref(po)) 14 | return int(po.x), int(po.y) 15 | 16 | 17 | def move_mouse(x, y): 18 | windll.user32.SetCursorPos(x, y) 19 | 20 | 21 | def click_mouse(): 22 | # 模拟鼠标左键按下和释放 23 | windll.user32.mouse_event(2, 0, 0, 0, 0) # 鼠标左键按下 24 | windll.user32.mouse_event(4, 0, 0, 0, 0) # 鼠标左键释放 25 | 26 | 27 | def click_mouse_after_moveto(x, y): 28 | move_mouse(x, y) 29 | click_mouse() 30 | 31 | 32 | def click_rect_center(rect): 33 | time.sleep(0.2) 34 | x, y = get_center(rect) 35 | click_mouse_after_moveto(x, y) 36 | time.sleep(0.2) 37 | move_mouse(0, 0) 38 | # 39 | 40 | 41 | def click_skip_button(rect): 42 | x, y = get_center(rect) 43 | move_mouse(x, y) 44 | 45 | for _ in range(4): 46 | click_mouse() 47 | time.sleep(0.2) 48 | move_mouse(0, 0) 49 | # time.sleep(1) 50 | 51 | 52 | def get_center(rect): 53 | x, y, w, h = rect 54 | center_x = round(x + w / 2) 55 | center_y = round(y + h / 2) 56 | return center_x, center_y 57 | 58 | 59 | def click_intensity(text_rect_list, target_texts): 60 | # if current_language == 'jp': 61 | # target_texts = ['常に高', '高い', '普通', '低い', '常に低'] 62 | # elif current_language == 'kr': 63 | # target_texts = ['매우 높음', '높음', '보통', '낮음', '매우 낮음'] 64 | # else: 65 | # target_texts = ['VeryHigh', 'High', 'Normal', 'Low', 'VeryLow'] 66 | 67 | for target_text in target_texts: 68 | for text, rect in text_rect_list: 69 | if target_text in text: 70 | click_rect_center(rect) 71 | return 72 | 73 | 74 | if __name__ == "__main__": 75 | click_rect_center((1044, 399, 693, 98)) 76 | # # 获取当前鼠标位置 77 | current_x, current_y = get_mouse_position() 78 | print(f"当前鼠标位置：({current_x}, {current_y})") 79 | 80 | # # 移动鼠标到指定位置 81 | # target_x, target_y = 900, 300 82 | # move_mouse(target_x, target_y) 83 | # print(f"移动鼠标到：({target_x}, {target_y})") 84 | 85 | # # 模拟点击鼠标 86 | # click_mouse() 87 | # print("模拟点击鼠标左键") 88 | -------------------------------------------------------------------------------- /workbench/ocr_utils.py: -------------------------------------------------------------------------------- 1 | import json 2 | import os 3 | 4 | from rapidocr_onnxruntime import RapidOCR 5 | from thefuzz import process, fuzz 6 | 7 | from workbench.file_path_utils import PathManager 8 | from workbench.read_settings import SettingsReader 9 | 10 | 11 | class Ocr: 12 | """ 13 | To recognize text in images using the RapidOCR library. 14 | 15 | This class provides a language-aware OCR engine initialization and text recognition functionality. 16 | Depending on the current language settings, it loads the appropriate model for Japanese or Korean text recognition. 17 | For other languages, it initializes the OCR engine with default parameters. 18 | 19 | Attributes: 20 | _model_path_japanese (str): Relative path to the Japanese OCR model file. 21 | _model_path_korean (str): Relative path to the Korean OCR model file. 22 | _choices_path (str): Relative path to the choices dictionary JSON file. 23 | _current_language (str): The currently set language for OCR processing. 24 | _ocr_engine (RapidOCR or None): An instance of the RapidOCR class, initialized based on the current language. 25 | _choices (list): A list of choices for the current language. 26 | 27 | Methods: set_language(cls, language): Sets the current language for OCR processing. init_orc_engine(cls): 28 | Initializes the OCR engine according to the current language setting. get_orc_engine(cls): Retrieves the current 29 | OCR engine instance, initializing if necessary due to a language change. recognize_text(cls, image, 30 | use_det=False, use_cls=False, use_rec=True): Recognizes text in an image and returns the result. 31 | """ 32 | _model_path_jp = os.path.join(PathManager.MODEL_RELPATH, 'japan_PP-OCRv3_rec_infer.onnx') 33 | _model_path_kr = os.path.join(PathManager.MODEL_RELPATH, 'korean_PP-OCRv3_rec_infer.onnx') 34 | _choices_path = os.path.join(PathManager.CURRENT_DIR, 'choices_dict.json') 35 | _current_language = None 36 | # 调用init_orc_engine 37 | _ocr_engine = None 38 | _choices = [] 39 | with open(_choices_path, 'r', encoding='utf-8') as f: 40 | _choices_dict = json.load(f) 41 | 42 | def __init__(self, language): 43 | if language == 'jp': 44 | self.ocr_engine = RapidOCR( 45 | rec_model_path=self._model_path_jp, 46 | ) 47 | elif language == 'kr': 48 | self.ocr_engine = RapidOCR( 49 | rec_model_path=self._model_path_kr, 50 | ) 51 | else: 52 | self.ocr_engine = RapidOCR() 53 | 54 | def check_text_in_rectangles(self, image, rectangles_list, target: str, use_det=False, use_cls=False, use_rec=True): 55 | matched_str = '' 56 | best_rect = None 57 | max_score = -1 58 | for rect in rectangles_list: 59 | x, y, w, h = rect 60 | roi = image[y:y + h, x:x + w] 61 | try: 62 | result_list, _ = self.recognize_text_instance(roi, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 63 | except ValueError: 64 | result_list = self.recognize_text_instance(roi, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 65 | result_str = result_list[0][0] if result_list else None 66 | # 现在使用限定长度差异的choices进行匹配 67 | score = fuzz.ratio(target, result_str) 68 | 69 | # 更新最佳匹配结果 70 | if score > max_score: 71 | max_score = score 72 | matched_str = result_str 73 | best_rect = rect 74 | 75 | return matched_str, best_rect, max_score 76 | 77 | @classmethod 78 | def check_text_in_rectangles_cls(cls, image, rectangles_list, target: str, use_det=False, use_cls=False, 79 | use_rec=True): 80 | matched_str = '' 81 | best_rect = None 82 | max_score = -1 83 | for rect in rectangles_list: 84 | x, y, w, h = rect 85 | roi = image[y:y + h, x:x + w] 86 | try: 87 | result_list, _ = cls.recognize_text(roi, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 88 | except ValueError: 89 | result_list = cls.recognize_text(roi, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 90 | result_str = result_list[0][0] if result_list else None 91 | print(result_str) 92 | # 现在使用限定长度差异的choices进行匹配 93 | score = fuzz.ratio(target, result_str) 94 | 95 | # 更新最佳匹配结果 96 | if score > max_score: 97 | max_score = score 98 | matched_str = result_str 99 | best_rect = rect 100 | 101 | return matched_str, best_rect, max_score 102 | 103 | @classmethod 104 | def init_orc_engine(cls): 105 | if cls._current_language == 'jp': 106 | ocr_engine = RapidOCR( 107 | rec_model_path=cls._model_path_jp, 108 | ) 109 | elif cls._current_language == 'kr': 110 | ocr_engine = RapidOCR( 111 | rec_model_path=cls._model_path_kr, 112 | ) 113 | else: 114 | ocr_engine = RapidOCR() 115 | 116 | return ocr_engine 117 | 118 | @classmethod 119 | def get_orc_engine(cls): 120 | current_language = SettingsReader.read_option('Language', 'current') 121 | if current_language != cls._current_language: 122 | cls._current_language = current_language 123 | cls._choices = cls._choices_dict[current_language] 124 | cls._ocr_engine = cls.init_orc_engine() 125 | 126 | return cls._ocr_engine 127 | 128 | @classmethod 129 | def recognize_text(cls, image, use_det=False, use_cls=False, use_rec=True): 130 | ocr_engine = cls.get_orc_engine() 131 | result, _ = ocr_engine(image, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 132 | return result 133 | 134 | def recognize_text_instance(self, image, use_det=False, use_cls=False, use_rec=True): 135 | result, _ = self.ocr_engine(image, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 136 | return result 137 | 138 | @classmethod 139 | def recognize_rectangles(cls, image, rectangles_list, use_det=False, use_cls=False, use_rec=True): 140 | text_rect_list = [] 141 | for rect in rectangles_list: 142 | x, y, w, h = rect 143 | roi = image[y:y + h, x:x + w] 144 | try: 145 | result_list, _ = cls.recognize_text(roi, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 146 | except ValueError: 147 | result_list = cls.recognize_text(roi, use_det=use_det, use_cls=use_cls, use_rec=use_rec) 148 | result_str = result_list[0][0] if result_list else None 149 | text_rect_list.append([result_str, rect]) 150 | 151 | return text_rect_list 152 | 153 | @classmethod 154 | def get_best_choice(cls, text_rect_list, max_length_diff_ratio=0.6): 155 | max_score = -1 # 初始化最大得分为负数 156 | best_rect = [] 157 | matched_str = '' 158 | 159 | for target, rect in text_rect_list: 160 | print(f'target:{target, rect}') 161 | target_len = len(target) 162 | if target_len < 2: 163 | continue 164 | filtered_choices = [choice for choice in cls._choices 165 | if min(abs(len(choice) - target_len) / target_len, 166 | abs(len(choice) - target_len) / len(choice)) <= max_length_diff_ratio] 167 | 168 | # 现在使用限定长度差异的choices进行匹配 169 | result = process.extractOne(target, filtered_choices) 170 | if result is None: 171 | continue 172 | match = result[0] 173 | score = result[1] 174 | 175 | # 更新最佳匹配结果 176 | if score > max_score: 177 | max_score = score 178 | matched_str = match 179 | best_rect = rect 180 | 181 | return matched_str, best_rect, max_score 182 | 183 | 184 | if __name__ == '__main__': 185 | import time 186 | 187 | img_path = r'C:\Users\Camreishi\PycharmProjects\Limbus-Scripts\opencv_test\output' 188 | start_time = time.time() 189 | for i in range(9): 190 | img_name = f'rect_100{i}.png' 191 | img = os.path.join(img_path, img_name) 192 | ocr_result = Ocr.recognize_text( 193 | img, 194 | use_det=False, use_cls=False, use_rec=True) 195 | print(ocr_result) 196 | end_time = time.time() 197 | print(end_time - start_time) 198 | -------------------------------------------------------------------------------- /workbench/read_settings.py: -------------------------------------------------------------------------------- 1 | import configparser 2 | import os 3 | 4 | from workbench.file_path_utils import PathManager 5 | 6 | 7 | class SettingsReader: 8 | config_path = os.path.join(PathManager.ROOT_RELPATH, 'settings.ini') 9 | config = configparser.ConfigParser() 10 | encoding = 'utf-8' 11 | 12 | @classmethod 13 | def read_option(cls, section, option): 14 | cls.config.read(cls.config_path, encoding=cls.encoding) 15 | return cls.config.get(section, option) 16 | 17 | @classmethod 18 | def read_option_language(cls, section, option): 19 | lang = cls.read_option(section, option) 20 | lang_data = { 21 | 'en': "English", 22 | 'jp': "日本語", 23 | 'kr': "한국어", 24 | 'zh':"零协汉化", 25 | } 26 | return lang_data[lang] 27 | 28 | @classmethod 29 | def set_option(cls, section, option, value): 30 | cls.config.read(cls.config_path, encoding=cls.encoding) 31 | cls.config.set(section, option, value) 32 | cls.write_config() 33 | 34 | @classmethod 35 | def write_config(cls): 36 | with open(cls.config_path, 'w', encoding=cls.encoding) as config_file: 37 | cls.config.write(config_file) 38 | 39 | 40 | # 示例用法 41 | if __name__ == '__main__': 42 | # 读取当前设置 43 | language_current = SettingsReader.read_option('Language', 'current') 44 | print(f"当前语言: {language_current}") 45 | 46 | shortcut1 = SettingsReader.read_option('Shortcut', 'shortcut1') 47 | shortcut2 = SettingsReader.read_option('Shortcut', 'shortcut2') 48 | print(f"快捷键1: {shortcut1}, 快捷键2: {shortcut2}") 49 | 50 | # 设置新的语言并保存到文件 51 | SettingsReader.set_option('Language', 'current', 'jp') 52 | new_language = SettingsReader.read_option('Language', 'current') 53 | print(f"已将当前语言设置为: {new_language}") 54 | 55 | # 更改快捷键设置 56 | SettingsReader.set_option('Shortcut', 'shortcut1', 'P') 57 | new_shortcut1 = SettingsReader.read_option('Shortcut', 'shortcut1') 58 | print(f"已将快捷键1设置为: {new_shortcut1}") 59 | -------------------------------------------------------------------------------- /workbench/ui_config.py: -------------------------------------------------------------------------------- 1 | views = {} 2 | HOME_PAGE_SIZE = [200, 300] 3 | SETTING_PAGE_SIZE = HOME_PAGE_SIZE 4 | MAIN_COLOR = "#240e13" 5 | RECORD_BUTTON_COLOR = "#fbeff3" 6 | RECORD_TEXT_COLOR = "#bb1614" 7 | ALWAYS_ON_TOP = True 8 | -------------------------------------------------------------------------------- /workbench/worklist.json: -------------------------------------------------------------------------------- 1 | { 2 | "battle_checked":[ 3 | "gear_1690.png", 4 | "gear2_1690.png", 5 | 6 | "gear_fullscreen.png", 7 | "gear2_fullscreen.png" 8 | ], 9 | "bad_checked_jp":[ 10 | "bad_jp_1690.png", 11 | "badbad_jp_1690.png", 12 | 13 | "bad_jp_fullscreen.png", 14 | "badbad_jp_fullscreen.png" 15 | ], 16 | "bad_checked_en": [ 17 | "bad_en_1690.png", 18 | "badbad_en_1690.png", 19 | 20 | "bad_en_fullscreen.png", 21 | "badbad_en_fullscreen.png" 22 | ], 23 | "bad_checked_kr": [ 24 | "bad_kr_1690.png", 25 | "badbad_kr_1690.png", 26 | 27 | "bad_kr_fullscreen.png", 28 | "badbad_kr_fullscreen.png" 29 | ], 30 | "bad_checked_zh": [ 31 | "bad_zh_1690.png", 32 | "badbad_zh_1690.png", 33 | 34 | "bad_zh_fullscreen.png", 35 | "badbad_zh_fullscreen.png" 36 | ], 37 | "ego_click":[ 38 | "ego4_1690.png", 39 | "ego4_fullscreen.png", 40 | "ego3_1690.png", 41 | "ego3_fullscreen.png", 42 | "ego2_1690.png", 43 | "ego2_fullscreen.png", 44 | "ego1_1690.png", 45 | "ego1_fullscreen.png" 46 | ], 47 | "property":[ 48 | "melancholy_1690.png", 49 | 50 | "melancholy_fullscreen.png" 51 | ], 52 | "death_checked_jp":[ 53 | "death_jp_1690.png", 54 | 55 | "death_jp_fullscreen.png" 56 | ], 57 | "death_checked_en": [ 58 | "death_en_1690.png", 59 | "death_en_fullscreen.png" 60 | ], 61 | "death_checked_kr": [ 62 | "death_kr_1690.png", 63 | "death_kr_fullscreen.png" 64 | ], 65 | "death_checked_zh": [ 66 | "death_zh_1690.png", 67 | "death_zh_fullscreen.png" 68 | ], 69 | "death_click": [ 70 | "button_setting_1690.png", 71 | "button_close_1690.png", 72 | 73 | "button_setting_fullscreen.png", 74 | "button_close_fullscreen.png" 75 | ], 76 | "encounters_checked":[ 77 | "encounter_1690.png", 78 | 79 | "encounter_fullscreen.png" 80 | ], 81 | "encounters_click": [ 82 | [ 83 | "button_sk_1690.png", 84 | "button_ip_1690.png", 85 | 86 | "button_sk_fullscreen.png", 87 | "button_ip_fullscreen.png" 88 | ], 89 | [ 90 | "back_button_1690.png", 91 | 92 | "back_button_fullscreen.png" 93 | ] 94 | ], 95 | "store_checked":[ 96 | "store_1690.png", 97 | "store_fullscreen.png" 98 | ], 99 | "store_click": [ 100 | "button_yes_1690.png", 101 | "button_yes_fullscreen.png" 102 | ], 103 | "chair_checked": [ 104 | "chair_1690.png", 105 | "chair_fullscreen.png" 106 | ], 107 | "chair_click": [ 108 | "button_yes2_1690.png", 109 | "button_yes2_fullscreen.png" 110 | ], 111 | "abnormality_click":[ 112 | "option_1690.png", 113 | "option_fullscreen.png" 114 | ], 115 | "vote_checked_jp": [ 116 | "button_vote5_jp_1690.png", 117 | "button_vote3_jp_1690.png", 118 | "button_vote1_jp_1690.png", 119 | 120 | "button_vote5_jp_fullscreen.png", 121 | "button_vote3_jp_fullscreen.png", 122 | "button_vote1_jp_fullscreen.png" 123 | ], 124 | "vote_click_jp":[ 125 | "button_vote5_jp_1690.png", 126 | "button_vote4_jp_1690.png", 127 | "button_vote3_jp_1690.png", 128 | "button_vote2_jp_1690.png", 129 | "button_vote1_jp_1690.png", 130 | 131 | "button_vote5_jp_fullscreen.png", 132 | "button_vote4_jp_fullscreen.png", 133 | "button_vote3_jp_fullscreen.png", 134 | "button_vote2_jp_fullscreen.png", 135 | "button_vote1_jp_fullscreen.png" 136 | ], 137 | "vote_checked_en": [ 138 | "button_vote5_en_1690.png", 139 | "button_vote3_en_1690.png", 140 | "button_vote1_en_1690.png", 141 | "button_vote5_en_fullscreen.png", 142 | "button_vote3_en_fullscreen.png", 143 | "button_vote1_en_fullscreen.png" 144 | ], 145 | "vote_click_en": [ 146 | "button_vote5_en_1690.png", 147 | "button_vote4_en_1690.png", 148 | "button_vote3_en_1690.png", 149 | "button_vote2_en_1690.png", 150 | "button_vote1_en_1690.png", 151 | "button_vote5_en_fullscreen.png", 152 | "button_vote4_en_fullscreen.png", 153 | "button_vote3_en_fullscreen.png", 154 | "button_vote2_en_fullscreen.png", 155 | "button_vote1_en_fullscreen.png" 156 | ], 157 | "vote_checked_kr": [ 158 | "button_vote5_kr_1690.png", 159 | "button_vote3_kr_1690.png", 160 | "button_vote1_kr_1690.png", 161 | "button_vote5_kr_fullscreen.png", 162 | "button_vote3_kr_fullscreen.png", 163 | "button_vote1_kr_fullscreen.png" 164 | ], 165 | "vote_click_kr": [ 166 | "button_vote4_kr_1690.png", 167 | "button_vote3_kr_1690.png", 168 | "button_vote2_kr_1690.png", 169 | "button_vote1_kr_1690.png", 170 | "button_vote5_kr_fullscreen.png", 171 | "button_vote4_kr_fullscreen.png", 172 | "button_vote3_kr_fullscreen.png", 173 | "button_vote2_kr_fullscreen.png", 174 | "button_vote1_kr_fullscreen.png" 175 | ], 176 | "vote_checked_zh": [ 177 | "button_vote5_zh_1690.png", 178 | "button_vote3_zh_1690.png", 179 | "button_vote1_zh_1690.png", 180 | "button_vote5_zh_fullscreen.png", 181 | "button_vote3_zh_fullscreen.png", 182 | "button_vote1_zh_fullscreen.png" 183 | ], 184 | "vote_click_zh": [ 185 | "button_vote4_zh_1690.png", 186 | "button_vote3_zh_1690.png", 187 | "button_vote2_zh_1690.png", 188 | "button_vote1_zh_1690.png", 189 | "button_vote5_zh_fullscreen.png", 190 | "button_vote4_zh_fullscreen.png", 191 | "button_vote3_zh_fullscreen.png", 192 | "button_vote2_zh_fullscreen.png", 193 | "button_vote1_zh_fullscreen.png" 194 | ], 195 | "stage_checked":[ 196 | "stage_1690.png", 197 | 198 | "stage_fullscreen.png" 199 | ], 200 | "stage_click":[ 201 | "bus_1690.png", 202 | 203 | "bus_fullscreen.png" 204 | ], 205 | 206 | "start_mirror":[ 207 | "backplz_1690.png", 208 | "normal_1690.png", 209 | "button_yes4_1690.png", 210 | "button_yes3_1690.png" 211 | ], 212 | "bleed_checked": [ 213 | [ 214 | "muzzle_1690.png" 215 | ], 216 | [ 217 | "wire_1690.png" 218 | ] 219 | ], 220 | "bleed_click": [ 221 | "muzzle_1690.png", 222 | "wire_1690.png", 223 | "muzzle2_1690.png", 224 | "wire2_1690.png" 225 | ], 226 | "breath_checked": [ 227 | [ 228 | "horseshoe_1690.png" 229 | ], 230 | [ 231 | "leaf_1690.png" 232 | ] 233 | ], 234 | "breath_click": [ 235 | "horseshoe_1690.png", 236 | "leaf_1690.png", 237 | "horseshoe2_1690.png", 238 | "leaf2_1690.png" 239 | ], 240 | "burn_checked": [ 241 | [ 242 | "ashes_1690.png" 243 | ], 244 | [ 245 | "dust_1690.png" 246 | ] 247 | ], 248 | "burn_click": [ 249 | "ashes_1690.png", 250 | "dust_1690.png", 251 | "ashes2_1690.png", 252 | "dust2_1690.png" 253 | ], 254 | "fracture_checked": [ 255 | [ 256 | "branch_1690.png" 257 | ], 258 | [ 259 | "battery_1690.png" 260 | ] 261 | ], 262 | "fracture_click": [ 263 | "branch_1690.png", 264 | "battery_1690.png", 265 | "branch2_1690.png", 266 | "battery2_1690.png" 267 | ], 268 | "end_mirror": [ 269 | "back_1690.png", 270 | "normal_1690.png", 271 | "over_1690.png", 272 | "button_yes4_1690.png", 273 | "button_close_1690.png" 274 | ] 275 | 276 | } --------------------------------------------------------------------------------