├── .gitignore ├── plugin ├── poppler-0.68.0 │ └── bin │ │ ├── zlib1.dll │ │ ├── README-XPDF │ │ ├── jpeg62.dll │ │ ├── pdfinfo.exe │ │ ├── pdftops.exe │ │ ├── freetype6.dll │ │ ├── libcairo-2.dll │ │ ├── libexpat-1.dll │ │ ├── libtiff3.dll │ │ ├── pdfdetach.exe │ │ ├── pdffonts.exe │ │ ├── pdfimages.exe │ │ ├── pdftocairo.exe │ │ ├── pdftohtml.exe │ │ ├── pdftoppm.exe │ │ ├── pdftotext.exe │ │ ├── pdfunite.exe │ │ ├── libpng16-16.dll │ │ ├── libstdc++-6.dll │ │ ├── pdfseparate.exe │ │ ├── libfontconfig-1.dll │ │ ├── libgcc_s_dw2-1.dll │ │ ├── libpixman-1-0.dll │ │ ├── libpoppler-79.dll │ │ ├── libpoppler-cpp-0.dll │ │ ├── AUTHORS │ │ ├── BINARIES │ │ ├── README │ │ ├── COPYING │ │ └── COPYING3 └── pytesseract │ ├── __pycache__ │ ├── __init__.cpython-38.pyc │ └── pytesseract.cpython-38.pyc │ ├── __init__.py │ └── pytesseract.py ├── requirements.txt ├── config.yaml ├── README.md ├── run.py ├── Universal.py ├── LICENSE └── result └── 美赛各奖项计数条形图.svg /.gitignore: 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Pillow==9.1.0 7 | PyYAML==6.0 8 | Requests==2.30.0 9 | -------------------------------------------------------------------------------- /plugin/poppler-0.68.0/bin/libfontconfig-1.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/leost123456/MCM-ICM-Crawler/HEAD/plugin/poppler-0.68.0/bin/libfontconfig-1.dll -------------------------------------------------------------------------------- /plugin/poppler-0.68.0/bin/libgcc_s_dw2-1.dll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/leost123456/MCM-ICM-Crawler/HEAD/plugin/poppler-0.68.0/bin/libgcc_s_dw2-1.dll -------------------------------------------------------------------------------- /plugin/poppler-0.68.0/bin/libpixman-1-0.dll: -------------------------------------------------------------------------------- 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#注意可能由于国内IP问题，爬取速度会变慢，建议采用代理国外IP进行爬取，速度更快。 2 | 3 | #比赛年份 4 | year : 2024 5 | 6 | #爬取的序号范围(默认为1-31000，即队伍号为2400001-2431000) 7 | index: 1-31000 8 | 9 | #线程数，根据自己的CPU性能进行选择。默认50 10 | n_thread: 50 11 | 12 | #本地代理IP，若无本地代理IP则填None 13 | proxy: http://127.0.0.1:10809 14 | 15 | #你安装的tesseract目录中的tesseract.exe文件的路径(下面是示例) 16 | tesseract_exe: D:\0\other\tesseract\tesseract.exe 17 | 18 | #下载安装的tessdata语言包的路径(下面是示例) 19 | tessdata: D:\0\other\tessdata 20 | -------------------------------------------------------------------------------- /plugin/pytesseract/__init__.py: -------------------------------------------------------------------------------- 1 | # flake8: noqa: F401 2 | from .pytesseract import ALTONotSupported 3 | from .pytesseract import get_languages 4 | from .pytesseract import get_tesseract_version 5 | from .pytesseract import image_to_alto_xml 6 | from .pytesseract import image_to_boxes 7 | from .pytesseract import image_to_data 8 | from .pytesseract import image_to_osd 9 | from .pytesseract import image_to_pdf_or_hocr 10 | from .pytesseract import image_to_string 11 | from .pytesseract import Output 12 | from .pytesseract import run_and_get_output 13 | from .pytesseract import TesseractError 14 | from .pytesseract import TesseractNotFoundError 15 | from .pytesseract import TSVNotSupported 16 | 17 | 18 | __version__ = '0.3.10' 19 | -------------------------------------------------------------------------------- /plugin/poppler-0.68.0/bin/BINARIES: -------------------------------------------------------------------------------- 1 | Version 0.33.0 2 | 3 | Compiled by Alivate Australia 2015 4 | 5 | Unless otherwise stated, the software on this site is distributed in the hope 6 | that it will be useful, but WITHOUT ANY WARRANTY; without even the implied 7 | warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. THERE IS NO 8 | WARRANTY FOR THE SOFTWARE, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT 9 | WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS PROVIDE THE SOFTWARE 10 | "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, 11 | BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR 12 | A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF 13 | THE SOFTWARE IS WITH YOU. SHOULD THE SOFTWARE PROVE DEFECTIVE, YOU ASSUME THE 14 | COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. IN NO EVENT UNLESS 15 | REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, 16 | BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR 17 | CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE SOFTWARE 18 | (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE 19 | OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE SOFTWARE TO 20 | OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER HAS BEEN ADVISED OF 21 | THE POSSIBILITY OF SUCH DAMAGES. 22 | 23 | http://blog.alivate.com.au/poppler-windows 24 | -------------------------------------------------------------------------------- /plugin/poppler-0.68.0/bin/README: -------------------------------------------------------------------------------- 1 | This is poppler, a PDF rendering library. 2 | 3 | Poppler is a fork of the xpdf PDF viewer developed by Derek Noonburg 4 | of Glyph and Cog, LLC. The purpose of forking xpdf is twofold. 5 | First, we want to provide PDF rendering functionality as a shared 6 | library, to centralize the maintenance effort. Today a number of 7 | applications incorporate the xpdf code base, and whenever a security 8 | issue is discovered, all these applications exchange patches and put 9 | out new releases. In turn, all distributions must package and release 10 | new version of these xpdf based viewers. It's safe to say that 11 | there's a lot of duplicated effort with the current situation. Even if 12 | poppler in the short term introduces yet another xpdf derived code 13 | base to the world, we hope that over time these applications will 14 | adopt poppler. After all, we only need one application to use poppler 15 | to break even. 16 | 17 | Second, we would like to move libpoppler forward in a number of areas 18 | that don't fit within the goals of xpdf. By design, xpdf depends on 19 | very few libraries and runs a wide range of X based platforms. This 20 | is a strong feature and reasonable design goal. However, with poppler 21 | we would like to replace parts of xpdf that are now available as 22 | standard components of modern Unix desktop environments. One such 23 | example is fontconfig, which solves the problem of matching and 24 | locating fonts on the system, in a standardized and well understood 25 | way. Another example is cairo, which provides high quality 2D 26 | rendering. See the file TODO for a list of planned changes. 27 | 28 | Please note that xpdf, and thus poppler, is licensed under the GPL, 29 | not the LGPL. Consequently, any application using poppler must also 30 | be licensed under the GPL. If you want to incorporate Xpdf based PDF 31 | rendering in a closed source product, please contact Glyph & Cog 32 | (www.glyphandcog.com) for commercial licensing options. Note that 33 | this only allows you to use xpdf in a closed source product, 34 | not poppler itself. 35 | 36 | Kristian Høgsberg, Feb. 27, 2005 37 | 38 | 39 | See the README-XPDF for the original xpdf-3.03 README. 40 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # :bug:**2024年美赛成绩爬虫和可视化分析** 2 | 3 | :arrow_heading_down:**你可以通过以下两种方式运行本程序** 4 | 5 | #### :golf:**1.一键运行安装包** 6 | 7 | 1. 去release中解压MCM-ICM-Crawler文件，其中已经帮你配置好tesseract目录中的**tesseract.exe文件和**和**tessdata语言包**，你只需要更改config.yaml文件中的比赛年份、爬取序号范围、线程数、代理IP。 8 | 2. 进入终端输入指令 pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt安装依赖。 9 | 3. 输入指令python run.py即可运行程序。 10 | 11 | #### :computer:**2.源码运行** 12 | 13 | 需要python版本>=3.8 14 | 15 | 1. git clone https://github.com/leost123456/MCM-ICM-Crawler.git 到本地仓库，或者直接下载源码。 16 | 2. 下载tesseract和其语言包，windows用户可去[**链接**](https://digi.bib.uni-mannheim.de/tesseract/)进行下载，并完成安装。 17 | 3. 完成安装后，在config.yaml文件中填写tesseract目录中的**tesseract.exe文件的路径**、**tessdata语言包**的路径、比赛年份、爬取序号范围、线程数、代理IP。 18 | 4. 在终端中输入指令 pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt安装依赖。 19 | 5. 最后输入指令python run.py 程序即可运行。 20 | 21 | #### :o:**3.输出结果** 22 | 23 | 1. 所有成绩奖状图片（将存放在result目录下的Award picture目录中） 24 | 2. 文件数据（包括队伍号、队员名称、指导老师名称、学校、奖项，存放在result目录下的data.csv文件中） 25 | 3. 可视化图片（8张分析图片） 26 | 27 | --- 28 | 29 | ### :black_flag:**结果展示** 30 | 31 | **最终一共获得了28480条数据，可视化如下所示：** 32 | 33 | **1.美赛各奖项计数情况** 34 | 35 | [![image.png](https://i.postimg.cc/GmLkWBzt/image.png)](https://postimg.cc/56rYv2hW) 36 | 37 | **2.美赛各参加学校计数前十五名** 38 | 39 | [![image.png](https://i.postimg.cc/s1dnfmtQ/image.png)](https://postimg.cc/dZ6R42Qw) 40 | 41 | **3.获得Successful Participant奖项最多前十五名学校名称** 42 | 43 | [![Successful-Participant.png](https://i.postimg.cc/d1fHpw69/Successful-Participant.png)](https://postimg.cc/BLxB1Wd8) 44 | 45 | **4.获得Honorable Mention奖项最多前十五名学校名称** 46 | 47 | [![Honorable-Mention.png](https://i.postimg.cc/rpcvNVZ0/Honorable-Mention.png)](https://postimg.cc/gxSSYWWm) 48 | 49 | 5**.获得Meritorious Winner奖项最多前十五名学校名称** 50 | 51 | [![Meritorious-Winner.png](https://i.postimg.cc/SxLPR0Qy/Meritorious-Winner.png)](https://postimg.cc/Yv9RDsmV) 52 | 53 | 6.**获得Finalist奖项最多前十五名学校名称** 54 | 55 | [![Finalist.png](https://i.postimg.cc/vZ5Jnghw/Finalist.png)](https://postimg.cc/k2XY35LT) 56 | 57 | **7.获得Outstanding Winner奖项最多前十五名学校名称** 58 | 59 | [![Outstanding-Winner.png](https://i.postimg.cc/BvMw5x1k/Outstanding-Winner.png)](https://postimg.cc/B8Pg4PpB) 60 | 61 | --- 62 | 63 | ### :key:**免责声明** 64 | 65 | **本项目仅供学习参考，如用于其他违法行为，后果自负，本人概不负责。** -------------------------------------------------------------------------------- /run.py: -------------------------------------------------------------------------------- 1 | import re 2 | import threading #用于多线程操作 3 | import queue 4 | import os 5 | from loguru import logger 6 | from Universal import request_data,extract_data,save_data,plot_data 7 | import yaml 8 | 9 | #主运行函数 10 | def main(): 11 | while not q.empty(): #队列不为空 12 | url_index=q.get() #拿到序号 13 | 14 | if (url_index+1)%1000 ==0: #每进行1000轮保存一次数据 15 | save_data(Team_number_list,Team_members_1_list,Team_members_2_list,Team_members_3_list,Instructor_list, 16 | School_list,Awards_list) 17 | 18 | url=base_url+str(url_index)+'.pdf' #构造url 19 | 20 | #发送请求并转化成图片 21 | image=request_data(url,image_path,proxy) 22 | 23 | #OCR识别并进行数据提取 24 | if image != None : #如果可以正确读取数据 25 | try: 26 | student_name,faculty_name,school,awards=extract_data(tessdata,image,url_index,detect_advisor,student_name_re,faculty_name_re,school_re,awards_re) 27 | except Exception as e: 28 | continue 29 | #下面进行申请获取锁(防止多线程写入混乱) 30 | muti_lock.acquire() 31 | 32 | #存入列表（队伍号、队员1、队员2、队员3、指导教师、学校、奖项） 33 | Team_number_list.append(url_index) 34 | Team_members_1_list.append(student_name[0]) 35 | Team_members_2_list.append(student_name[1]) 36 | Team_members_3_list.append(student_name[2]) 37 | Instructor_list.append(faculty_name) 38 | School_list.append(school) 39 | Awards_list.append(awards) 40 | 41 | #释放锁 42 | muti_lock.release() 43 | logger.success(f'成功提取号码为{url_index}的数据') 44 | else: 45 | continue 46 | 47 | if __name__ == '__main__': 48 | # 导入poppler到系统变量中(用户变量) 49 | # 获取当前系统变量 50 | env = os.environ 51 | # 导入 52 | if 'PATH' in env: 53 | env['PATH'] += f";{os.path.abspath('.')}\\plugin\\poppler-0.68.0\\bin" 54 | else: 55 | env['PATH'] = f"{os.path.abspath('.')}\\plugin\\poppler-0.68.0\\bin" 56 | # 更新(注意只会注入其中一次，运行完毕后删除) 57 | os.environ = env 58 | 59 | # 下面进行读取配置文件 60 | logger.info('正在读取配置文件') 61 | try: 62 | with open('config.yaml', 'r', encoding='utf-8') as f: 63 | config = yaml.safe_load(f) 64 | year = config['year'] # 年份 65 | index = list(filter(None, config['index'].split('-'))) # 总共爬取的队伍序号范围，列表形式['1','24000'] 66 | n_thread = config['n_thread'] # 线程数量 67 | proxy=config['proxy'] #代理 68 | try: 69 | tessdata = config['tessdata'] # 语言包路径 70 | except: 71 | logger.error('tessdata语言包路径有误') 72 | exit() 73 | logger.success('成功读取配置文件，开始进行爬取') 74 | except Exception as e: 75 | logger.error('配置文件有误，请检查') 76 | exit() 77 | 78 | # 创建存储目录 79 | os.makedirs('result', exist_ok=True) #存储图片、数据和数据分析结果 80 | os.makedirs('result\\Award Picture',exist_ok=True) #存储奖状图片 81 | image_path='result\\Award Picture' #存储图片的地址 82 | base_url=rf'https://www.comap-math.com/mcm/{str(year)}Certs/' #基础url 83 | 84 | # 下面设置正则表达式用于文本匹配 85 | detect_advisor = re.compile(r'.*With.*[Student|Faculty].*Advisor.*', re.I | re.S ) #检测文本是否正确 86 | # 1进行匹配学生姓名 87 | student_name_re = re.compile(r'.*The Team [0|O]f(.*)With [Student|Faculty]', re.I | re.S) 88 | # 2进行匹配老师姓名 89 | faculty_name_re = re.compile(r'.*With.*Advisor(.+?)[0|O]f.*Was Designated',re.I | re.S) 90 | # 3进行匹配学校 91 | school_re = re.compile(r'With.*Advisor.*[0|O]f\n(.+?)Was Designated As.*',re.I | re.S | re.DOTALL) 92 | # 4进行匹配奖项 93 | awards_re = re.compile(r'Was Designated As(.*)\n+.+',re.I | re.S | re.DOTALL) 94 | #创建队列 95 | n=int(index[1])-int(index[0])+1 #爬取的总数量 96 | q=queue.Queue(maxsize=n) 97 | #将url数据存入队列中 98 | 99 | for i in range(int(index[0]),int(index[1])): 100 | q.put(2400000+i) 101 | 102 | # 下面创建一个线程锁对象，防止多线程存入结果中发生错乱（通过后续调用acquire和release方法来使用）,全局变量用于main() 103 | muti_lock = threading.Lock() 104 | 105 | # 创建存储列表 106 | Team_number_list=[] #存储队伍号 107 | Team_members_1_list=[] #队员1 108 | Team_members_2_list = [] #队员2 109 | Team_members_3_list = [] #队员3 110 | Instructor_list=[] #指导老师 111 | School_list=[] #学校 112 | Awards_list=[] #奖项 113 | 114 | # 下面进行创建多线程操作 115 | thread = [] # 存储所有线程对象 116 | for i in range(n_thread): # 50个线程 117 | t = threading.Thread(target=main, name='LoopThread' + str(i + 1)) # 其中target就是每个线程运行的程序，name就是标记下名字 118 | t.start() 119 | thread.append(t) 120 | 121 | #下面设置等待所有进行结束再运行下一步 122 | for t in thread: 123 | t.join() 124 | 125 | #进行最后一次存储数据 126 | result_csv=save_data(Team_number_list,Team_members_1_list,Team_members_2_list,Team_members_3_list,Instructor_list, 127 | School_list,Awards_list) 128 | logger.success(f'已完成所有数据的爬取，总共爬取到{len(result_csv)}份有效数据，文字信息数据已保存在result/data.csv中，奖状图片已保存在result/Award Picture文件夹下') 129 | logger.info('下面进行数据可视化分析') 130 | plot_data(result_csv) 131 | logger.success('已完成所有数据可视化分析，结果图片保存在result文件夹下') 132 | 133 | 134 | 135 | 136 | 137 | 138 | 139 | 140 | 141 | 142 | 143 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | 151 | 152 | 153 | -------------------------------------------------------------------------------- /Universal.py: -------------------------------------------------------------------------------- 1 | import random 2 | import requests 3 | import pandas as pd 4 | import matplotlib.pyplot as plt 5 | import re 6 | import numpy as np 7 | from pdf2image import convert_from_bytes 8 | from plugin.pytesseract import pytesseract #用于OCR识别 9 | from PIL import Image 10 | import os 11 | from loguru import logger 12 | from matplotlib import rcParams 13 | 14 | config = {"font.family":'Times New Roman'} # 设置画图字体类型 15 | rcParams.update(config) #进行更新配置 16 | 17 | #下面发送请求并将pdf文件转化为png图片格式 18 | def request_data(url,image_path,proxy): #其中url是传入的url 19 | team_number = url.split('/')[-1].split('.')[0] # 拿到队伍号 20 | # user_agent列表 21 | user_agent_list = [ 22 | 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER', 23 | 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)', 24 | 'Mozilla/5.0 (Windows NT 5.1) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 SE 2.X MetaSr 1.0', 25 | 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.4.3.4000 Chrome/30.0.1599.101 Safari/537.36', 26 | 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 UBrowser/4.0.3214.0 Safari/537.36' 27 | ] 28 | # refere 29 | # 先构造请求头 30 | User_Agent = random.choice(user_agent_list) # 获取随机生成user_agent和referer用于伪装 31 | headers = { 32 | "User-Agent": User_Agent, 33 | } 34 | # 发送请求 35 | try: 36 | response = requests.get(url, headers=headers,proxies={'https':proxy,'http':proxy}) # 发送请求（注意这里的代理） 37 | team_number = url.split('/')[-1].split('.')[0] # 拿到队伍号 38 | if not str(response.status_code).startswith('4'): #不是返回4开头的状态码 39 | # 下面进行将读取的二进制pdf数据存储为png图片格式 40 | image = convert_from_bytes(response.content) # 将读取二进制数据并转化为图片 41 | # 进行读取pdf内容并保存到本地 42 | image[0].save(f'{image_path}\\{str(team_number)}.png', 'PNG') # 将图片进行保存到对应的文件中（png格式，注意只有1页） 43 | image = Image.open(os.path.join(image_path, f'{team_number}.png')) # 导入图像 44 | #logger.success('转化图片成功') 45 | return image 46 | else: 47 | logger.error(f'号码为{team_number}的队伍不存在') 48 | pass 49 | except Exception as e: #网页打不开 50 | logger.error(f'号码为{team_number}的队伍不存在',str(e)) 51 | return None 52 | 53 | #下面进行OCR识别并进行提取需要的数据 54 | def extract_data(tessdata,image,team_number,detect_advisor,student_name_re,faculty_name_re,school_re,awards_re): #输入图像 55 | try: 56 | #进行OCR识别 57 | tessdata_dir_config = f'--tessdata-dir "{tessdata}"' #语言包地址（外部导入） 58 | text=pytesseract.image_to_string(image,config=tessdata_dir_config,lang='eng') #进行OCR识别（英语） 59 | #进行匹配 60 | if detect_advisor.findall(text): #如果是有advisor的 61 | student_name=list(filter(None,student_name_re.search(text).group(1).strip('\n').strip().split('\n'))) #列表形式,并过滤空字符串 学生 62 | faculty_name=faculty_name_re.search(text).group(1).strip('\n') #字符串形式 老师 63 | school = school_re.search(text).group(1).strip('\n') # 字符串形式 学校 64 | else: #有些奖状错误（要重新匹配学生和老师、学校） 65 | # 匹配姓名 66 | name_re1 = re.compile(r'.*The Team [0|O]f(.*)[0|O]f.+Was Designated', re.I | re.S) 67 | name_list = list(filter(None, name_re1.search(text).group(1).strip('\n').strip().split('\n'))) 68 | index=name_list.index('Of') if 'Of' in name_list else name_list.index('of') #查找of的序号 69 | student_name=name_list[:index-1] 70 | faculty_name=name_list[index-1] 71 | school=name_list[index+1] 72 | 73 | awards=awards_re.search(text).group(1).strip('\n').split(sep='\n')[0] #字符串形式 74 | 75 | #对学生列表确保长度为3（添加空白字符串） 76 | student_name+=['']*(3-len(student_name)) 77 | 78 | #logger.success('OCR识别成功，数据提取成功') 79 | 80 | return student_name,faculty_name,school,awards 81 | except Exception as e: 82 | logger.error(f'队伍号为{team_number}的OCR识别和数据提取出错',str(e)) 83 | pass 84 | 85 | #进行保存数据到csv文件中 86 | def save_data(Team_number_list,Team_members_1_list,Team_members_2_list,Team_members_3_list,Instructor_list, 87 | School_list,Awards_list): 88 | result_csv=pd.DataFrame() 89 | result_csv['Team number']=Team_number_list 90 | result_csv['Team members 1'] = Team_members_1_list 91 | result_csv['Team members 2'] = Team_members_2_list 92 | result_csv['Team members 3'] = Team_members_3_list 93 | result_csv['Instructor'] =Instructor_list 94 | result_csv['School'] = School_list 95 | result_csv['Awards'] = Awards_list 96 | result_csv.sort_values(by='Team number',inplace=True,ascending=True) #按队伍号升序 97 | result_csv.to_csv('result\\data.csv',index=None,encoding='utf-8') 98 | return result_csv 99 | 100 | #进行数据分析出图(如果有数据可以单独调用) 101 | def plot_data(result_csv): 102 | result_csv['School'] = result_csv['School'].str.upper() # 全部变为大写 103 | # 奖项名称 104 | Awards_name = ['Not Judged', 'Disqualified - P', 'Unsuccessful - I', 'Successful Participant', 'Honorable Mention', 105 | 'Meritorious Winner', 'Finalist', 'Outstanding Winner'] 106 | # 进行统计各奖项(降序) 107 | values_count = result_csv['Awards'].value_counts() # 字典形式 108 | num_list = [] 109 | for name in Awards_name: 110 | num_list.append(len(result_csv[result_csv['Awards'] == name])) 111 | 112 | # 1绘制奖状数量条形图 113 | height=0.25 #高度（每个条形之间） 114 | index=np.arange(len(num_list)) #特征类别个数 115 | plt.figure(figsize=(8, 6)) 116 | plt.rcParams['axes.unicode_minus']=False #用来正常显示正负号 117 | plt.style.use('seaborn-whitegrid') 118 | plt.tick_params(size=5, labelsize=13) # 坐标轴 119 | plt.barh(index,num_list,height=height,color='#F21855',alpha=1) #从下往上 120 | for i,data in enumerate(num_list): 121 | plt.text(data,index[i]-0.11,round(data,1),fontsize=13,family='Times New Roman') 122 | plt.yticks(index,Awards_name) #设置y轴的标签 123 | plt.xlabel('计数',fontsize=13,family='SimHei') #注意这个还是横轴的 124 | plt.ylabel('奖项',fontsize=13,family='Times New Roman') #竖轴的标签 125 | plt.title('美赛各奖项计数',fontsize=15,family='SimHei') 126 | plt.savefig(r'result/美赛各奖项计数条形图.svg',format='svg',bbox_inches='tight') 127 | plt.show() 128 | 129 | # 2绘制参赛学校数量的条形图（从高到底） 130 | school_count=result_csv['School'].value_counts() 131 | school_name=school_count.keys().tolist()[:15][::-1] #显示前15所学校 132 | school_num=list(school_count.values[:15])[::-1] 133 | height=0.4 #高度（每个条形之间） 134 | index=np.arange(len(school_num)) #特征类别个数 135 | plt.figure(figsize=(8, 6)) 136 | plt.rcParams['axes.unicode_minus']=False 137 | plt.style.use('seaborn-whitegrid') 138 | plt.tick_params(size=5, labelsize=13) # 坐标轴 139 | plt.barh(index,school_num,height=height,color='#bf0000',alpha=1) #从下往上 140 | for i,data in enumerate(school_num): 141 | plt.text(data,index[i]-0.17,round(data,1),fontsize=13,family='Times New Roman') 142 | plt.yticks(index,school_name) #设置y轴的标签 143 | plt.xlabel('计数',fontsize=13,family='SimHei') #注意这个还是横轴的 144 | plt.ylabel('学校名称',fontsize=13,family='SimHei') #竖轴的标签 145 | plt.title('美赛各参加学校参赛计数前十五名',fontsize=15,family='SimHei') 146 | plt.savefig(r'result/美赛各参加学校计数前十五名条形图.svg',format='svg',bbox_inches='tight') 147 | plt.show() 148 | 149 | # 3队伍不同参加人数的计数柱形图（1人，2人，3人） 150 | # 计算每队参赛队员人数 151 | result_csv.fillna(0, inplace=True) # 填补缺失值用于统计 152 | result_csv['total number'] = result_csv['Team members 1'].apply(lambda x: 1 if x != 0 else 0) + \ 153 | result_csv['Team members 2'].apply(lambda x: 1 if x != 0 else 0) + \ 154 | result_csv['Team members 3'].apply(lambda x: 1 if x != 0 else 0) 155 | member_num = result_csv['total number'].value_counts(ascending=True).values[:] if len(result_csv['total number'].value_counts(ascending=True).values) == 3 else result_csv['total number'].value_counts(ascending=True).values[1:4] 156 | index = np.arange(3) # 横轴的特征数，这里有三特征，用于绘制簇状柱形图 157 | feature_index = ['1', '2', '3'] # 横轴x的特征名称 158 | # 进行绘制 159 | plt.figure(figsize=(8, 6)) 160 | plt.style.use('seaborn-whitegrid') 161 | plt.tick_params(size=5, labelsize=13) # 坐标轴 162 | width = 0.6 163 | # 注意下面可以进行绘制误差线，如果是计算均值那种的簇状柱形图的话(注意类别多的话可以用循环的方式搞) 164 | plt.bar(index, member_num, width=width, alpha=0.4, color='#52D896') 165 | for i, data in enumerate(member_num): 166 | plt.text(index[i], data + 0.1, data, horizontalalignment='center', fontsize=13, family='Times New Roman') 167 | plt.xlabel('队伍人数', fontsize=13, family='SimHei') 168 | plt.ylabel('计数', fontsize=13, family='SimHei') 169 | plt.title('队伍中队员人数统计', fontsize=15, family='SimHei') 170 | plt.xticks(index, feature_index) 171 | plt.savefig(f'result\\队伍中队员人数统计.svg', format='svg', bbox_inches='tight') 172 | plt.show() 173 | 174 | # 各个学校获得奖项数量的排名（S、H、M、F、O）（5张图） 175 | # 奖项选择 176 | choose_award = ['Successful Participant', 'Honorable Mention', 'Meritorious Winner', 'Finalist', 177 | 'Outstanding Winner'] 178 | # 颜色列表 179 | color_list = ['#fb9489', '#a9ddd4', '#9ec3db', '#cbc7de', '#fdfcc9'] # 颜色列表 180 | for i, award in enumerate(choose_award): 181 | school_count = result_csv[result_csv['Awards'] == award]['School'].value_counts() # 选出对应奖项的数据 182 | print(school_count) 183 | school_name = school_count.keys().tolist()[:15][::-1] # 显示数量最多前15所学校 184 | school_num = list(school_count.values[:15])[::-1] 185 | height = 0.4 # 高度（每个条形之间） 186 | index = np.arange(len(school_num)) # 特征类别个数 187 | plt.figure(figsize=(8, 6)) 188 | plt.rcParams['axes.unicode_minus'] = False # 用来正常显示正负号 189 | plt.style.use('seaborn-whitegrid') 190 | plt.tick_params(size=5, labelsize=13) # 坐标轴 191 | plt.barh(index, school_num, height=height, color=color_list[i], alpha=1) # 从下往上 192 | for i, data in enumerate(school_num): 193 | plt.text(data, index[i] - 0.17, round(data, 1), fontsize=13, family='Times New Roman') 194 | plt.yticks(index, school_name) # 设置y轴的标签 195 | plt.xlabel('计数', fontsize=13, family='SimHei') # 注意这个还是横轴的 196 | plt.ylabel('学校名称', fontsize=13, family='SimHei') # 竖轴的标签 197 | plt.title(f'获得{award}奖项最多前十五名学校名称', fontsize=15, family='SimHei') 198 | plt.savefig(f'result\\获得{award}奖项最多前十五名学校名称.svg', format='svg', bbox_inches='tight') 199 | plt.show() 200 | 201 | 202 | 203 | 204 | 205 | -------------------------------------------------------------------------------- /plugin/pytesseract/pytesseract.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | import os 3 | import re 4 | import shlex 5 | import string 6 | import subprocess 7 | import sys 8 | from contextlib import contextmanager 9 | from csv import QUOTE_NONE 10 | from errno import ENOENT 11 | from functools import wraps 12 | from glob import iglob 13 | from io import BytesIO 14 | from os.path import abspath 15 | from os import environ 16 | from os import extsep 17 | from os import linesep 18 | from os import remove 19 | from os.path import normcase 20 | from os.path import normpath 21 | from os.path import realpath 22 | from pkgutil import find_loader 23 | from tempfile import NamedTemporaryFile 24 | from time import sleep 25 | import yaml 26 | from packaging.version import InvalidVersion 27 | from packaging.version import parse 28 | from packaging.version import Version 29 | from PIL import Image 30 | from loguru import logger 31 | try: 32 | with open(f"{os.path.abspath('.')}\\config.yaml",'r',encoding='utf-8') as f: 33 | config=yaml.safe_load(f) 34 | tesseract_cmd =config['tesseract_exe'] 35 | except Exception as e: 36 | logger.error('tesseract.exe的文件目录有误') 37 | exit() 38 | 39 | numpy_installed = find_loader('numpy') is not None 40 | if numpy_installed: 41 | from numpy import ndarray 42 | 43 | pandas_installed = find_loader('pandas') is not None 44 | if pandas_installed: 45 | import pandas as pd 46 | 47 | DEFAULT_ENCODING = 'utf-8' 48 | LANG_PATTERN = re.compile('^[a-z_]+$') 49 | RGB_MODE = 'RGB' 50 | SUPPORTED_FORMATS = { 51 | 'JPEG', 52 | 'JPEG2000', 53 | 'PNG', 54 | 'PBM', 55 | 'PGM', 56 | 'PPM', 57 | 'TIFF', 58 | 'BMP', 59 | 'GIF', 60 | 'WEBP', 61 | } 62 | 63 | OSD_KEYS = { 64 | 'Page number': ('page_num', int), 65 | 'Orientation in degrees': ('orientation', int), 66 | 'Rotate': ('rotate', int), 67 | 'Orientation confidence': ('orientation_conf', float), 68 | 'Script': ('script', str), 69 | 'Script confidence': ('script_conf', float), 70 | } 71 | 72 | TESSERACT_MIN_VERSION = Version('3.05') 73 | TESSERACT_ALTO_VERSION = Version('4.1.0') 74 | 75 | 76 | class Output: 77 | BYTES = 'bytes' 78 | DATAFRAME = 'data.frame' 79 | DICT = 'dict' 80 | STRING = 'string' 81 | 82 | 83 | class PandasNotSupported(EnvironmentError): 84 | def __init__(self): 85 | super().__init__('Missing pandas package') 86 | 87 | 88 | class TesseractError(RuntimeError): 89 | def __init__(self, status, message): 90 | self.status = status 91 | self.message = message 92 | self.args = (status, message) 93 | 94 | 95 | class TesseractNotFoundError(EnvironmentError): 96 | def __init__(self): 97 | super().__init__( 98 | f"{tesseract_cmd} is not installed or it's not in your PATH." 99 | f' See README file for more information.', 100 | ) 101 | 102 | 103 | class TSVNotSupported(EnvironmentError): 104 | def __init__(self): 105 | super().__init__( 106 | 'TSV output not supported. Tesseract >= 3.05 required', 107 | ) 108 | 109 | 110 | class ALTONotSupported(EnvironmentError): 111 | def __init__(self): 112 | super().__init__( 113 | 'ALTO output not supported. Tesseract >= 4.1.0 required', 114 | ) 115 | 116 | 117 | def kill(process, code): 118 | process.terminate() 119 | try: 120 | process.wait(1) 121 | except TypeError: # python2 Popen.wait(1) fallback 122 | sleep(1) 123 | except Exception: # python3 subprocess.TimeoutExpired 124 | pass 125 | finally: 126 | process.kill() 127 | process.returncode = code 128 | 129 | 130 | @contextmanager 131 | def timeout_manager(proc, seconds=None): 132 | try: 133 | if not seconds: 134 | yield proc.communicate()[1] 135 | return 136 | 137 | try: 138 | _, error_string = proc.communicate(timeout=seconds) 139 | yield error_string 140 | except subprocess.TimeoutExpired: 141 | kill(proc, -1) 142 | raise RuntimeError('Tesseract process timeout') 143 | finally: 144 | proc.stdin.close() 145 | proc.stdout.close() 146 | proc.stderr.close() 147 | 148 | 149 | def run_once(func): 150 | @wraps(func) 151 | def wrapper(*args, **kwargs): 152 | if wrapper._result is wrapper: 153 | wrapper._result = func(*args, **kwargs) 154 | return wrapper._result 155 | 156 | wrapper._result = wrapper 157 | return wrapper 158 | 159 | 160 | def get_errors(error_string): 161 | return ' '.join( 162 | line for line in error_string.decode(DEFAULT_ENCODING).splitlines() 163 | ).strip() 164 | 165 | 166 | def cleanup(temp_name): 167 | """Tries to remove temp files by filename wildcard path.""" 168 | for filename in iglob(f'{temp_name}*' if temp_name else temp_name): 169 | try: 170 | remove(filename) 171 | except OSError as e: 172 | if e.errno != ENOENT: 173 | raise 174 | 175 | 176 | def prepare(image): 177 | if numpy_installed and isinstance(image, ndarray): 178 | image = Image.fromarray(image) 179 | 180 | if not isinstance(image, Image.Image): 181 | raise TypeError('Unsupported image object') 182 | 183 | extension = 'PNG' if not image.format else image.format 184 | if extension not in SUPPORTED_FORMATS: 185 | raise TypeError('Unsupported image format/type') 186 | 187 | if 'A' in image.getbands(): 188 | # discard and replace the alpha channel with white background 189 | background = Image.new(RGB_MODE, image.size, (255, 255, 255)) 190 | background.paste(image, (0, 0), image.getchannel('A')) 191 | image = background 192 | 193 | image.format = extension 194 | return image, extension 195 | 196 | 197 | @contextmanager 198 | def save(image): 199 | try: 200 | with NamedTemporaryFile(prefix='tess_', delete=False) as f: 201 | if isinstance(image, str): 202 | yield f.name, realpath(normpath(normcase(image))) 203 | return 204 | image, extension = prepare(image) 205 | input_file_name = f'{f.name}_input{extsep}{extension}' 206 | image.save(input_file_name, format=image.format) 207 | yield f.name, input_file_name 208 | finally: 209 | cleanup(f.name) 210 | 211 | 212 | def subprocess_args(include_stdout=True): 213 | # See https://github.com/pyinstaller/pyinstaller/wiki/Recipe-subprocess 214 | # for reference and comments. 215 | 216 | kwargs = { 217 | 'stdin': subprocess.PIPE, 218 | 'stderr': subprocess.PIPE, 219 | 'startupinfo': None, 220 | 'env': environ, 221 | } 222 | 223 | if hasattr(subprocess, 'STARTUPINFO'): 224 | kwargs['startupinfo'] = subprocess.STARTUPINFO() 225 | kwargs['startupinfo'].dwFlags |= subprocess.STARTF_USESHOWWINDOW 226 | kwargs['startupinfo'].wShowWindow = subprocess.SW_HIDE 227 | 228 | if include_stdout: 229 | kwargs['stdout'] = subprocess.PIPE 230 | else: 231 | kwargs['stdout'] = subprocess.DEVNULL 232 | 233 | return kwargs 234 | 235 | 236 | def run_tesseract( 237 | input_filename, 238 | output_filename_base, 239 | extension, 240 | lang, 241 | config='', 242 | nice=0, 243 | timeout=0, 244 | ): 245 | cmd_args = [] 246 | 247 | if not sys.platform.startswith('win32') and nice != 0: 248 | cmd_args += ('nice', '-n', str(nice)) 249 | 250 | cmd_args += (tesseract_cmd, input_filename, output_filename_base) 251 | 252 | if lang is not None: 253 | cmd_args += ('-l', lang) 254 | 255 | if config: 256 | cmd_args += shlex.split(config) 257 | 258 | if extension and extension not in {'box', 'osd', 'tsv', 'xml'}: 259 | cmd_args.append(extension) 260 | 261 | try: 262 | proc = subprocess.Popen(cmd_args, **subprocess_args()) 263 | except OSError as e: 264 | if e.errno != ENOENT: 265 | raise 266 | else: 267 | raise TesseractNotFoundError() 268 | 269 | with timeout_manager(proc, timeout) as error_string: 270 | if proc.returncode: 271 | raise TesseractError(proc.returncode, get_errors(error_string)) 272 | 273 | 274 | def run_and_get_output( 275 | image, 276 | extension='', 277 | lang=None, 278 | config='', 279 | nice=0, 280 | timeout=0, 281 | return_bytes=False, 282 | ): 283 | 284 | with save(image) as (temp_name, input_filename): 285 | kwargs = { 286 | 'input_filename': input_filename, 287 | 'output_filename_base': temp_name, 288 | 'extension': extension, 289 | 'lang': lang, 290 | 'config': config, 291 | 'nice': nice, 292 | 'timeout': timeout, 293 | } 294 | 295 | run_tesseract(**kwargs) 296 | filename = f"{kwargs['output_filename_base']}{extsep}{extension}" 297 | with open(filename, 'rb') as output_file: 298 | if return_bytes: 299 | return output_file.read() 300 | return output_file.read().decode(DEFAULT_ENCODING) 301 | 302 | 303 | def file_to_dict(tsv, cell_delimiter, str_col_idx): 304 | result = {} 305 | rows = [row.split(cell_delimiter) for row in tsv.strip().split('\n')] 306 | if len(rows) < 2: 307 | return result 308 | 309 | header = rows.pop(0) 310 | length = len(header) 311 | if len(rows[-1]) < length: 312 | # Fixes bug that occurs when last text string in TSV is null, and 313 | # last row is missing a final cell in TSV file 314 | rows[-1].append('') 315 | 316 | if str_col_idx < 0: 317 | str_col_idx += length 318 | 319 | for i, head in enumerate(header): 320 | result[head] = list() 321 | for row in rows: 322 | if len(row) <= i: 323 | continue 324 | 325 | if i != str_col_idx: 326 | try: 327 | val = int(float(row[i])) 328 | except ValueError: 329 | val = row[i] 330 | else: 331 | val = row[i] 332 | 333 | result[head].append(val) 334 | 335 | return result 336 | 337 | 338 | def is_valid(val, _type): 339 | if _type is int: 340 | return val.isdigit() 341 | 342 | if _type is float: 343 | try: 344 | float(val) 345 | return True 346 | except ValueError: 347 | return False 348 | 349 | return True 350 | 351 | 352 | def osd_to_dict(osd): 353 | return { 354 | OSD_KEYS[kv[0]][0]: OSD_KEYS[kv[0]][1](kv[1]) 355 | for kv in (line.split(': ') for line in osd.split('\n')) 356 | if len(kv) == 2 and is_valid(kv[1], OSD_KEYS[kv[0]][1]) 357 | } 358 | 359 | 360 | @run_once 361 | def get_languages(config=''): 362 | cmd_args = [tesseract_cmd, '--list-langs'] 363 | if config: 364 | cmd_args += shlex.split(config) 365 | 366 | try: 367 | result = subprocess.run( 368 | cmd_args, 369 | stdout=subprocess.PIPE, 370 | stderr=subprocess.STDOUT, 371 | ) 372 | except OSError: 373 | raise TesseractNotFoundError() 374 | 375 | # tesseract 3.x 376 | if result.returncode not in (0, 1): 377 | raise TesseractNotFoundError() 378 | 379 | languages = [] 380 | if result.stdout: 381 | for line in result.stdout.decode(DEFAULT_ENCODING).split(linesep): 382 | lang = line.strip() 383 | if LANG_PATTERN.match(lang): 384 | languages.append(lang) 385 | 386 | return languages 387 | 388 | 389 | @run_once 390 | def get_tesseract_version(): 391 | """ 392 | Returns Version object of the Tesseract version 393 | """ 394 | try: 395 | output = subprocess.check_output( 396 | [tesseract_cmd, '--version'], 397 | stderr=subprocess.STDOUT, 398 | env=environ, 399 | stdin=subprocess.DEVNULL, 400 | ) 401 | except OSError: 402 | raise TesseractNotFoundError() 403 | 404 | raw_version = output.decode(DEFAULT_ENCODING) 405 | str_version, *_ = raw_version.lstrip(string.printable[10:]).partition(' ') 406 | str_version, *_ = str_version.partition('-') 407 | 408 | try: 409 | version = parse(str_version) 410 | assert version >= TESSERACT_MIN_VERSION 411 | except (AssertionError, InvalidVersion): 412 | raise SystemExit(f'Invalid tesseract version: "{raw_version}"') 413 | 414 | return version 415 | 416 | 417 | def image_to_string( 418 | image, 419 | lang=None, 420 | config='', 421 | nice=0, 422 | output_type=Output.STRING, 423 | timeout=0, 424 | ): 425 | """ 426 | Returns the result of a Tesseract OCR run on the provided image to string 427 | """ 428 | args = [image, 'txt', lang, config, nice, timeout] 429 | 430 | return { 431 | Output.BYTES: lambda: run_and_get_output(*(args + [True])), 432 | Output.DICT: lambda: {'text': run_and_get_output(*args)}, 433 | Output.STRING: lambda: run_and_get_output(*args), 434 | }[output_type]() 435 | 436 | 437 | def image_to_pdf_or_hocr( 438 | image, 439 | lang=None, 440 | config='', 441 | nice=0, 442 | extension='pdf', 443 | timeout=0, 444 | ): 445 | """ 446 | Returns the result of a Tesseract OCR run on the provided image to pdf/hocr 447 | """ 448 | 449 | if extension not in {'pdf', 'hocr'}: 450 | raise ValueError(f'Unsupported extension: {extension}') 451 | args = [image, extension, lang, config, nice, timeout, True] 452 | 453 | return run_and_get_output(*args) 454 | 455 | 456 | def image_to_alto_xml( 457 | image, 458 | lang=None, 459 | config='', 460 | nice=0, 461 | timeout=0, 462 | ): 463 | """ 464 | Returns the result of a Tesseract OCR run on the provided image to ALTO XML 465 | """ 466 | 467 | if get_tesseract_version() < TESSERACT_ALTO_VERSION: 468 | raise ALTONotSupported() 469 | 470 | config = f'-c tessedit_create_alto=1 {config.strip()}' 471 | args = [image, 'xml', lang, config, nice, timeout, True] 472 | 473 | return run_and_get_output(*args) 474 | 475 | 476 | def image_to_boxes( 477 | image, 478 | lang=None, 479 | config='', 480 | nice=0, 481 | output_type=Output.STRING, 482 | timeout=0, 483 | ): 484 | """ 485 | Returns string containing recognized characters and their box boundaries 486 | """ 487 | config = f'{config.strip()} batch.nochop makebox' 488 | args = [image, 'box', lang, config, nice, timeout] 489 | 490 | return { 491 | Output.BYTES: lambda: run_and_get_output(*(args + [True])), 492 | Output.DICT: lambda: file_to_dict( 493 | f'char left bottom right top page\n{run_and_get_output(*args)}', 494 | ' ', 495 | 0, 496 | ), 497 | Output.STRING: lambda: run_and_get_output(*args), 498 | }[output_type]() 499 | 500 | 501 | def get_pandas_output(args, config=None): 502 | if not pandas_installed: 503 | raise PandasNotSupported() 504 | 505 | kwargs = {'quoting': QUOTE_NONE, 'sep': '\t'} 506 | try: 507 | kwargs.update(config) 508 | except (TypeError, ValueError): 509 | pass 510 | 511 | return pd.read_csv(BytesIO(run_and_get_output(*args)), **kwargs) 512 | 513 | 514 | def image_to_data( 515 | image, 516 | lang=None, 517 | config='', 518 | nice=0, 519 | output_type=Output.STRING, 520 | timeout=0, 521 | pandas_config=None, 522 | ): 523 | """ 524 | Returns string containing box boundaries, confidences, 525 | and other information. Requires Tesseract 3.05+ 526 | """ 527 | 528 | if get_tesseract_version() < TESSERACT_MIN_VERSION: 529 | raise TSVNotSupported() 530 | 531 | config = f'-c tessedit_create_tsv=1 {config.strip()}' 532 | args = [image, 'tsv', lang, config, nice, timeout] 533 | 534 | return { 535 | Output.BYTES: lambda: run_and_get_output(*(args + [True])), 536 | Output.DATAFRAME: lambda: get_pandas_output( 537 | args + [True], 538 | pandas_config, 539 | ), 540 | Output.DICT: lambda: file_to_dict(run_and_get_output(*args), '\t', -1), 541 | Output.STRING: lambda: run_and_get_output(*args), 542 | }[output_type]() 543 | 544 | 545 | def image_to_osd( 546 | image, 547 | lang='osd', 548 | config='', 549 | nice=0, 550 | output_type=Output.STRING, 551 | timeout=0, 552 | ): 553 | """ 554 | Returns string containing the orientation and script detection (OSD) 555 | """ 556 | config = f'--psm 0 {config.strip()}' 557 | args = [image, 'osd', lang, config, nice, timeout] 558 | 559 | return { 560 | Output.BYTES: lambda: run_and_get_output(*(args + [True])), 561 | Output.DICT: lambda: osd_to_dict(run_and_get_output(*args)), 562 | Output.STRING: lambda: run_and_get_output(*args), 563 | }[output_type]() 564 | 565 | 566 | def main(): 567 | if len(sys.argv) == 2: 568 | filename, lang = sys.argv[1], None 569 | elif len(sys.argv) == 4 and sys.argv[1] == '-l': 570 | filename, lang = sys.argv[3], sys.argv[2] 571 | else: 572 | print('Usage: pytesseract [-l lang] input_file\n', file=sys.stderr) 573 | return 2 574 | 575 | try: 576 | with Image.open(filename) as img: 577 | print(image_to_string(img, lang=lang)) 578 | except TesseractNotFoundError as e: 579 | print(f'{str(e)}\n', file=sys.stderr) 580 | return 1 581 | except OSError as e: 582 | print(f'{type(e).__name__}: {e}', file=sys.stderr) 583 | return 1 584 | 585 | 586 | if __name__ == '__main__': 587 | exit(main()) 588 | -------------------------------------------------------------------------------- /plugin/poppler-0.68.0/bin/COPYING: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 2, June 1991 3 | 4 | Copyright (C) 1989, 1991 Free Software Foundation, Inc., 5 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA 6 | Everyone is permitted to copy and distribute verbatim copies 7 | of this license document, but changing it is not allowed. 8 | 9 | Preamble 10 | 11 | The licenses for most software are designed to take away your 12 | freedom to share and change it. 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If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. 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Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /result/美赛各奖项计数条形图.svg: -------------------------------------------------------------------------------- 1 | 2 | 4 | 5 | 6 | 7 | 8 | 9 | 2023-05-11T19:40:46.124678 10 | image/svg+xml 11 | 12 | 13 | Matplotlib v3.7.1, https://matplotlib.org/ 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 30 | 31 | 32 | 33 | 39 | 40 | 41 | 42 | 43 | 46 | 47 | 48 | 49 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 96 | 97 | 98 | 99 | 100 | 101 | 102 | 103 | 104 | 105 | 106 | 131 | 132 | 133 | 134 | 135 | 136 | 137 | 138 | 139 | 140 | 141 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | 151 | 152 | 153 | 154 | 173 | 174 | 175 | 176 | 177 | 178 | 179 | 180 | 181 | 182 | 183 | 186 | 187 | 188 | 189 | 190 | 191 | 192 | 193 | 194 | 195 | 196 | 229 | 230 | 231 | 232 | 233 | 234 | 235 | 236 | 237 | 238 | 239 | 242 | 243 | 244 | 245 | 246 | 247 | 248 | 249 | 250 | 251 | 252 | 292 | 293 | 294 | 295 | 296 | 297 | 298 | 299 | 300 | 301 | 302 | 305 | 306 | 307 | 308 | 309 | 310 | 311 | 312 | 313 | 314 | 315 | 327 | 328 | 329 | 330 | 331 | 332 | 333 | 334 | 335 | 336 | 337 | 338 | 341 | 342 | 343 | 344 | 345 | 346 | 347 | 348 | 349 | 350 | 351 | 352 | 353 | 354 | 355 | 356 | 357 | 358 | 359 | 360 | 361 | 362 | 406 | 503 | 504 | 505 | 506 | 507 | 508 | 509 | 510 | 511 | 512 | 515 | 516 | 517 | 518 | 521 | 522 | 523 | 524 | 525 | 526 | 527 | 528 | 529 | 530 | 543 | 565 | 588 | 589 | 606 | 628 | 655 | 689 | 714 | 715 | 716 | 717 | 718 | 719 | 720 | 721 | 722 | 723 | 724 | 725 | 726 | 727 | 728 | 729 | 730 | 733 | 734 | 735 | 736 | 737 | 738 | 739 | 740 | 741 | 742 | 743 | 770 | 783 | 819 | 845 | 887 | 894 | 916 | 923 | 947 | 948 | 949 | 950 | 951 | 952 | 953 | 954 | 955 | 956 | 957 | 958 | 959 | 960 | 961 | 962 | 963 | 964 | 965 | 966 | 967 | 968 | 969 | 972 | 973 | 974 | 975 | 976 | 977 | 978 | 979 | 980 | 981 | 982 | 1002 | 1023 | 1045 | 1052 | 1053 | 1054 | 1055 | 1056 | 1057 | 1058 | 1059 | 1060 | 1061 | 1062 | 1063 | 1064 | 1065 | 1066 | 1067 | 1068 | 1069 | 1070 | 1071 | 1072 | 1073 | 1074 | 1077 | 1078 | 1079 | 1080 | 1081 | 1082 | 1083 | 1084 | 1085 | 1086 | 1087 | 1125 | 1141 | 1169 | 1170 | 1171 | 1172 | 1173 | 1174 | 1175 | 1176 | 1177 | 1178 | 1179 | 1180 | 1181 | 1182 | 1183 | 1184 | 1185 | 1186 | 1187 | 1188 | 1189 | 1190 | 1191 | 1192 | 1193 | 1194 | 1195 | 1196 | 1197 | 1200 | 1201 | 1202 | 1203 | 1204 | 1205 | 1206 | 1207 | 1208 | 1209 | 1210 | 1225 | 1251 | 1269 | 1270 | 1271 | 1272 | 1273 | 1274 | 1275 | 1276 | 1277 | 1278 | 1279 | 1280 | 1281 | 1282 | 1283 | 1284 | 1285 | 1286 | 1287 | 1288 | 1289 | 1290 | 1291 | 1292 | 1295 | 1296 | 1297 | 1298 | 1299 | 1300 | 1301 | 1302 | 1303 | 1304 | 1305 | 1327 | 1328 | 1329 | 1330 | 1331 | 1332 | 1333 | 1334 | 1335 | 1336 | 1337 | 1338 | 1339 | 1340 | 1341 | 1342 | 1343 | 1344 | 1345 | 1346 | 1347 | 1348 | 1349 | 1350 | 1351 | 1354 | 1355 | 1356 | 1357 | 1358 | 1359 | 1360 | 1361 | 1362 | 1363 | 1364 | 1377 | 1378 | 1379 | 1380 | 1381 | 1382 | 1383 | 1384 | 1385 | 1386 | 1387 | 1388 | 1389 | 1390 | 1391 | 1394 | 1395 | 1396 | 1397 | 1398 | 1399 | 1400 | 1401 | 1402 | 1403 | 1404 | 1429 | 1430 | 1431 | 1432 | 1433 | 1434 | 1435 | 1436 | 1437 | 1438 | 1439 | 1440 | 1441 | 1442 | 1443 | 1444 | 1445 | 1446 | 1447 | 1448 | 1449 | 1450 | 1451 | 1452 | 1453 | 1454 | 1455 | 1468 | 1481 | 1482 | 1483 | 1484 | 1485 | 1486 | 1487 | 1488 | 1494 | 1495 | 1496 | 1502 | 1503 | 1504 | 1510 | 1511 | 1512 | 1518 | 1519 | 1520 | 1526 | 1527 | 1528 | 1534 | 1535 | 1536 | 1542 | 1543 | 1544 | 1550 | 1551 | 1552 | 1555 | 1556 | 1557 | 1560 | 1561 | 1562 | 1565 | 1566 | 1567 | 1570 | 1571 | 1572 | 1573 | 1574 | 1575 | 1600 | 1619 | 1620 | 1621 | 1622 | 1623 | 1624 | 1625 | 1626 | 1627 | 1628 | 1658 | 1671 | 1697 | 1698 | 1699 | 1700 | 1701 | 1702 | 1703 | 1704 | 1705 | 1706 | 1707 | 1728 | 1768 | 1769 | 1770 | 1771 | 1772 | 1773 | 1774 | 1775 | 1776 | 1777 | 1778 | 1813 | 1839 | 1840 | 1841 | 1842 | 1843 | 1844 | 1845 | 1846 | 1847 | 1848 | 1849 | 1850 | 1851 | 1852 | 1853 | 1854 | 1855 | 1856 | 1857 | 1858 | 1859 | 1860 | 1861 | 1862 | 1863 | 1864 | 1865 | 1866 | 1867 | 1868 | 1869 | 1870 | 1871 | 1872 | 1873 | 1874 | 1875 | 1876 | 1877 | 1878 | 1879 | 1880 | 1881 | 1882 | 1883 | 1884 | 1959 | 2058 | 2105 | 2178 | 2239 | 2240 | 2241 | 2242 | 2243 | 2244 | 2245 | 2246 | 2247 | 2248 | 2249 | 2250 | 2251 | 2252 | 2253 | 2254 | 2255 | 2256 | 2257 | --------------------------------------------------------------------------------