来源：
核酸结果统计难？复旦博士生的操作火了
https://m.gmw.cn/baijia/2022-04/08/35644611.html
1 程序背景
学校要收核酸截图，汇总太麻烦了，故将OCR整合到数据中。
1.1 命名规范
20200250202003曹文举4.12阴性.jpg
1.2 EasyOCR
easyOCR
https://github.com/JaidedAI/EasyOCR
pip install easyocr
2 程序
import timeit import xlsxwriter import cv2 as cv import numpy as np import os import easyocr import re os.environ['KMP_DUPLICATE_LIB_OK'] = 'True' def load_file_name(file_name): # file_name = "201902811221邱江4.12阴性.jpg" file_result_date_no = re.findall(r"\d+", file_name) no = file_result_date_no[0] date = '2022-0' + file_result_date_no[1] + '-' + file_result_date_no[2] file_result_name_name_check = re.findall('[\u4e00-\u9fa5]', file_name) # print(file_result_name_name_check) check = file_result_name_name_check[len(file_result_name_name_check)-2] +file_result_name_name_check[len(file_result_name_name_check)-1] # 检测结果 up = len(file_result_name_name_check)-2 name = '' for i in range(up): name = name + file_result_name_name_check[i] # print("姓名：",name) # print("日期：",date) # print("学号：",no) # print("结果：",check) return name,date,no,check def load_image(path,name,date,check): # coding=utf-8 # 当前目录读取一张图片,转化为灰色 img = cv.imdecode(np.fromfile(path, dtype=np.uint8), 0) reader = easyocr.Reader(['ch_sim', 'en']) result = reader.readtext(img) # 拼接单个图片的识别结果 result_str = '' for i in result : result_str = result_str+i[1] # print("包含无关文字：", result_str) temp = re.sub('[a-zA-Z]', '', result_str) # print("去掉无关文字：",temp) a = temp.find("若上述") result = temp[0:a] # print(result) # print("消除无用信息：",result) result = result.replace('\n', '') # 去掉换行符 result = result.replace(' ', '') # 去掉空格 result = result.replace(':', '') # 去掉- result = result.replace('：', '') # 去掉- result = result.replace("核酸检测结果为","") result = result.replace("核酸检测结果","") # print(result) # 姓名校正 if result.find(name) == -1: # print("识别失败") name_ocr = "识别失败" check_ocr = "字体原因识别失败" else: # print("名字校正成功：",name) # name_ocr = name name_ocr = "姓名正确" # 阴性与阳性 if result.find(check) == -1: # print("识别失败") check_ocr = "字体原因识别失败/" else: # print("识别结果与文件核酸结果相同") check_ocr = "核酸结果一致" result = result.replace('阴性', '') result = result.replace('阳性', '') # 检测机构 if result.find("检测机构") == -1: # print("识别失败") organization_ocr = "字体原因识别失败" check_ocr = "字体原因识别失败/" else: index = result.find("检测机构") # print("检测机构:",result[index+4:]) organization_ocr = result[index+4:] result = result[0:index] # 核酸检测时间 if result.find("检测时间") == -1: date_ocr = "字体原因识别失败" check_ocr = "字体原因识别失败/" # print("识别失败") else: index = result.find("检测时间") # print("检测时间：",result[index + 4:]) date_ocr = result[index + 4:] if date_ocr == date: date_ocr = "检测时间正确" result = result[0:index - 1] return name_ocr,check_ocr,organization_ocr,date_ocr # 读取函数，用来读取文件夹中的所有函数，输入参数是文件名 def read_directory(directory_name): for filename in os.listdir(directory_name): for filename_1 in os.listdir(directory_name+"/"+filename): # print(filename_1) # 仅仅是为了测试 name,date,no,check = load_file_name(filename_1) path = directory_name + "/" + filename+"/"+filename_1 name_ocr,check_ocr,organization_ocr,date_ocr = load_image(path,name,date,check) print("提交数据：",name,date,check,no) print("OCR数据：",name_ocr,date_ocr,check_ocr,organization_ocr) result_list = [name,date,check,no,name_ocr,date_ocr,check_ocr,organization_ocr] result_list_total.append(result_list) if __name__ == '__main__': start = timeit.default_timer() # 保存excel result_list_total=[["姓名","日期","核算结果","学号","姓名校对","时间校对","核酸状态校对","核酸医院"]] read_directory("./imge")#这里传入所要读取文件夹的绝对路径，加引号（引号不能省略！） # xlsxwriter只可以新建一个excel，不可以读取和更新 # 创建一个workbook 和增加一个worksheet，默认为sheet1...，也可以直接为sheet命名，例如下边的test workbook = xlsxwriter.Workbook('./data.xlsx') # 添加 sheet worksheet = workbook.add_worksheet("elite") # 下方Sheet名 worksheet.set_column(0,len(result_list_total),18) #全部列宽为18 # 测试数据 result_list_total = tuple(result_list_total) print(result_list_total) # 从首行、首列开始. row = 0 col = 0 # 通过迭代写入数据. for name,date,check,no,name_ocr,date_ocr,check_ocr,organization_ocr in (result_list_total): worksheet.write(row, col, name) worksheet.write(row, col + 1, date) worksheet.write(row, col + 2, check) worksheet.write(row, col + 3, no) worksheet.write(row, col + 4, name_ocr) worksheet.write(row, col + 5, date_ocr) worksheet.write(row, col + 6, check_ocr) worksheet.write(row, col + 7, organization_ocr) row += 1 # 只有此函数才可以生成excel workbook.close() #中间写上代码块 end = timeit.default_timer() print('一共耗时 %s 秒'%(end-start)) total = len(result_list_total) print("处理完毕，共处理 %s 条学生信息"%total)
3 结果
