人群计数数据集标注工具-需要matlab

import csv import sys import glob import os import numpy as np import pandas as pd # with open('1.csv') as csv_file: # row = csv.reader(csv_file, delimiter = ',') # next(row) input_path='./den/3.csv' den = pd.read_csv(input_path, sep=',',header=None).values den = den.astype(np.float32, copy=False) gt = np.sum(den) print(gt) # # output_file=sys.argv[2] # # #定义三个标题，分别代表 文件名，总和，平均值 # # header_list=['filename','total_sales','average_sales'] # # csv_out_file=open(output_file,'a',newline='') # # filewriter=csv.writer(csv_out_file) # # filewriter.writerow(header_list) # #开始循环，找到对应路径下的文件 # with open(input_path,'r',newline='') as csv_in_file: # filereader=csv.reader(csv_in_file) # # output_list=[] # # output_list.append(os.path.basename(input_file)) # header=next(filereader) # total_sales=0.0 # number_of_sales=0.0 # #通过循环找出每一行对应的数字来进行求和和平均值 # for row in filereader: # sale_amount=row[3] # print(sale_amount) # #求和 # total_sales+=float(str(sale_amount).strip('$').replace(',','')) # number_of_sales+=1 # print(total_sales) #求平均值 # average_sales='{0:.2f}'.format(total_sales/number_of_sales) # output_list.append(total_sales) # output_list.append(average_sales) # filewriter.writerow(output_list) # csv_out_file.close()