批量提取yolo训练后的csv，方便对比个模型之间的优劣_已经训练好的csv

import os
import csv
 
# 文件夹路径
folder_path = r"E:\yolov5-master\runs\train"
 
# 创建结果csv文件并写入表头
result_file = "epresult.csv"
with open(result_file, mode='w', newline='') as file:
    writer = csv.writer(file)
    writer.writerow(['Folder Name', 'Line Count', 'metrics/mAP_0.5', 'metrics/mAP_0.5:0.95'])
 
    # 遍历文件夹
    for folder_name in os.listdir(folder_path):
        folder_dir = os.path.join(folder_path, folder_name)
 
        # 寻找.csv文件
        for file_name in os.listdir(folder_dir):
            if file_name.endswith(".csv"):
                csv_file = os.path.join(folder_dir, file_name)
 
                # 打开并读取CSV文件
                with open(csv_file, mode='r') as csv_data:
                    csv_reader = csv.reader(csv_data)
                    data = list(csv_reader)
 
                    # 获取行数
                    line_count = len(data) - 1
 
                    # 提取指定列的最后一行数据
                    mAP_0_5 = data[-1][data[0].index('     metrics/mAP_0.5')]
                    mAP_0_5_0_95 = data[-1][data[0].index('metrics/mAP_0.5:0.95')]
 
                    # 将提取的数据写入结果csv文件
                    writer.writerow([folder_name, line_count, mAP_0_5, mAP_0_5_0_95])