Download/datasetImage_size.py

import csv

downloadList = open("/home/limmireu/문서/csv/Download_imageFile.csv", "r", encoding="utf8")
downloadList = csv.reader(downloadList)

datasetSize = {"All": 0.0, "Training": 0.0, "Validation": 0.0}

for row in downloadList:
    datasetFileInfo = row[0].split("_")[0]
    datasetFileSize = row[1].split(" ")

    sizeNum = datasetFileSize[0]
    sizeType = datasetFileSize[1]

    if datasetFileInfo[0] == "T": # 학습 데이터
        if sizeType == "KB":
            datasetSize["Training"] += float(sizeNum)/(1024**1)
        
        elif sizeType == "MB":
            datasetSize["Training"] += float(sizeNum)/(1024**2)

        elif sizeType == "GB":
            datasetSize["Training"] += float(sizeNum)/(1024**3)


    elif datasetFileInfo[0] == "V": # 검증 데이터
        if sizeType == "KB":
            datasetSize["Validation"] += float(sizeNum)/(1024**1)
        
        elif sizeType == "MB":
            datasetSize["Validation"] += float(sizeNum)/(1024**2)

        elif sizeType == "GB":
            datasetSize["Validation"] += float(sizeNum)/(1024**3)


    if sizeType == "KB":
        datasetSize["All"] += float(sizeNum)/(1024**1)
    
    elif sizeType == "MB":
        datasetSize["All"] += float(sizeNum)/(1024**2)

    elif sizeType == "GB":
        datasetSize["All"] += float(sizeNum)/(1024**3)

print(datasetSize)