我正在做一个ML项目来识别不同用户的silouhettes。我有一个1900图像的原始图像数据集。我想将它们转换为CSV数据集，标签是用户的名字。我目前被转换图像到numpy数组的部分卡住了。代码在这里

from PIL import Image
import numpy as np
import sys
import os
import csv

# default format can be changed as needed
def createFileList(myDir, format='.jpg'):
    fileList = []
    print(myDir)
    for root, dirs, files in os.walk(myDir, topdown=False):
        for name in files:
            if name.endswith(format):
                fullName = os.path.join(root, name)
                fileList.append(fullName)
    return fileList

rahul = []

# load the original image
myFileList = createFileList(r'C:\Users\Mr.X\PycharmProjects\Gait_Project\data\rahul')

for file in myFileList:
    print(file)
    img_file = Image.open(file)
    # img_file.show()

    # get original image parameters...
    width, height = img_file.size
    format = img_file.format
    mode = img_file.mode

    # Make image Greyscale
    img_grey = img_file.convert('L')
    img_res = img_grey.resize((480, 272))
    # img_grey.save('result.png')
    # img_grey.show()

    # Save Greyscale values
    value = np.asarray(img_res.getdata(), dtype=np.int).reshape((img_res.size[1], img_res.size[0]))
    value = value.flatten()
    print(value)
    npvalue = np.array(value)
    rahul.append(npvalue)

    #with open("rahul.csv", 'a') as f:
    #    writer = csv.writer(f)
    #    writer.writerow(value)

final = np.array(rahul)
np.save("rahul.npy", final)

字符串
我的目标是使一个数据集与1900图像和4标签，目前，同时使numpy数组图像的每个像素都在一个单独的列中输入.如果1900行和200k列，需要成为1900行和2列.任何建议或帮助表示赞赏