細(xì)節(jié)：Python 3.7.1，Mac OS High Sierra 10.13.6。我正在使用 IDLE 并通過終端運(yùn)行程序。我最近在 MNIST 手寫數(shù)字上取得了成功，現(xiàn)在我正在嘗試用我自己的數(shù)據(jù)集訓(xùn)練一個生成對抗網(wǎng)絡(luò)。數(shù)據(jù)集是一個圖像文件夾。錯誤：Traceback (most recent call last):  File "Pride.py", line 29, in <module>    listing = os.listdir(path1)    FileNotFoundError: [Errno 2] No such file or directory: 'Users/darren/Desktop/Pride'我已經(jīng)查看了有關(guān)此問題的其他線程，但不明白我的路徑有什么問題，所以如果我的錯誤是由于一些簡單的原因，我深表歉意。我從終端執(zhí)行的 Python 文件和我的數(shù)據(jù)集文件夾都在我的桌面上。到目前為止，這是我的代碼：from keras.models import Sequentialfrom keras.layers.core import Dense, Dropout, Activation, Flattenfrom keras.layers.convolutional import Convolution2D, MaxPooling2Dfrom keras.optimizers import SGD,RMSprop,adamfrom keras.utils import np_utilsimport numpy as npimport matplotlib.pyplot as pltimport matplotlibimport osimport theanofrom PIL import Imagefrom numpy import *from sklearn.utils import shufflefrom sklearn.model_selection import train_test_split# input image dimensionsimg_rows, img_cols = 200, 200# number of channelsimg_channels = 1#%%#  datapath1 = "Users/darren/Desktop/Pride" #path of folder of images    path2 = "Users/darren/Desktop/Prideresized"  #path of folder to save imageslisting = os.listdir(path1) num_samples=size(listing)print ("num_samples")for file in listing:    im = Image.open(path1 + '\\' + file)       img = im.resize((img_rows,img_cols))    gray = img.convert('L')    gray.save(path2 +'\\' +  file, "JPEG")