我将图像存储在目录中：

from pathlib import Path from PIL import Image import os, shutil from os import listdir

Image Resizing

from PIL import Image

load and display an image with Matplotlib

from matplotlib import image from matplotlib import pyplot

Image folder

images_dir = Path('C:\Users\HP\Desktop\XXXXXXXXXXXXXXXXX\images').expanduser() images_dir

dim = (400, 300)

Resizing all the images to same dimension

X_image_train = [] for fname in listdir(images_dir): fpath = os.path.join(images_dir, fname) im = Image.open(fpath) im_resized = im.resize(dim) X_image_train.append(im_resized)

Converting the image to numpy array

X_image_array=[] for x in range(len(X_image_train)): X_image=np.array(X_image_train[x],dtype='uint8') X_image_array.append(X_image)

Checking the size of a single image

X_image_array[0].shape

(300, 400, 3)

# Checking the size of a single image X_image_array[15].shape > (300, 400, 3)

我想将'X_image_array'转换为具有以下暗淡的张量：

(2000,300, 400, 3)

其中2000是“图像”文件夹中的样本数。

在这里需要帮助吗？