numpy数组做图片拼接的实现（concatenate、vstack、hstack）
两种方法拼接
#img = np.vstack((img, img2)) # vstack按垂直方向，hstack按水平方向 img = np.concatenate((img, img2), axis=0) # axis=0 按垂直方向，axis=1 按水平方向
统一图片大小，保证数组维度一致避免拼接失败。 把图片全部调整成第一张图的宽高
def img_size(image_names,width, height):
for i in image_names:
img = cv2.imread(os.path.join(img_path, i))
img_resize = cv2.resize(img, (width, height), interpolation=cv2.INTER_CUBIC)
cv2.imwrite(os.path.join(img_path, i), img_resize)
print(os.path.join(img_path, i))
完整案例，拼接文件夹中的所有图片
import cv2
import os
import numpy as np
def img_size(image_names,width, height):
for i in image_names:
img = cv2.imread(os.path.join(img_path, i))
img_resize = cv2.resize(img, (width, height), interpolation=cv2.INTER_CUBIC)
cv2.imwrite(os.path.join(img_path, i), img_resize)
print(os.path.join(img_path, i))
if __name__ == '__main__':
img_path = r'F:\studytest'
image_names = [name for name in os.listdir(img_path) if os.path.splitext(name)[1] == ".jpg"]
img1 = cv2.imread(os.path.join(img_path, image_names[0]))
width, height = img1.shape[:2][::-1]
img_size(image_names,width, height)
img = img1
for i in range(1,len(image_names)):
img_page = image_names[i]
img2 = cv2.imread(os.path.join(img_path, img_page))
#img = np.vstack((img, img2)) # vstack按垂直方向，hstack按水平方向
img = np.concatenate((img, img2), axis=0) # axis=0 按垂直方向，axis=1 按水平方向
cv2.imwrite(os.path.join(img_path,"res.jpg"), img)
# cv2.imshow("img",img)
# cv2.waitKey()
``
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持【听图阁-专注于Python设计】。
