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 cv2import osimport numpy as npdef 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。