python opencv拼接文件夹下的所有图片

在Python中，可以使用OpenCV库来操作图片，并且可以使用Python内置的os库来操作文件夹。拼接文件夹下的所有图片的方法如下：

1.首先，需要导入OpenCV库和os库。

import cv2
import os

2.设置文件夹路径和拼接后的图片名称。

folder_path = 'folder_path'
output_image_name = 'output_image.jpg'

3.获取文件夹下的所有图片路径。

image_paths = [os.path.join(folder_path, f) for f in os.listdir(folder_path) if f.endswith('.jpg')]

4.读取所有图片并获取图片的大小。

images = []
widths = []
heights = []
for image_path in image_paths:
    image = cv2.imread(image_path)
    images.append(image)
    height, width, _ = image.shape
    widths.append(width)
    heights.append(height)

5.计算拼接后的图片大小。

max_height = max(heights)
total_width = sum(widths)

6.创建一张新的图片，大小为所有图片拼接后的大小。

new_image = np.zeros((max_height, total_width, 3), dtype=np.uint8)

7.将所有图片拼接到新的图片上。

x_offset = 0
for image in images:
    new_image[0:image.shape[0], x_offset:x_offset+image.shape[1]] = image
    x_offset += image.shape[1]

8.保存新的图片。

cv2.imwrite(output_image_name, new_image)

完整代码如下：

import cv2
import os
import numpy as np

folder_path = 'folder_path'
output_image_name = 'output_image.jpg'

image_paths = [os.path.join(folder_path, f) for f in os.listdir(folder_path) if f.endswith('.jpg')]

images = []
widths = []
heights = []
for image_path in image_paths:
    image = cv2.imread(image_path)
    images.append(image)
    height, width, _ = image.shape
    widths.append(width)
    heights.append(height)

max_height = max(heights)
total_width = sum(widths)

new_image = np.zeros((max_height, total_width, 3), dtype=np.uint8)

x_offset = 0
for image in images:
    new_image[0:image.shape[0], x_offset:x_offset+image.shape[1]] = image
    x_offset += image.shape[1]

cv2.imwrite(output_image_name, new_image)