python 同目录下所有jpg图片根据重合部分进行拼接，并保存为新图片

在Python中，我们可以使用PIL（Python Imaging Library）或其更现代的替代品Pillow库来处理图像，以及matplotlib或opencv等库来进行图像操作和比较。要根据重合部分拼接同目录下的jpg图片，你需要完成以下几个步骤：

1. 导入所需的库：

from PIL import Image
import os

2. 定义一个函数来计算两张图片的重叠区域：

def get_intersection(img1_path, img2_path):
    im1 = Image.open(img1_path)
    im2 = Image.open(img2_path)
    
    intersection_area = im1.crop(im1.getbbox()).crop(im2.getbbox())
    if not intersection_area:
        return None
    else:
        return intersection_area

3. 遍历文件夹，找出所有.jpg文件并尝试拼接：

def merge_images_by_overlap(directory, output_image_path):
    images = [img for img in os.listdir(directory) if img.endswith('.jpg')]
    merged_image = Image.new('RGB', (0, 0))
    
    for i, img1 in enumerate(images[:-1]):
        for img2 in images[i+1:]:
            intersection = get_intersection(os.path.join(directory, img1), os.path.join(directory, img2))
            
            # 如果找到重叠，合并到merged_image上
            if intersection is not None:
                width, height = intersection.size
                merged_image.paste(intersection, (merged_image.width, merged_image.height))
                merged_image.width += width
                merged_image.height = max(merged_image.height, height)

    merged_image.save(output_image_path)

4. 调用合并函数：

merge_images_by_overlap('/path/to/your/directory', 'output_mosaic.jpg')

注意替换`'/path/to/your/directory'`为你实际图片所在的目录。